TechCrunch Articles Scraper — Search by Keyword

Scrape TechCrunch articles by keyword and extract structured data on titles, URLs, authors, dates, and categories — no API key required. The TechCrunch Article Search Scraper gives developers, analysts, and researchers instant programmatic access to TechCrunch content at scale.

Monitor AI news, track startup funding rounds, research venture capital trends, or build competitive intelligence pipelines — all with a single tool. Pay-per-result pricing means you only pay for the data you actually receive.

What Does TechCrunch Articles Scraper Do?

Search TechCrunch by keyword and extract a clean JSON dataset for every matching article. With one run you get:

• Article identification — post ID, title, and full URL
• Publication metadata — date and ISO 8601 datetime
• Author information — name and profile URL
• Category details — name and category URL
• Search metadata — the keyword that matched and the extraction timestamp

Run one keyword or dozens simultaneously. Each keyword is processed independently with its own result limit, so you scale without complexity.

Why Use TechCrunch Articles Scraper?

Use case	What you can do
Tech News Monitoring	Track AI, startups, cybersecurity, and VC trends in real time
Competitive Intelligence	Monitor competitor coverage, product launches, and press mentions
Content Research	Fuel newsletters, reports, or blog strategies with up-to-date data
Trend Analysis	Spot emerging topics before they peak
Media Monitoring	Alert on brand or product mentions across TechCrunch
SEO Research	Analyze article titles, keywords, and publishing cadence
Academic Research	Collect reproducible datasets for technology and business studies
Data Integration	Feed article data into analytics platforms, CMS tools, or custom pipelines

Apify platform advantages: schedule runs on a cron, trigger via webhooks, connect to Zapier or Make, rotate proxies automatically, and monitor every run from a single dashboard.

How to Scrape TechCrunch Articles by Keyword

1. Open the actor on Apify Console and click Try for free.
2. Enter your keywords — type one per line (e.g., artificial intelligence, startup funding, venture capital).
3. Set a result limit — choose how many articles to return per keyword (1–100,000).
4. Click Start — the actor handles search, pagination, and extraction automatically.
5. Download your data — results appear in the Dataset tab as JSON, CSV, Excel, or HTML.

No coding required. For automation, use the Apify API or SDK examples below.

Input

Configure the actor via the Input tab in Apify Console or pass JSON directly.

{
  "keywords": [
    "artificial intelligence",
    "startup funding",
    "venture capital"
  ],
  "max_results": 100
}

Parameter	Type	Description	Default
keywords	Array of strings	Keywords to search on TechCrunch	Required
max_results	Integer	Maximum articles returned per keyword (1–100,000)	10

Note: max_results applies per keyword. Three keywords at 100 results each = up to 300 total articles.

Output

Results are stored in the Apify Dataset and can be downloaded as JSON, CSV, Excel, or HTML.

[
  {
    "post_id": "3042478",
    "post_title": "Scale AI's former CTO launches AI agent that could solve big data's biggest problem",
    "post_url": "https://techcrunch.com/2025/09/05/scale-ais-former-cto-launches-ai-agent-that-could-solve-big-datas-biggest-problem/",
    "publication_date": "2025-09-05",
    "publication_datetime": "2025-09-05T08:00:00-07:00",
    "category_info": {
      "name": "Startups",
      "url": "https://techcrunch.com/category/startups/"
    },
    "author_info": {
      "name": "Julie Bort",
      "url": "https://techcrunch.com/author/julie-bort/"
    },
    "extraction_date": "2025-12-02",
    "extraction_datetime": "2025-12-02T00:37:44.252918+00:00",
    "search_term": "big data"
  }
]

Output Data Fields

Field	Type	Description
post_id	String	Unique TechCrunch post identifier
post_title	String	Article headline
post_url	String	Full URL to the article
publication_date	String	Publication date (YYYY-MM-DD)
publication_datetime	String	Publication datetime (ISO 8601)
author_info	Object	Author name and profile URL
category_info	Object	Category name and URL
search_term	String	Keyword used to find this article
extraction_date	String	Date the data was collected
extraction_datetime	String	Full timestamp of data collection

How to Integrate via API

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("your-actor-id").call(run_input={
    "keywords": ["artificial intelligence", "startup funding"],
    "max_results": 100
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('your-actor-id').call({
    keywords: ['artificial intelligence', 'startup funding'],
    max_results: 100
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

How Much Does It Cost to Scrape TechCrunch?

This actor uses pay-per-result pricing — you are only charged for articles successfully extracted, not for compute time. Apify offers a free tier that covers a generous number of results each month, making it practical for small research tasks at zero cost.

For larger workloads (thousands of articles per run), costs remain low because the actor uses lightweight HTTP requests rather than a browser. Expect high throughput with minimal compute unit consumption.

Tips for Best Results

• Start small — run 10–20 results per keyword first to verify the data shape before scaling up.
• Use specific keywords — narrow queries like "Series A funding 2025" yield more targeted results than broad terms like "tech".
• Schedule recurring runs — use Apify's built-in scheduler to monitor keywords weekly or daily without manual effort.
• Combine with webhooks — trigger downstream workflows (Slack alerts, Google Sheets updates, CRM entries) automatically when a run completes.
• Use multiple keywords in one run — batching keywords is more efficient than running the actor separately for each term.

TechCrunch API Alternative

TechCrunch does not offer a public API. This scraper fills that gap — it provides structured JSON output, keyword-based search, and full Apify platform integration (scheduling, webhooks, proxy rotation, monitoring) without requiring any official API credentials or authentication.

FAQ

Is scraping TechCrunch legal? Web scraping publicly available data is generally legal in many jurisdictions, but always review TechCrunch's Terms of Service and robots.txt before use. This actor is intended for lawful research, monitoring, and analysis purposes only. Do not use it to scrape personal data or republish copyrighted content without permission.

How many results can I get per keyword? Up to 100,000 results per keyword, depending on the number of matching articles available on TechCrunch.

Does it work with JavaScript-rendered content? Yes. The actor handles TechCrunch's search engine and extracts all relevant article metadata from the response.

Can I run it on a schedule? Yes — use Apify's built-in scheduler to run the actor automatically on any cron schedule (hourly, daily, weekly, etc.).

What happens if an article is missing a field? Missing fields are returned as null rather than omitted, so your downstream schema stays consistent.

Support & Feedback

Found a bug or need a custom feature? Open an issue in the Issues tab on Apify Console. For enterprise needs or custom scraping solutions, reach out through Apify's contact channels.

Credits

Developed and maintained by the DataCach team.