Techstars Scraper | Fast & Reliable | $7 / 1K

Pricing

$6.99 / 1,000 results

Try for free

Go to Apify Store

Techstars Scraper | Fast & Reliable | $7 / 1K

Try for free

Developed by

Fatih Tahta

Maintained by Community

Capture every Techstars startup in seconds. Target the full list or narrow by industry/program. Get clean company names, year, tags, links & socials, perfect for lead lists and market mapping. Just $7 per 1,000 records.

5.0 (1)

Pricing

$6.99 / 1,000 results

Last modified

23 days ago

Lead generation

Automation

Developer tools

Techstars Portfolio Scraper

Instantly turn the entire Techstars portfolio (or any filtered slice of it) into clean, structured data for your prospecting, research, or investment scouting pipelines.

Why you’ll love it

Benefit	What it means for you
All the data in minutes	Fetch thousands of startups without scrolling manually.
Built-in filters	Point the actor at any Techstars industry, program, or keyword view.
Rich company profiles	Name, location, accelerator batch, program, year, tags, website, logo & social links.
No blockers	Handles cookie pop-ups and lazy loading automatically.
Usage-based pricing	$4 per 1 000 companies—pay only for what you scrape.
One-click export	Download as JSON, CSV or feed it straight into Airtable, CRMs, BI tools, etc.

Quick start

Run the actor in Apify Console.
Accept the default URL (https://www.techstars.com/portfolio) or paste any filtered link, e.g. "https://www.techstars.com/portfolio?industry_vertical=Fintech"
(Optional) Set Max Companies if you only need a sample.
Hit Start. When the run finishes, open the dataset and export.

Input

Field	Type	Default	Required	Notes
startUrl	String	`https://www.techstars.com/portfolio`	✅	Any Techstars portfolio or filtered page.
maxCompanies	Integer	—	❌	Stop after N companies (good for quick tests).

Output example (JSON)

{
"companyName": "Fimble Ltd",
"description": "We give clothes digital identity and create new types of data in fashion.",
"location": "London, United Kingdom",
"portfolioYear": "2024",
"programName": "ABN AMRO & Techstars Future of Finance Accelerator",
"industryTags": ["B2B payments", "Fintech"],
"websiteUrl": "https://fimble.co.uk",
"logoUrl": "http://apimg.techstars.com/.../logo.png",
"linkedInUrl": "https://linkedin.com/company/fimbleuk",
"twitterUrl": null,
"crunchbaseUrl": null
}

Ideal use-cases
	•	Lead generation – build targeted outreach lists of Techstars-backed startups.
	•	Market landscaping – map trends by industry, cohort or geography.
	•	Investment scouting – fast due-diligence on accelerator alumni.
	•	Competitive intel – monitor new entrants and adjacent spaces.

⸻

Tips & tricks
	•	Combine this dataset with Crunchbase or LinkedIn enrichments for deeper insights.
	•	Schedule the actor weekly to capture new cohorts as soon as they’re listed.
	•	Stack it with Apify’s Email Finder actor to automate cold-outreach campaigns.

⸻

Support

Questions, ideas, or hit a snag? Open an issue or ping me in Apify Discord – I respond fast.

Happy scraping! 🚀
Fatih

On this page

Techstars Portfolio Scraper

Share Actor:

Flippa Scraper | All-In-One | $5 / 1K

fatihtahta/flippa-search-scraper

The most reliable Flippa scraper. Extracts detailed business data by keyword, category, or direct URL. Get structured data on price, profit, and age for market research and deal sourcing for just $5 per 1,000 results.

Fatih Tahta

Y Combinator Directory Scraper | Fast & Reliable | $4.5 / 1K

fatihtahta/y-combinator-directory-scraper

Most affordable, enterprise-grade Y Combinator company scraper. Extracts complete startup profiles, including batch, founders, funding status, team size, social links and more for any filtered listing. Cost-effective pay-as-you-go pricing at $4 per 1 000 companies. Updated weekly.

Fatih Tahta

5.0

Techstars Scraper

michael.g/techstars-scraper

Scrape data on Techstars companies from the Techstars portfolio.

Michael G

5.0

Techstars Scraper 🚀📊 - Cheap & monthly

scrapestorm/techstars-scraper---cheap-monthly

Unlock the power of Techstars with automated company data scraping (All-in-one) 🚀📊 Effortlessly collect detailed information on startups and portfolio companies from the Techstars platform. Customize search queries by industry or region for highly targeted insights 🌍 No proxy needed ! ⚡

Storm_Scraper

5.0

✨ Y Combinator Scraper Apify

damilo/y-combinator-scraper-apify

⚡ Scrape Y Combinator’s startup directory with rich data: company info, founders, job postings, batch, team size, social links, and more. Filter by industry, region, or hiring status. Ideal for lead gen, VC scouting, and recruiting. Clean JSON output ready for Airtable, Notion, or Excel.

Imad

5.0

Techstars Portfolio Companies Scraper

scraped/techstars-portfolio-companies-scraper

Scrape all Portfolio Companies from Techstars

scraped

5.0

Product Hunt Scraper | Fast & Reliable | $4 / 1K

fatihtahta/product-hunt-scraper-fast-reliable-4-1k

The most reliable and fast Product Hunt daily launch leaderboard scraper. Extracts the complete leaderboard for featured or all products for just $4 per 1,000 products.

Fatih Tahta

5.0

Bluesky Scraper | All-In-One | $1.8 / 1K

fatihtahta/All-In-One-Bluesky-Scraper

All-in-one Bluesky Scraper. Scrape posts, followers and full comment threads from any search, user, or direct post URL. This enterprise-grade scraper is the fastest in the market and delivers clean and detailed JSON.

Fatih Tahta

5.0

🚀 Y Combinator Scraper - Rental ($10/month) 🚀

deltaspider/y-combinator-scraper

A high-performance web scraper for extracting comprehensive company data from Y Combinator - the world's leading startup accelerator. Whether you're an investor, founder, researcher, or developer, this tool helps you gather detailed data on 5000+ YC-backed companies.

delta spider

Harvard University Scraper

fatihtahta/harvard-university-scraper

Scrapes Harvard University Profiles directory listings with pagination to gather profile URLs, then extracts detailed data; name, email, departments, affiliations, education, honors, bio, and more. Ideal for academic research, lead generation, or structured datasets.

Fatih Tahta

5.0