Playwright Scraper▌
by dennisgl
Leverage advanced web scraping in Node.js using Playwright and BeautifulSoup for robust JavaScript web scraping and cont
Leverages Playwright and BeautifulSoup to enable robust web scraping and content extraction, converting complex JavaScript-heavy web pages into high-quality Markdown with browser automation capabilities.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Extracting content from dynamic websites
- / Converting web articles to readable format
- / Automating content research and documentation
capabilities
- / Scrape JavaScript-heavy websites
- / Convert web content to Markdown
- / Handle modern web pages with browser automation
- / Parse and clean HTML content
- / Control SSL certificate verification
what it does
Scrapes web content from JavaScript-heavy sites using Playwright browser automation and converts it to clean Markdown format.
about
Playwright Scraper is a community-built MCP server published by dennisgl that provides AI assistants with tools and capabilities via the Model Context Protocol. Leverage advanced web scraping in Node.js using Playwright and BeautifulSoup for robust JavaScript web scraping and cont It is categorized under search web. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install Playwright Scraper in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Playwright Scraper is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
mcp-playwright-scraper
A Model Context Protocol (MCP) server that scrapes web content and converts it to Markdown.
Overview
This MCP server provides a simple tool for scraping web content and converting it to Markdown format. It uses:
- Playwright: For headless browser automation to handle modern web pages including JavaScript-heavy sites
- BeautifulSoup: For HTML parsing and cleanup
- Pypandoc: For high-quality HTML to Markdown conversion
Tools
The server implements a single tool:
scrape_to_markdown: Scrapes content from a URL and converts it to Markdown- Required parameter:
url(string) - The URL to scrape - Optional parameter:
verify_ssl(boolean) - Whether to verify SSL certificates (default: true)
- Required parameter:
Installation
Using uv (recommended)
When using uv no specific installation is needed. We will
use uvx to directly run mcp-playwright-scraper.
Using PIP
Alternatively you can install mcp-playwright-scraper via pip:
pip install mcp-playwright-scraper
After installation, you can run it as a script using:
python -m mcp_playwright_scraper
Prerequisites
- Python 3.11 or higher
- Playwright browser dependencies
- Pandoc (optional, will be automatically installed by pypandoc if possible)
After installation, you need to install Playwright browser dependencies:
playwright install --with-deps chromium
Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
"mcpServers": {
"mcp-playwright-scraper": {
"command": "uvx",
"args": ["mcp-playwright-scraper"]
}
}
</details>
<details>
<summary>Using pip installation</summary>
"mcpServers": {
"mcp-playwright-scraper": {
"command": "python",
"args": ["-m", "mcp_playwright_scraper"]
}
}
</details>
Usage with Claude Code
# Basic syntax
$ claude mcp add mcp-playwright-scraper -- uvx mcp-playwright-scraper
# Alternatively, with pip installation
$ claude mcp add mcp-playwright-scraper -- python -m mcp_playwright_scraper
<details>
<summary>Development/Unpublished Servers Configuration</summary>
"mcpServers": {
"mcp-playwright-scraper": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-playwright-scraper",
"run",
"mcp-playwright-scraper"
]
}
}
</details>
Usage with Zed
Add to your Zed settings.json:
<details> <summary>Using uvx</summary>"context_servers": [
"mcp-playwright-scraper": {
"command": {
"path": "uvx",
"args": ["mcp-playwright-scraper"]
}
}
],
</details>
<details>
<summary>Using pip installation</summary>
"context_servers": {
"mcp-playwright-scraper": {
"command": "python",
"args": ["-m", "mcp_playwright_scraper"]
}
},
</details>
Usage with Cursor
- Open Cursor Settings
- Navigate to Cursor Settings > Features > MCP
- Click the "+ Add New MCP Server" button
- Configure the Server
- Name:
mcp-playwright-scraper - Type: Select
stdio - Command: Enter one of the following:
- Name:
uvx mcp-playwright-scraper
</details>
<details>
<summary>Using pip installation</summary>
python -m mcp_playwright_scraper
</details>
Usage
Once configured in Claude Desktop, you can explicitly use the scraper with a prompt like:
Use the mcp-playwright-scraper to scrape the content from https://example.com and summarize it.
Debugging
You can use the MCP inspector to debug the server:
npx @modelcontextprotocol/inspector uvx mcp-playwright-scraper
Or if you've installed the package in a specific directory or are developing on it:
cd path/to/mcp-playwright-scraper
npx @modelcontextprotocol/inspector uv run mcp-playwright-scraper
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
License
This MCP server is licensed under the Apache License, Version 2.0. You are free to use, modify, and distribute the software, subject to the terms and conditions of the Apache License 2.0. For more details, please see the LICENSE file in the project repository or visit http://www.apache.org/licenses/LICENSE-2.0.
FAQ
- What is the Playwright Scraper MCP server?
- Playwright Scraper is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Playwright Scraper?
- This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★46 reviews- ★★★★★Mia Liu· Dec 8, 2024
We evaluated Playwright Scraper against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Rahul Santra· Nov 27, 2024
Playwright Scraper has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arya Lopez· Nov 27, 2024
I recommend Playwright Scraper for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Pratham Ware· Oct 18, 2024
According to our notes, Playwright Scraper benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arjun Gill· Oct 18, 2024
Strong directory entry: Playwright Scraper surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ava Sethi· Sep 21, 2024
Playwright Scraper reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yash Thakker· Sep 13, 2024
We wired Playwright Scraper into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kwame Zhang· Sep 9, 2024
Strong directory entry: Playwright Scraper surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dev Malhotra· Sep 9, 2024
Useful MCP listing: Playwright Scraper is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Soo Gonzalez· Sep 5, 2024
We wired Playwright Scraper into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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