Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

PYTOMO: A YouTube Crawler

Pytomo is a YouTube crawler designed to figure out network information out of YouTube video download. Video crawl

pytomo [-r max_rounds] [-u max_crawled_url] [-p max_per_url] [-P
max_per_page] [-t time_frame] [-n ping_packets] [-D download_time] [-B
buffering_video_duration] [-M min_playout_buffer_size] [-x] [-L log_level] [-R]
[input_urls]:
Options:
-h, --help show this help message and exit
-r MAX_ROUNDS Max number of rounds to perform (default 10000)
-l, --loop Loop after completing the max nb of rounds
-u MAX_CRAWLED_URL Max number of urls to visit (default 5000000)
-p MAX_PER_URL Max number of related urls from each page (default 20)
-P MAX_PER_PAGE Max number of related videos from each page (default
20)
-t TIME_FRAME Timeframe for the most popular videos to fetch at
start of crawl put 'today', 'week', 'month' or
'all_time' (default 'week')
-n PING_PACKETS Number of packets to be sent for each ping (default
10)
-D DOWNLOAD_TIME Download time for the video in seconds (default
30.000000)
-B INITIAL_PLAYBACK_DURATION¶
Buffering video duration in seconds (default
2000.000000)
-M MIN_PLAYOUT_BUFFER_SIZE
Minimum Playout Buffer Size in seconds (default
0.100000)
-x Do NOT store public IP address of the machine in the
logs
-L LOG_LEVEL The log level setting for the Logging module.Choose
from: 'DEBUG', 'INFO', 'WARNING', 'ERROR' and
'CRITICAL' (default 'DEBUG')
--http-proxy=PROXIES in case of http proxy to reach Internet (default None)
--provider=PROVIDER Indicate the ISP
-R, --no-related Do NOT crawl related videos (stays with the first urls
found: either most popular or arguments given)

Graphical web interface to display graphs about the crawled data

start_server.py [-v] [-f database] [-d database_directory] port
Options:
-h, --help show this help message and exit
-v, --verbose run as verbose mode
-f DB_NAME, --file=DB_NAME
run on a specific database (by default the latest
database in the default database directory is
selected)
-d DB_DIR_NAME, --dir=DB_DIR_NAME
run on a specific directory where the latest database
will be selected

Installation-free

In order to provide installation-free package, we provide binary executables for Linux (32 and 64bits), Windows, and Mac OS X. The binaries files were generated with .Pyinstaller (version 1.5RC1).

If you have Python installed, you can directly run the start_crawl.py script at root or the pytomo script in bin directory.

If you have Python installed and the RRDtool and webpy python bindings, you can directly run the 'start_server.py' script at root - you need to specify a port on which to start the server and then connect to that port on the respective host from your favourite browser. For example, you start the graphical web interface on port 5555:

 ./start_server.py 5555

You will then connect on the respective machine (you need to know its IP and make sure it allows external connections, otherwise you will only be able to see the graphs locally on that machine):

 http://127.0.0.1:5555/ <= visualisation on local machine
http://10.193.224.73:5555/ <= visualisation from remote host

By default, the graphs are collected with information from the latest database in the default database directory. If a new live crawl is started, it is recommended to stop and start again the graphical web interface and refresh the page from your browser.

External Resources

We based the lib_youtube_download on .YouTube Download script: we simplified it at most and include only the classes we needed (and only YouTube video retrieval).

The dns module is taken from the .DNS Python Package: we just modified rdata so that .Pyinstaller include all needed modules.

The extraction of metadata out of video files is an adaptation of .Kaa Metadata Python Package: it has been modified in order to be independent of Kaa-base (thus pure Python and portable).

The graphical web interface requires the following external resources, that we recommend you to install from the repository of your OS distribution:

  1. .RRDtool python binding
  • For Debian based OS: sudo apt-get install python-rrdtool
  • For RHEL based OS: yum install python-rrdtool
  1. .webpy
  • For Debian based OS: sudo apt-get install python-webpy
  • For RHEL based OS:yum install python-webpy

External Links

About

Youtube crawler to measure end-to-end video reception quality

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages