With TechCrunch’s tech news & startup search section—part of the world’s leading technology news and startup coverage platform—booming, are you wasting countless hours manually collecting tech information such as news headlines, publication timestamps, author details, core summaries, featured companies/products, funding data, industry categories, relevant tags, and read/interaction metrics? Faced with TechCrunch’s massive repository of tech content, spanning thousands of tech news articles, startup updates, and industry analyses, paginated search results and multi-dimensional topic categorizations, efficiently acquiring structured news data to accurately track industry trends for tech professionals or identify investment opportunities for venture capitalists has become a common challenge for many tech journalists, venture capitalists, industry analysts, tech enterprise professionals, and market research teams. Say goodbye to tedious manual copy-and-paste and page-by-page recording of news details or startup updates. BrowserAct will revolutionize the way you access TechCrunch’s tech news and startup data.

What is BrowserAct Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key tech news and startup data from TechCrunch’s massive repository of content, including news articles, startup updates, funding announcements, and industry analyses. What can it do for you?

• TechCrunch Tech & Startup Data Scraping: Our TechCrunch crawler can intelligently identify and extract core platform data from the platform. This includes news headlines (e.g., “AI Startup Secures $50M Series B Funding,” “Tech Giant Launches Next-Gen Cloud Service”), publication timestamps, author details, core summaries, featured companies/products (e.g., “OpenAI,” “Tesla Cybertruck”), funding data (amount, round, investors), industry categories (e.g., AI, fintech, cleantech), relevant tags, and read/interaction metrics. It covers all critical information needed to track tech industry dynamics on TechCrunch.
• AI-Powered Field Suggestions: Using AI to intelligently identify the structure of TechCrunch pages, such as news listing pages, article detail pages, and startup pages, it quickly suggests and extracts key fields like "news headline, publication time, funding amount, featured company, industry category". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
• Ideal Users: Suitable for tech journalists, venture capitalists, industry analysts, tech enterprise professionals, and market research teams. It helps you obtain structured TechCrunch data to drive decisions—like identifying investment opportunities and optimizing industry trend reports—or meet practical needs, such as tracking competitor developments, compiling funding landscapes and aggregating targeted tech news.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

Target_url
KeyWord
Pages
Location

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://techcrunch.com/?s=. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

• • for each article extract and add the url to "Url" and the full article text to "Article"

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.