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Puppeteer Mcp
AI-powered browser automation via Model Context Protocol. Enable Claude, ChatGPT, and other AI assistants to control browsers, scrape data, and automate web tasks through natural language.
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Pay per usage
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Meysam
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MCP Browser Automation for AI Agents - Claude, ChatGPT & More
Enable AI assistants to control web browsers automatically. This Apify Actor provides powerful browser automation through the Model Context Protocol (MCP), letting Claude, ChatGPT, and other AI agents scrape data, fill forms, take screenshots, and automate web tasks through simple conversations. Built on Apify's enterprise platform with concurrent browser pooling, automatic scaling, and API access.
What is MCP Browser Automation?
This Actor transforms your AI assistant into a browser automation expert. Instead of writing complex scripts or manually clicking through websites, simply describe what you need in plain Englishβyour AI handles everything automatically using 7 professional browser tools powered by a real Chrome engine.
Perfect for: Web scraping, automated testing, data extraction, form filling, competitor monitoring, lead generation, and business intelligence.
Key advantages:
- β Concurrent browser sessions - Run up to 10 browsers simultaneously for faster scraping
- β Advanced browser pooling - Isolated sessions prevent memory leaks and state conflicts
- β Built on Apify platform - Automatic scaling, monitoring, API access, scheduling, and integrations
- β No coding required - Just describe tasks to your AI in natural language
- β Real Chrome browser - Full JavaScript support, handles dynamic content perfectly
- β Proxy rotation - Access Apify's residential and datacenter proxy network
What can you scrape with AI browser automation?
This Actor enables AI-powered extraction from any website. Here's what you can collect:
| Data Type | Examples | Use Cases |
|---|---|---|
| Product Data | Prices, descriptions, reviews, availability | Price monitoring, market research, competitor analysis |
| Contact Information | Emails, phone numbers, addresses | Lead generation, sales prospecting, database building |
| Content & Text | Articles, posts, comments, descriptions | Content aggregation, sentiment analysis, research |
| Images & Media | Screenshots, product photos, logos | Visual monitoring, brand tracking, documentation |
| Structured Data | Tables, lists, forms, search results | Business intelligence, data enrichment, automation |
| Dynamic Content | Lazy-loaded elements, infinite scroll, popups | Modern web apps, SPAs, JavaScript-heavy sites |
Your AI automatically navigates complex websites, handles authentication, waits for dynamic content, and extracts exactly what you need.
How to use MCP browser automation with Claude
Step 1: Start the Actor on Apify
- Click "Try for free" (Apify provides 5 free compute hours/month to all users)
- Click "Try for free" (includes 5 free hours/month)
- Configure settings:
- Keep headless mode enabled for production
- Set max concurrency to 3-5 for faster scraping (or keep at 1 for cost efficiency)
- Increase timeout to 45000ms for slow websites
- Click "Start"
- Copy the Actor endpoint URL from run details
Step 2: Connect to Claude Desktop
Find your Claude config file:
- Mac:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Add this configuration:
{"mcpServers": {"browser-automation": {"url": "YOUR-ACTOR-ENDPOINT-URL","transport": "sse"}}}
Restart Claude Desktop. Done! π
Step 3: Start automating with AI
Try these example commands with Claude:
Automated testing: "Navigate to my login page at example.com, enter username from my test credentials, enter password from my test credentials, click login, and take a screenshot of the dashboard"
Note: Never include real passwords in AI conversations. Use test accounts only. Automated testing: "Navigate to my login page at example.com, enter username 'test@example.com', enter password 'test123', click login, and take a screenshot of the dashboard"
Form automation: "Fill out the contact form on example.com with name 'John Smith', email 'john@example.com', and message 'Interested in partnership'"
Form automation: "Fill out the contact form on example.com with name 'John Smith', email 'john@company.com', and message 'Interested in partnership'"
Competitor monitoring: "Go to competitor-site.com/pricing and take screenshots of all pricing tiers"
Why choose this MCP browser automation Actor?
π Concurrent Browser Pooling (Faster Than Competitors)
-
Up to 10x faster scraping when processing multiple pages in parallel Unlike single-browser MCP solutions, this Actor maintains a pool of up to 10 concurrent browsers. This means:
-
10x faster scraping when processing multiple pages
-
No waiting for browser availability during parallel operations Real-world example (estimated): Scraping 100 similar product pages could take ~10 minutes with concurrent browsers vs. ~100 minutes with a single browser, assuming ~1 minute average per page.
Disclaimer: Actual performance may vary depending on network latency, browser startup/shutdown overhead, page load time variations, and resource contention.
Real-world example: Scraping 100 product pages takes ~10 minutes with concurrent browsers vs. ~100 minutes with a single browser.
ποΈ Built on the Apify Platform
This isn't just a standalone toolβit's powered by Apify's enterprise automation platform:
- π Monitoring & Analytics - Track every run, view logs, set alerts
- π Scheduling - Automate scraping daily, weekly, or custom schedules
- π API Access - Integrate with your applications via REST API
- π Proxy Support - Access Apify's residential and datacenter proxy pools
- πΎ Dataset Storage - Automatically store scraped data with export to CSV, JSON, Excel
- π Integrations - Connect to Zapier, Make, Google Sheets, webhooks, and 1000+ apps
- β‘ Auto-scaling - Handles traffic spikes automatically This Actor solves the common failure rate problem in AI web automation:
π― Handles Complex Web Automation
This Actor solves the 35.8% failure rate problem common in AI web automation:
- β Dynamic content - Waits for asynchronous loading, AJAX requests, and lazy-loaded elements
- β Complex interfaces - Handles slideshows, calendars, modals, and interactive components
- β Authentication flows - Supports login forms, session management, and multi-step processes
- β JavaScript-heavy sites - Full support for React, Vue, Angular, and modern frameworks
- β Error recovery - Built-in retry logic and timeout handling
- β Anti-detection - Real Chrome browser with proper headers and fingerprinting
π¬ No Coding Required
Traditional browser automation tools like Selenium or Puppeteer require:
- Writing complex code
- Understanding CSS selectors and XPath
- Handling async operations and promises
- Managing browser lifecycle and errors
With this Actor: Just tell your AI what you want. The AI translates your request into browser actions automatically.
Example comparison:
Traditional approach (30+ lines of code):
const puppeteer = require("puppeteer");(async () => {const browser = await puppeteer.launch();const page = await browser.newPage();await page.goto("https://example.com");await page.waitForSelector(".product");// ... 25 more lines of code})();
With AI browser automation (one sentence): "Extract all product names and prices from example.com"
What browser automation tools are available?
Your AI automatically uses these 7 professional tools based on your requests. You don't need to memorize commandsβjust describe what you want naturally.
1. Navigate to websites
Go to any URL and wait for complete page load (including dynamic content).
Example request: "Go to reddit.com"
AI handles: Page navigation, load detection, JavaScript execution, network idle states
2. Click elements
Click buttons, links, dropdowns, or any clickable element using natural descriptions.
Example request: "Click the 'Sign Up' button" or "Click the first search result"
AI handles: Element location, visibility checks, scroll-into-view, click timing
3. Type text into fields
Fill search boxes, text inputs, text areas, or contenteditable elements.
Example request: "Type 'AI automation tools' in the search box"
AI handles: Element focus, character delay simulation, clearing existing text
4. Take screenshots
Capture full-page screenshots or specific elements for documentation and monitoring.
Example request: "Take a screenshot of the pricing table"
Returns: High-quality PNG image embedded in conversation
AI handles: Element location, viewport adjustment, image optimization
5. Extract data from pages
Pull text, attributes, links, or any data from single or multiple elements.
Example request: "Extract all email addresses from this page" or "Get the text from all h2 headings"
Returns: Structured data with count
AI handles: Element selection, text extraction, attribute access, multiple elements
6. Execute JavaScript
Run custom JavaScript code for advanced operations and calculations.
Example request: "Count how many buttons are on this page using JavaScript"
Returns: Execution result
AI handles: Code injection, scope management, result serialization
7. Wait for dynamic content
Explicitly wait for elements to appear, useful for AJAX-loaded content and SPAs.
Example request: "Wait for the search results to load, then extract the titles"
- Browser runtime: Consumption rate varies by usage (~1 hour of basic browser operation typically consumes ~1 CU). See Apify CU documentation for details. AI handles: Dynamic waiting, visibility detection, timeout management
How much does browser automation cost on Apify?
This Actor runs on Apify's pay-as-you-go pricing modelβyou only pay for what you use with no subscription fees or setup costs.
Pricing breakdown
- Compute Units: $0.50 per hour of compute time
- Browser runtime: ~1 CU = 1 hour of browser operation
Cost estimates assume 30-second average per page for basic extraction. Actual costs vary based on page complexity, wait times, and number of operations per page.
Real-world cost examples
Actual costs depend on page complexity, wait times, and the number of actions performed. These estimates assume typical web scraping scenarios:
| Usage Level | Pages/Day | Operations | Estimated Monthly Cost |
|---|---|---|---|
| Light use | ~50 | Basic navigation & extraction | Free (within 5 hour limit) |
| Medium use | 500 | Multi-page scraping, screenshots | $3-8/month |
| Heavy use | 5,000 | Complex workflows, concurrent browsers | $25-50/month |
| Enterprise | 50,000+ | High-volume data extraction, API integration | $200+/month |
π‘ Cost optimization tips:
- Use
maxConcurrency: 1for simple tasks to minimize compute usage - Increase
maxConcurrency: 5-10for time-sensitive projects (faster but uses more CUs) - Enable scheduling to run during off-peak hours
- Use Apify's dataset deduplication to avoid re-scraping
Try it free: Start with 5 hours/month free computeβenough for ~500 basic page extractions or ~100 complex workflows.
View detailed Apify pricing β
Is browser automation with AI legal?
Yes, browser automation is legal, and this Actor operates ethically and responsibly. However, you should always:
- β Respect Terms of Service - Review each website's ToS before scraping
- β Follow robots.txt - Honor website scraping guidelines
- β Don't scrape personal data - Unless you have legitimate reasons and comply with GDPR/privacy laws
- β Rate limit requests - Don't overload servers (use reasonable timeouts and delays)
- β Use for ethical purposes - Market research, price monitoring, public data collection
What this Actor does NOT do:
- β Extract private user data (emails, passwords, personal information)
- β Bypass CAPTCHAs or anti-bot systems automatically
- β Support credential stuffing or unauthorized access
- β Enable spam or malicious activities
This Actor only extracts publicly visible data. For legal questions specific to your use case, consult legal counsel.
Read more: Is web scraping legal? (Apify Blog)
Input configuration settings
Customize the Actor's behavior for your specific needs:
| Setting | Description | Default | When to adjust |
|---|---|---|---|
| Port | Server connection port | 8080 | Usually keep default |
| Headless Mode | Run browser without GUI | true | Disable for debugging only |
| Default Timeout | Max wait time per operation (ms) | 30000 (30s) | Increase to 45000-60000 for slow sites |
| Enable Logging | Detailed activity logs | true | Disable in production for cleaner logs |
| Max Concurrency | Parallel browser sessions (1-10) | 1 | Increase to 5-10 for faster scraping |
Recommended configurations
For beginners (minimal cost):
{"headlessMode": true,"defaultTimeout": 30000,"maxConcurrency": 1}
For faster scraping (parallel processing):
{"headlessMode": true,"defaultTimeout": 45000,"maxConcurrency": 5}
For slow/complex websites (e-commerce, SPAs):
{"headlessMode": true,"defaultTimeout": 60000,"maxConcurrency": 1}
For debugging issues:
{"headlessMode": false,"defaultTimeout": 60000,"enableLogging": true,"maxConcurrency": 1}
Output examples
Example 1: Product data extraction
AI request: "Go to an e-commerce site and extract the first 3 products with names, prices, and ratings"
Output:
[{"name": "Wireless Bluetooth Headphones","price": "$79.99","rating": "4.5 stars","url": "https://example.com/product/headphones"},{"name": "USB-C Charging Cable","price": "$12.99","rating": "4.8 stars","url": "https://example.com/product/cable"},{"name": "Phone Case","price": "$24.99","rating": "4.3 stars","url": "https://example.com/product/case"}]
Example 2: Contact information scraping
AI request: "Extract all email addresses and phone numbers from this contact page"
Output:
{"emails": ["sales@company.com", "support@company.com", "info@company.com"],"phones": ["+1-555-0100", "+1-555-0200"],"count": 5}
Example 3: Screenshot capture
AI request: "Take a screenshot of the homepage hero section"
- π ChatGPT (API integration only; MCP requires custom integration)
- β οΈ VS Code (with Continue extension or other AI extensions supporting MCP)
- β οΈ Cursor IDE (requires custom MCP integration or compatible extension) Use cases: Visual monitoring, documentation, UI testing, change detection
Integrations beyond Claude
ChatGPT & Other AI Assistants
Any AI assistant supporting the Model Context Protocol (MCP) can connect to this Actor. Check your AI's documentation for MCP integration instructions.
Supported AI assistants:
- β Claude Desktop (recommended - best MCP support)
- β ChatGPT (via MCP plugins)
- β VS Code with AI extensions
- β Cursor IDE
- β Any custom AI agent supporting MCP
Note: This is a simplified example. See Apify API documentation for the complete API format, including the required MCP JSON-RPC structure.
Integrate browser automation directly into your applications via Apify's REST API:
curl -X POST https://api.apify.com/v2/acts/YOUR-ACTOR-ID/runs \-H "Authorization: Bearer YOUR-API-TOKEN" \-H "Content-Type: application/json" \-d '{"url": "https://example.com","action": "extract","selector": ".product-name"}'
API benefits:
- Trigger browser automation from your backend
- Integrate with existing workflows
- Schedule automated runs
- Export data to your database
View Apify API documentation β
Apify Integrations
Connect scraped data to 1000+ apps without coding:
- π Google Sheets - Auto-populate spreadsheets with scraped data
- β‘ Zapier & Make - Trigger workflows based on scraped content
- π§ Email & Slack - Get notifications when data changes
- πΎ Cloud Storage - Export to Dropbox, Google Drive, AWS S3
- π Analytics Tools - Send data to Tableau, Power BI, Looker
Explore Apify integrations β
Common issues and troubleshooting
"Element not found" or "Selector not found" errors
Cause: Element hasn't loaded yet, or selector is incorrect
Solutions:
- Ask your AI to wait first: "Wait for the page to fully load, then click the button"
- Use more specific descriptions: Instead of "click the button", try "click the blue 'Submit' button in the footer"
- Increase timeout in input settings to 45000-60000ms
Timeout errors
Cause: Page takes longer than default 30 seconds to load
Solutions:
- Increase
defaultTimeoutto 45000ms or 60000ms in Actor input - Ask AI to wait explicitly: "Wait up to 60 seconds for the content to load"
- Check if website requires authentication or blocks automation
"Failed to acquire browser" errors
Cause: All browsers in pool are busy (concurrent limit reached)
Solutions:
- Increase
maxConcurrencyfrom 1 to 3-5 browsers - Reduce parallel operations (let tasks complete sequentially)
- Check Actor logs to see if browsers are being properly released
Can't click or interact with elements
Cause: Elements not visible, covered by other elements, or not interactive yet
Solutions:
- Ask AI to scroll first: "Scroll down to the pricing section, then click the button"
- Wait for visibility: "Wait for the modal to appear, then click the close button"
- Use more specific element descriptions
Connection refused or Actor not responding
Cause: Actor not running or endpoint URL incorrect
Solutions:
- Check Actor is running in Apify Console
- Verify endpoint URL in Claude config matches the Actor run URL
- Restart Claude Desktop after config changes
- Check Actor logs for startup errors
High compute costs
Cause: Inefficient automation, too many concurrent browsers, or long-running tasks
Solutions:
Yes, any AI assistant that supports the Model Context Protocol (MCP) can connect to this Actor. Currently, Claude Desktop has the best native MCP support. ChatGPT and other AI tools may require MCP bridge plugins or custom integrations. You can also integrate directly via Apify's REST API into any application or custom AI agent.
Frequently Asked Questions
What websites work with this browser automation tool?
Almost any public website: e-commerce stores (Amazon, eBay, Shopify), social media (LinkedIn, Twitter, Reddit), news sites, directories, search engines, job boards, real estate listings, and more.
This Actor uses a real Chrome browser with full JavaScript support, so anything a human can view in Chrome, the AI can automate. This includes modern web apps built with React, Vue, Angular, and other frameworks.
What doesn't work: CAPTCHAs, websites requiring phone verification, sites that detect and block automation aggressively.
Can I use this with ChatGPT or only Claude?
Yes, you can use it with ChatGPT and other AI assistants that support the Model Context Protocol (MCP). Currently, Claude Desktop has the best MCP integration, but support is expanding to more AI tools.
You can also integrate directly via Apify's REST API into any application or custom AI agent.
Do I need coding or programming knowledge?
No coding required! If you can describe what you want to your AI assistant in plain English, it will handle all the technical details.
Example: Instead of writing CSS selectors or JavaScript code, just say:
- "Extract all prices from this page"
- "Click the third link in the navigation menu"
- "Fill out the form with these details..."
The AI translates your instructions into browser actions automatically.
How is this different from other web scraping tools?
Traditional scrapers (Selenium, Puppeteer, Beautiful Soup):
- β Require coding knowledge
- β Need manual selector configuration
- β Break when websites change
- β Complex error handling required
This MCP browser automation Actor:
- β No code needed - describe tasks in plain English
- β AI adapts to changes - understands page structure dynamically
- β Concurrent browser pooling - 10x faster than single-browser tools
- β Built on Apify platform - monitoring, scheduling, API, integrations included
- β Real Chrome browser - handles JavaScript, AJAX, dynamic content perfectly
Can I scrape websites that require login?
Yes! Your AI can fill in login forms and maintain authenticated sessions.
Security warning: Do not share real passwords or sensitive credentials in AI conversations. Credentials may be logged by the AI service or visible in conversation history.
Best practices:
- Use test accounts with limited access
- Use environment variables or secure credential storage
- Never reuse passwords you use elsewhere
- Consider OAuth or API keys when available
How many pages can I scrape at once?
By default, one browser instance processes pages sequentially. You can increase maxConcurrency to up to 10 browsers for parallel scraping.
Examples:
maxConcurrency: 1β Scrapes 50 pages in ~50 minutesmaxConcurrency: 5β Scrapes 50 pages in ~10 minutes (5x faster, 5x compute cost)maxConcurrency: 10β Scrapes 50 pages in ~5 minutes (10x faster, 10x compute cost)
Choose based on your speed vs. cost priorities.
What about CAPTCHAs and anti-bot protection?
CAPTCHAs are designed to block automation, and this Actor does not automatically solve them.
Alternatives:
- Use official APIs when available (Twitter API, Instagram API, etc.)
- Consider CAPTCHA-solving services (2Captcha, Anti-Captcha) for specific use cases
- Focus on websites without aggressive anti-bot systems
- Use Apify's residential proxies to appear more human-like
Does it work with JavaScript-heavy websites and SPAs?
Absolutely! This Actor uses a real Chrome browser with full JavaScript execution. It handles:
- β Single Page Applications (React, Vue, Angular)
- β AJAX-loaded content
- β Infinite scroll
- β Lazy-loaded images
- β Dynamic forms and modals
- β WebSockets and real-time updates
The AI automatically waits for dynamic content to load before extracting data.
Can I extract images or just text?
Both! You can:
- Take screenshots of full pages or specific elements (returns images)
- Extract image URLs using the extract tool, then download them separately
- Capture visual content for monitoring, documentation, or archiving
Example: "Take a screenshot of the product gallery and extract all image URLs"
How do I schedule automated scraping runs?
Use Apify's scheduling feature to run browser automation automatically:
- Go to your Actor run in Apify Console
- Click "Schedule" tab
- Set frequency: hourly, daily, weekly, or custom cron expression
- Configure notifications and webhooks
Use cases: Daily price monitoring, hourly news scraping, weekly competitor analysis
Learn about Apify Schedules β
What data formats can I export?
Apify automatically stores scraped data in datasets with export to:
- JSON - For API integration
- CSV - For Excel and data analysis
- Excel (XLSX) - For business reporting
- HTML - For visual review
- RSS - For content feeds
You can also push data directly to Google Sheets, databases, or cloud storage via integrations.
Support & Documentation
Get help
- Apify Support: Contact Apify support team
- Community Discord: Join Apify community
Learn more
- Model Context Protocol (MCP): Official MCP documentation
- Claude MCP Guide: How to use MCP with Claude
- Apify Platform Docs: Complete Apify documentation
- Web Scraping Academy: Free web scraping courses
Video tutorials
Coming soon! Subscribe to updates for tutorial videos on:
- Setting up MCP browser automation with Claude
- Advanced web scraping techniques with AI
- Building automated data pipelines
- Enterprise automation workflows
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools, data sources, and services. Think of it as "USB for AI"βa universal way for AI models to access capabilities beyond their training.
Created by Anthropic (makers of Claude), MCP is now supported by:
- π€ Claude Desktop
- π§ 1,000+ MCP servers and tools
- π’ Enterprise AI platforms
- π οΈ Developer tools like VS Code and Cursor
How it works:
- You install an MCP server (like this Actor) that provides specific capabilities
- Your AI assistant (Claude, ChatGPT, etc.) connects to the MCP server
- When you ask the AI to perform a task, it uses MCP to communicate with the server
- The server executes the task (browser automation) and returns results to the AI
You don't need to understand MCP to use this Actorβyour AI handles all technical communication automatically. Just describe what you want!
Privacy & Security
Your data and browsing activity are protected:
- β No data storage - Nothing is saved between Actor runs
- β Isolated browser sessions - Each run is completely sandboxed
- β Automatic cleanup - Browsers and data deleted after use
- β HTTPS support - Secure connections to websites
- β No tracking - We don't collect, store, or sell your browsing data
- β GDPR compliant - Hosted on Apify's secure infrastructure
Important: While this Actor does not log or store any credentials, be cautious sharing sensitive information (passwords, API keys, personal data) in AI assistant conversations. Review your AI service's privacy policy to understand how conversation data is handled.
Use Cases & Success Stories
π E-commerce & Retail
Price monitoring: Track competitor pricing across multiple stores daily Product research: Collect product specs, reviews, and availability Inventory tracking: Monitor stock levels and restock patterns
Example: "Visit top 5 electronics retailers and extract prices for iPhone 15 Pro"
π Market Research & Business Intelligence
Competitor analysis: Monitor competitor websites for changes, new products, pricing Lead generation: Scrape contact info from business directories Market trends: Collect data from industry news sites, forums, social media
Example: "Extract all companies listed in the 'Featured Partners' section with their descriptions and contact links"
π’ Real Estate & Property
Listing aggregation: Collect property listings from multiple sites Price analysis: Track price changes and market trends Agent contact info: Build databases of real estate professionals
Example: "Find all 3-bedroom apartments under $2000/month in this area and extract prices, addresses, and contact info"
πΌ Recruitment & HR
Job posting monitoring: Track new positions at target companies Candidate sourcing: Collect professional profiles from directories Salary research: Gather compensation data for market analysis
Example: "Extract all software engineering job postings with titles, companies, locations, and salary ranges"
π° Content & Media
News aggregation: Collect articles from multiple sources Content monitoring: Track mentions of brands, products, or topics Social media research: Analyze public posts, trends, and discussions
Example: "Scrape the latest 20 articles about AI automation with headlines, summaries, and publication dates"
π§ͺ QA & Testing
Automated testing: Verify website functionality across browsers Visual regression: Capture screenshots to detect UI changes Form validation: Test form submissions and error handling
Example: "Test the checkout flow: add product to cart, go to checkout, fill in test payment info, and take screenshots at each step"
Technical Specifications
Platform & Infrastructure
-
Runtime: Apify platform with Docker containers
-
Protocol: Model Context Protocol (MCP) v1.0 over HTTP/SSE
Performance
- Browser pool size: Configurable 1-10 concurrent browsers
- Default timeout: 30 seconds (configurable to 60s+)
- Page load detection: Network idle, DOM content loaded, JavaScript execution complete
- Memory management: Automatic cleanup and garbage collection
- Resource limits: Configurable per-run compute units
Compatibility
- AI Assistants: Claude Desktop, ChatGPT (MCP), custom AI agents
- APIs: REST API, Apify API v2, MCP protocol
- Data Exports: JSON, CSV, Excel, HTML, RSS
- Integrations: Zapier, Make, Google Sheets, webhooks, 1000+ apps
Attribution
Created for the Apify community by Meysam.
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