Funding Announcement to Lead List (TechCrunch)

Detail

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.

What Does BrowserAct TechCrunch Scraper Do?

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.

What Data Can I Extract from TechCrunch?

With BrowserAct's TechCrunch Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:

TechCrunch Articles & Features

Article titles
Summaries and excerpts
Authors and contributors
Publication dates
Categories and tags
URLs and links
Related articles and search results

Key Features of TechCrunch Scraper

Customizable Parameters: Adjust extraction scope to match your research needs
Flexible Selection: Set max items for bulk extraction across multiple pages
Comprehensive Data Capture: Extracts complete article profiles with all metadata
Structured Output: Preserves data relationships for easy analysis
Multi-Page Support: Compatible with article listings, category pages, and search results
Automation-Ready: Seamlessly integrates with Make.com and other platforms

How to Scrape TechCrunch

Quick Start Guide: How to Use TechCrunch Scraper in One Click

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.

Register Account: Create a free BrowserAct account using your email
Configure Parameters: Fill in necessary inputs like Target_url (e.g., "https://techcrunch.com/?s=example") – or use defaults to learn how to scrape TechCrunch quickly
Start Execution: Click "Start" to run the workflow
Download Data: Once complete, download the results file from TechCrunch scraping

How to Build a TechCrunch Scraper Workflow: Step by Step

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.

Determine Your Scope

Decide the number of results to extract (e.g., 50 results with complete details). Adjust parameters based on your research needs.

Start Node Parameter Settings

TechCrunch_url: Enter your TechCrunch link (e.g., https://techcrunch.com/?s=)

Note: Customize based on needs—works with article listings, category pages, or search results.

Visit Page

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

Add Extract Data

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.

Output Data

Export in JSON, CSV, XML, or Excel formats.

Key Benefits of TechCrunch Scraper

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.

Who Can Use TechCrunch Scraper?

TechCrunch Scraper is designed for anyone needing quick, reliable access to TechCrunch data. It's ideal for a variety of users, including:

Researchers & Analysts: Find the perfect articles and trends for your studies
Marketers & SEO Specialists: Analyze market opportunities and identify gaps in the news ecosystem
Developers & Content Creators: Conduct competitive analysis and track content strategies
Digital Agencies: Manage client recommendations with comprehensive news data
Market Researchers & Analysts: Extract data for trend analysis and market intelligence
Product Managers: Gather insights on features, topics, and user satisfaction
Small Businesses & Startups: Conduct affordable competitive research without needing advanced technical skills
Academics & Students: Research tech trends and information ecosystems

No matter your background, if you're looking to scrape TechCrunch without hassle, this tool is accessible and effective for both individuals and teams.

Use Cases for TechCrunch Scraper

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.

Make.com Integration

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

Ready to Transform Your TechCrunch Data Collection?

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.