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Web Page to PDF Converter

This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.

Requirements

The script requires the following:

  • python 3.7 or above

Dependencies

The script relies on several Python libraries:

  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.

Installation

Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.

  1. Clone the repository:

    git clone [repository-url]
cd [repository-directory]

  2. Set up a virtual environment (optional but recommended):

    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`

  3. Install the required packages:

    pip install requests beautifulsoup4 weasyprint

    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.

Running the Script

To run the script, simply execute it with Python:

python scraper.py

The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.

Customization

You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.

License

GPL-3.0 License. See LICENSE for more information.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.

Contact

For any queries or assistance, feel free to open an issue in the repository.

About

This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

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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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Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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, '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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Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
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Watchers
1 watching
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0 forks
Report repository
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, '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" + '

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Repository files navigation
Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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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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Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
0 stars
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1 watching
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0 forks
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, '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('^' + ".*" + '

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Repository files navigation
Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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); }
})();
})();

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Web Page to PDF Converter
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
Requirements
The script requires the following:
  • python 3.7 or above
Dependencies
The script relies on several Python libraries:
  • requests: For making HTTP requests to fetch web pages.
  • beautifulsoup4: For parsing HTML and extracting information.
  • weasyprint: For converting HTML content to a PDF file.
Installation
Before running the script, you'll need to ensure you have Python installed on your system. The script has been tested with Python 3.7 and above.
  1. Clone the repository:
    git clone [repository-url]
cd [repository-directory]
  2. Set up a virtual environment (optional but recommended):
    python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
  3. Install the required packages:
    pip install requests beautifulsoup4 weasyprint
    Note: WeasyPrint has additional dependencies that might need to be installed separately. Please refer to the WeasyPrint Documentation for detailed installation instructions.
Running the Script
To run the script, simply execute it with Python:
python scraper.py
The script will prompt you for the URL of the main page, then scrape content from this page and its subpages, compiling everything into a PDF.
Customization
You can modify the script to point to different URLs or adjust the PDF settings as per your requirements.
License
GPL-3.0 License. See LICENSE for more information.
Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
Contact
For any queries or assistance, feel free to open an issue in the repository.
About
This project is a Python script that scrapes content from a specified web page and its subpages, and then compiles this content into a single PDF document. It's particularly useful for consolidating information from multiple web pages into one easily accessible file.
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