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SEO Scraping

This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.

SEO Scraping

Prerequisites

  • Python 3.x
  • requests library
  • beautifulsoup4 library

Installation

Install this tool with pip

pip install requests
pip install beautifulsoup4

Usage

Clone the project

 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory

 cd PySEO-Scraper

Install dependencies

 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:

url="https://google.com/"

Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.

python3scrape.py

The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:

  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)

If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.

Link Audit

link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.

python link_audit.py https://example.com

To skip checking link targets use:

python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About

This is a Python script that scrapes a website for metadata and generates an XML file with the collected data.

roomikh.com

Topics

chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools

Resources

Readme
Activity

Stars

10 stars

Watchers

1 watching

Forks

3 forks
Report repository

Contributors

Languages

, '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" + '

Skip to content
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
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
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
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
BranchesTags
Repository files navigation
SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
Resources
Readme
Activity
Stars
10 stars
Watchers
1 watching
Forks
3 forks
Report repository
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); }
})();
})();

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SEO Scraping
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. The script uses the requests and beautifulsoup4 libraries to retrieve and parse the HTML of the website, and the xml.etree.ElementTree and xml.dom.minidom libraries to create the XML file.
SEO Scraping
Prerequisites
  • Python 3.x
  • requests library
  • beautifulsoup4 library
Installation
Install this tool with pip
pip install requests
pip install beautifulsoup4

Usage
Clone the project
 git clone https://github.com/therealroomio/PySEO-Scraper

Go to the project directory
 cd PySEO-Scraper

Install dependencies
 pip install requests
pip install beautifulsoup4

To use the script, open scrape.py and update the following line of code:
url="https://google.com/"
Replace https://google.com/ with the URL of the website you want to scrape then run it in Python.
python3scrape.py
The script will output an XML file in the same directory as the script, with the name <title>.xml. The file will contain the following metadata:
  • Title
  • Description
  • Keywords
  • Canonical URL (from <link rel="canonical">)
  • Robots
  • Open Graph title
  • Open Graph description
  • Open Graph image
  • Twitter title
  • Twitter description
  • Twitter image
  • H1 tags
  • H2 tags
  • Image alt text
  • SEO audit warnings (title/meta lengths, heading hierarchy, keyword density)
If any of the metadata is missing on the website, the script will insert "missing" as the value for that metadata.
Link Audit
link_audit.py checks a page for broken <a> links, images missing alt text, and retrieves robots.txt and sitemap.xml from the target domain.
python link_audit.py https://example.com
To skip checking link targets use:
python link_audit.py https://example.com --skip-links
=======
The generated report also contains a short summary table of the key SEO metrics.
## Authors
[@therealroomio](https://www.github.com/therealroomio) using ChatGPT

About
This is a Python script that scrapes a website for metadata and generates an XML file with the collected data. 
roomikh.com
Topics
chatgptpythonpython-seo-analyzerpython3search-engine-optimizationseoseo-analysisseo-freeseo-optimizationseo-scriptseo-tools
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