TechCrunch Scraper

What does TechCrunch Scraper do?

TechCrunch Scraper extracts articles from TechCrunch, the leading technology and startup news site. It supports two modes: browsing a category (e.g. AI, Startups, Security) or running a search query across the whole site. For every article found, it fetches the full page and extracts the clean article text, title, author(s), category tags, and publish date. Run it on demand, on a schedule via the Apify platform's scheduler, or integrate it into a pipeline through the API — with automatic proxy rotation to keep scraping reliable at scale.

Why use TechCrunch Scraper?

• Media monitoring — track coverage of your company, competitors, or industry as soon as it's published.
• Market and trend research — pull structured data on startups, funding rounds, and technology trends for analysis.
• Content aggregation — feed a newsletter, dashboard, or NLP pipeline with clean, structured tech news.
• Lead generation — identify newly funded startups and the people behind them.

How to use TechCrunch Scraper

1. Click Try for free or Run on the Actor page.
2. Choose a Mode: category to browse a topic (e.g. Artificial Intelligence, Startups) or search to look up a keyword.
3. Fill in the Categories or Search queries field depending on the mode.
4. Set Max articles per category/query (or 0 for no limit).
5. Click Start and wait for the run to finish.
6. Open the Dataset tab to view, filter, and export the results (JSON, CSV, Excel, and more).

Input

Field	Type	Description
mode	string	category or search.
categories	array	TechCrunch category slugs to scrape (used when mode is category), e.g. artificial-intelligence, startups, security.
searchQueries	array	Search terms to look up on techcrunch.com (used when mode is search).
maxItems	integer	Max articles per category/query. 0 = unlimited.
proxyConfiguration	object	Proxy settings for requests to techcrunch.com. Apify Proxy is recommended.

See the Input tab for the full schema and defaults.

Output

Each dataset item represents one article:

{
    "url": "https://techcrunch.com/2026/07/25/librarians-are-hosting-viral-avoiding-ai-workshops/",
    "title": "Librarians are hosting viral 'Avoiding AI' workshops for people who are fed up with Big Tech",
    "authors": ["Amanda Silberling"],
    "categories": ["AI"],
    "publishedAt": "2026-07-25",
    "excerpt": "Librarians across the U.S. are teaching patrons how to opt out of AI features...",
    "content": "\"Everybody's on their phone at my program!\" jokes Charlie Bailey...",
    "sourceType": "category",
    "sourceTerm": "artificial-intelligence"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

Field	Description
url	Canonical article URL
title	Article headline
authors	Byline author name(s)
categories	TechCrunch category tags
publishedAt	Publish date (ISO format)
excerpt	Short summary/dek
content	Full extracted article text
sourceType	category or search
sourceTerm	The category slug or search query that produced this item

How much does it cost to scrape TechCrunch?

Cost scales with the number of articles scraped. A run of a few hundred articles typically uses a small fraction of the free monthly Apify platform credits.

Tips and advanced options

• Lower maxItems for quick previews; raise it (or set 0) for full backfills.
• Combine multiple categories or searchQueries in one run — results for each are pushed to the dataset as they complete.
• Use Apify's Scheduler to run this Actor daily for ongoing monitoring.

FAQ, disclaimers, and support

This Actor scrapes only publicly available pages on techcrunch.com. Use it in accordance with TechCrunch's Terms of Service and applicable laws in your jurisdiction; it is intended for research, monitoring, and archival purposes. Site markup may change over time, which can affect extraction accuracy — please report issues via the Actor's Issues tab. Need a custom version or a different news source? Reach out and we can help build a tailored solution.