Techstars Scraper

Pull the entire Techstars accelerator portfolio as clean, structured data — company name, one-line description, headquarters location, industry verticals, accelerator program and cohort year, unicorn/exit/B-Corp status, plus website and social links for every company. Filter to exactly the slice you want by industry, region, program, year, or status. Built for VC analysts, founders, sales teams, and recruiters who need a ready-to-use Techstars dataset without copy-pasting ~5,100 companies off the directory by hand.

Why This Scraper?

• The full ~5,100-company portfolio — every accelerated company from the 2007 through 2026 cohorts in one run, not just the first page of the directory.
• 57 industry verticals to filter on — from Fintech, Healthtech, and Cloudtech & DevOps to Space Tech, Femtech, and Climate Tech, so you can isolate a single thesis in seconds.
• 125 named accelerator programs — target a specific program like Techstars Boulder or Techstars New York City, or pull every cohort across all of them.
• Four investor-grade status flags — filter the portfolio down to $1B+ unicorns, companies with exits (acquired or IPO), certified B Corps, or companies currently in a program.
• Six world regions — Americas, Europe, Middle East, Asia, Africa, and Oceania, with city, state/province, and country broken out on every row.
• Four social profiles per company — LinkedIn, Crunchbase, X (Twitter), and Facebook URLs, normalized and ready for enrichment or outreach.
• Cohort-year filtering from 2007 to 2026 — slice the portfolio to a single graduating class or a multi-year range to track how a vertical evolved.
• Paste-a-URL shortcut — apply any filters on the Techstars website, copy the address-bar URL, and the same filters are reproduced automatically — no manual setup.
• One flat row per company — name, description, location, industries, program, year, status, website, logo, and socials all on a single record, ready for a spreadsheet or CRM.

Use Cases

Venture Capital & Deal Sourcing

• Build a live pipeline of every Techstars company in your investment thesis (e.g. Fintech in Europe)
• Surface the unicorn and exit cohort to benchmark winners and study what graduated alongside them
• Track each year's new accelerator class as a fresh source of seed-stage deal flow
• Map a single program's portfolio to evaluate a specific accelerator's track record

Competitive & Market Intelligence

• Size a vertical by counting active companies across 57 industry categories
• Compare regional concentration of startups across six world regions
• Monitor which industries each cohort year is weighted toward
• Profile a competitor's accelerator peers from the same program and year

Lead Generation & Sales

• Build target account lists filtered by industry, region, and status
• Capture company websites and LinkedIn profiles for outreach and account research
• Segment prospects by accelerator program to personalize messaging

Recruiting & Talent

• Find fast-growing startups in a region that are likely hiring
• Target unicorns and recently exited companies for senior placements
• Build a sourcing list of companies by industry and cohort year

Research & Data Enrichment

• Enrich an existing startup database with Techstars program, year, and status tags
• Power dashboards tracking accelerator outcomes over nearly two decades
• Feed structured company records with social links into analytics pipelines

Getting Started

Scrape the Whole Portfolio

Leave everything empty to pull the full portfolio, capped by Max Results:

{
    "maxResults": 100
}

Filter by Industry and Region

{
    "industries": ["Fintech"],
    "regions": ["Europe"],
    "maxResults": 500
}

Find the Unicorns in a Vertical

{
    "industries": ["Artificial intelligence and machine learning"],
    "status": "unicorn",
    "maxResults": 200
}

Target a Program and Cohort Year

{
    "acceleratorPrograms": ["Techstars Boulder Accelerator"],
    "years": ["2023", "2024"],
    "maxResults": 100
}

Paste a Filtered Portfolio URL

{
    "startUrls": ["https://www.techstars.com/portfolio?industry=Fintech&region=Americas"],
    "maxResults": 1000
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	string[]	[]	One or more techstars.com/portfolio URLs. Apply filters on the website, copy the address-bar URL, and paste it here — the filters are reproduced automatically. Optional.

Filters

Parameter	Type	Default	Description
industries	string[]	[]	Limit to one or more of 57 industry verticals (e.g. Fintech, Healthtech, Cloudtech & DevOps). Empty includes all industries.
regions	string[]	[]	Limit to companies in one or more of six world regions: Americas, Europe, Middle East, Asia, Africa, Oceania. Empty includes all regions.
acceleratorPrograms	select[]	[]	Pick one or more of the 125 Techstars programs from a dropdown (e.g. "Techstars Boulder Accelerator", "Disney Accelerator, powered by Techstars"). Empty includes all programs.
years	string[]	[]	Limit to one or more cohort years (e.g. "2023"). Valid years run 2007–2026. Empty includes all years.
status	select	Any	Filter by status: Any, $1B+ companies (unicorns), In program now, Exits (acquired / IPO), or B Corp.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum companies to return across all URLs and filters. Set to 0 for unlimited. Start with 10–50 to test, then increase.

Output

Each company is returned as a single flat record:

{
    "name": "Sphero",
    "description": "We create amazing connected toys.",
    "location": "Boulder, Colorado, United States",
    "city": "Boulder",
    "stateProvince": "Colorado",
    "country": "United States",
    "region": "Americas",
    "subRegion": "North America",
    "industries": ["Edtech", "Mobile", "Robotics and Drones", "Virtual reality"],
    "acceleratorProgram": "Disney Accelerator, powered by Techstars",
    "acceleratorPrograms": ["Disney Accelerator, powered by Techstars", "Techstars Boulder Accelerator"],
    "acceleratorYear": 2010,
    "status": ["exited"],
    "website": "https://sphero.com",
    "logo": "https://apimg.techstars.com/connect/perks/image_files/535ebff6766fc3d1a0000002/original/W2-W6saw_400x400.jpg",
    "linkedin": "https://linkedin.com/company/1199924",
    "twitter": "https://twitter.com/littleBits",
    "facebook": "https://facebook.com/GoSphero",
    "crunchbase": "https://crunchbase.com/organization/orbotix",
    "companyId": "72a67d8e-aad8-41fb-bf5f-981faa4fa04d",
    "updatedAt": 1782562205
}

Company & Program Fields

Field	Type	Description
name	string	Company name
description	string	One-line company description
industries	string[]	Industry vertical tags
acceleratorProgram	string	Primary Techstars program the company went through
acceleratorPrograms	string[]	All Techstars programs the company participated in
acceleratorYear	number	Cohort year (2007–2026)
status	string[]	Status flags: unicorn, exited, b_corp, and/or in_program
companyId	string	Stable unique identifier for the company
updatedAt	number	Unix timestamp (seconds) of the company's last record update

Location & Links

Field	Type	Description
location	string	Combined city, state/province, and country
city	string	Headquarters city
stateProvince	string	State or province (when available)
country	string	Headquarters country
region	string	World region (Americas, Europe, Middle East, Asia, Africa, Oceania)
subRegion	string	Sub-region (e.g. North America)
website	string	Company website URL
logo	string	Company logo image URL
linkedin	string	Company LinkedIn URL
twitter	string	Company X (Twitter) URL
facebook	string	Company Facebook URL
crunchbase	string	Company Crunchbase URL

Tips for Best Results

• Start small — set maxResults to 10–50 on a first run to confirm the data matches your needs, then scale up to the full portfolio.
• Stack filters to narrow precisely — combine regions, industries, and status: unicorn in one run to get straight to investable, billion-dollar companies in your target market.
• Pick programs from the dropdown — acceleratorPrograms is a select list of all 125 official program names, so you can target a specific accelerator (e.g. "Techstars Boulder Accelerator") without worrying about spelling.
• Use a filtered URL to mirror what you see — set up the exact view you want on the Techstars website, then paste that URL into startUrls to reproduce it without rebuilding filters here.
• Slice by cohort year for trend analysis — pass a multi-year range to years to watch how a vertical's representation shifted from one graduating class to the next.
• Pull socials in bulk for enrichment — every company carries LinkedIn, Crunchbase, X, and Facebook URLs in one pass, making this a one-shot source list for outreach or data enrichment.
• Leave everything empty for a full export — no filters and maxResults: 0 returns the complete portfolio (a safety ceiling still applies).

Pricing

From $2.49 per 1,000 results — a clean, structured Techstars dataset for a fraction of the cost of compiling it by hand. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.30	$0.28	$0.27	$0.25
1,000	$2.95	$2.80	$2.65	$2.49
10,000	$29.50	$28.00	$26.50	$24.90
100,000	$295.00	$280.00	$265.00	$249.00

A "result" is one company row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor extracts publicly available company information from the Techstars portfolio directory for legitimate research, investment analysis, lead generation, and recruiting. You are responsible for complying with applicable laws and Techstars' Terms of Service. Do not use the data for spam, harassment, or any unlawful purpose, and handle any personal data in line with applicable privacy regulations.