
BrowserAct’s no-code TechCrunch funding scraper grabs article URLs/full text. Set keywords, pages, regions, filter non-targets, export JSON. VCs/analysts get investment leads fast—skip manual work!
Are you spending hours manually collecting TechCrunch article data—titles, summaries, authors, dates, categories, tags, and more? With thousands of articles, news, and information to browse through, finding the right data or conducting research has become incredibly time-consuming for journalists, researchers, marketers, and analysts.
BrowserAct automates the entire process. Extract structured data from TechCrunch in minutes, not hours—no coding required.
Automatically extract comprehensive TechCrunch resource data with our powerful TechCrunch scraper tool. Capture article titles, summaries, authors, publication dates, categories, tags, and links to full articles from any TechCrunch page. Enjoy flexible filtering and output options for comprehensive market analysis—no coding required.
Our TechCrunch scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing monitoring and competitive intelligence tasks.
With BrowserAct's TechCrunch Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:
TechCrunch Articles & Features
If you want to quickly start experiencing scraping TechCrunch, simply use our pre-built "TechCrunch Scraper" template for instant setup and start scraping TechCrunch effortlessly.
TechCrunch Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.
Decide the number of results to extract (e.g., 50 results with complete details). Adjust parameters based on your research needs.
Note: Customize based on needs—works with article listings, category pages, or search results.

In the prompt box, enter / TeachCrunch /Keyword – this will navigate to the target URL.

In the prompt box, enter:
for each article extract and add the url to "Url" and the full article text to "Article"
Note: You can specify the exact location of the data to be collected on the page to increase the accuracy of data extraction.

Export in JSON, CSV, XML, or Excel formats.
TechCrunch Scraper offers a range of advantages that make data extraction simple, efficient, and powerful. Here's why it's a top choice for TechCrunch web scraping:
✅ No Coding Required: Set up and run extractions effortlessly without any programming skills—perfect for beginners and pros alike
✅ Customizable and Flexible: Adjust parameters like item limits, data fields, and target URLs to tailor results to your exact needs
✅ Structured Data Output: Maintains organized data in structured formats (e.g., JSON, CSV, Excel) for easy analysis and integration
✅ Automation Integration: Seamlessly works with Make, n8n, and other platforms for scheduled, hands-off web scraping
✅ Cost-Effective: Start with free trials for small-scale tasks, scaling affordably for larger datasets while respecting TechCrunch's policies
✅ Accurate and Reliable: Handles automatic page loading, uses 'N/A' for missing data, and includes rate limit handling to ensure consistent results
These benefits make TechCrunch Scraper an efficient tool for turning raw TechCrunch data into actionable insights.
TechCrunch Scraper is designed for anyone needing quick, reliable access to TechCrunch data. It's ideal for a variety of users, including:
No matter your background, if you're looking to scrape TechCrunch without hassle, this tool is accessible and effective for both individuals and teams.
TechCrunch Scraper is versatile for various real-world applications. Here are some key ways to use it for extracting and analyzing TechCrunch data:
📊 Market Research: Collect data on articles, trends, and topics for informed decision-making
🔍 Competitive Intelligence: Scrape competitor article details to identify strengths, weaknesses, and market opportunities
💰 Pricing Analysis: Track pricing changes and compare results across similar articles/products
⭐ Quality Assessment: Analyze user ratings and comments to identify top-rated content
🔄 Update Monitoring: Track article update frequencies and content patterns
🛠️ Tool Selection: Build comprehensive comparison databases to select the best resources for your projects
📈 Trend Tracking: Monitor emerging features and popular categories in the TechCrunch ecosystem
🎯 Service Research: Identify reliable sources and assess their portfolios
Whether for one-off projects or ongoing monitoring, TechCrunch Scraper helps transform TechCrunch data into valuable insights.
BrowserAct's TechCrunch Scraper is now available as a native app on Make.com—add it to your scenarios without API hassle.
✅ Automation-Ready: Integrate with Make, n8n, or others for scheduled monitoring
✅ Rate Limit Handling: Built-in delays to comply with TechCrunch policies
✅ Multi-Category Tracking: Run instances for different search categories or queries
💡 Use Case Tip: Ideal for competitive analysis, pricing tracking, and market research with complete search metadata
🚀 Quick Start with Make.com: Search for "BrowserAct" in Make.com's app directory and add it directly—no complex setup
Stop wasting hours on manual data collection. Start scraping TechCrunch articles, news, and solutions in minutes with BrowserAct's AI-powered automation.
Try BrowserAct Free → https://www.browseract.com/
No credit card required. Get started in under 5 minutes.
Start Your Free Trial → https://www.browseract.com/template?page=3
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