Built In Startup Scraper — Tech Stack, Employees, Industries, Jobs

Also known as: Built In scraper · builtin.com scraper · tech stack scraper · startup data · tech company firmographics · BuiltWith alternative · talent-intelligence data · company technographics · B2B company database · company data enrichment.

What does Built In Startup Scraper do?

Built In Startup Scraper extracts structured tech-company profiles from BuiltIn.com — the directory of tech-startup ecosystems across NYC, SF, LA, Chicago, Boston, Austin, Seattle and more — as clean JSON. For any company (by name, slug, URL, or a sector preset) it pulls:

• Tech stack — every technology the company lists (React, Python, Docker, Snowflake, AWS…) — a BuiltWith alternative for the startup segment
• Exact employee count (from Built In's structured data, e.g. Datadog 6,500)
• Industries — Built In's official tag taxonomy
• Headquarters — city, state, country, postal code (structured)
• Founded year, company description, website, logo
• Open jobs — current hiring volume on the profile
• Perks — benefits & culture perks

Output is ready for tech-stack-based sales targeting, competitive intelligence, talent sourcing & recruiting, VC sourcing, and CRM enrichment — with full Apify platform support (API, scheduling, integrations, proxy rotation).

Pay-as-you-go vs paid tech-data tools

	BuiltWith / manual research	This Actor
Tech stack	BuiltWith from ~$295/mo	Included — every tech listed per company
Firmographics + jobs	Separate tools / manual	Same record: HQ, employees, founded, open jobs
Access	Subscription / login	Pay-as-you-go — no login, no contract
Freshness	Periodic	Live — today's Built In profile
Export	Limited	Full JSON, CSV, Excel — yours to keep

Quick start

Open the Actor's Input tab, switch to JSON / Editor, paste one, click Start.

Specific companies — just type names (~$0.004 each)

{ "companyNames": ["Notion", "Datadog", "Asana"] }

A whole sector — curated anchors + Built In's live directory (~$0.40)

{ "preset": "saas", "maxResults": 100 }

Bigger sector sweep (~$2)

{ "preset": "ai-ml", "maxResults": 500 }

How discovery works

• companyNames / companyUrls scrape exactly the companies you give.
• A preset seeds curated anchor companies plus Built In's industry directory pages (e.g. /companies/type/artificial-intelligence, which lists ~180 companies). With Discovery on (default), the Actor harvests those listings and scrapes each company, filtered to the sector by an industry-keyword whitelist so off-sector entries are dropped.
• Every run is live — it reflects today's Built In directory, not a stored snapshot. Maximum companies is always your hard cost cap.

Why use Built In Startup Scraper?

• Tech-stack-based sales targeting — find startups using a given stack (e.g. Snowflake, Salesforce) and prioritize outreach.
• Talent & recruiting — companies + open-job volume + the exact tech they use, for sourcing and ABM personalization.
• Competitive & market intelligence — map a whole tech sector (AI, fintech, gaming) with employee counts and founding years.
• CRM enrichment — refresh tech-company records with current HQ, size and stack.
• LLM context — feed structured startup data into RAG pipelines.

How to use

1. Open the Actor's Input tab.
2. Either type names in Company names, or paste URLs in Company URLs, or pick a sector preset (turn Discovery on to expand via the directory).
3. Set Maximum companies as your cost cap (default 100).
4. Click Start. Download as JSON, CSV, Excel, HTML or XML.

Output

One record per company (Notion, trimmed):

{
  "url": "https://builtin.com/company/notion",
  "name": "Notion",
  "description": "Notion blends your everyday work tools into one...",
  "website": "https://www.notion.so/product",
  "headquarters": "San Francisco, CA, US",
  "headquartersCity": "San Francisco",
  "headquartersState": "CA",
  "headquartersCountry": "US",
  "headquartersPostalCode": "94110",
  "yearFounded": 2016,
  "employees": 1000,
  "industries": ["Artificial Intelligence", "Productivity", "Software"],
  "industriesText": "Artificial Intelligence, Productivity, Software",
  "techStack": ["Golang", "JavaScript", "MySQL", "Python", "Snowflake", "TypeScript"],
  "techStackText": "Golang, JavaScript, MySQL, Python, Snowflake, TypeScript",
  "perks": ["Health Insurance", "Remote Work", "Equity"],
  "openPositions": 9,
  "scrapedAt": "2026-05-22T10:00:00.000Z"
}

You can download the dataset in JSON, CSV, Excel, HTML or XML.

Data table

Field	Description
name / description / website / logo	Company identity
headquarters + headquartersCity / State / Country / PostalCode	HQ as a string + structured parts
yearFounded	Founding year (integer)
employees	Exact employee count (from Built In structured data)
industries[] / industriesText	Industry tags as array + comma-joined string
techStack[] / techStackText	Technologies the company lists (array + joined string)
perks[]	Benefits & culture perks
openPositions	Current open-job count on the profile
scrapedAt	ISO timestamp

Pricing

Pay-per-result: $4 per 1,000 companies (~$0.004 each). Datacenter proxy is sufficient — no residential needed.

• 100 companies ≈ $0.40
• 1,000 companies ≈ $4
• 10,000 companies ≈ $40

Tips

• Type names for a known list, or use a preset to sweep a whole sector.
• Discovery off (presetDepth: 0) scrapes only the curated anchors; on adds the live directory (hundreds per sector).
• Concurrency default 10 is balanced; push 20-30 for bulk runs.
• Schedule with Apify Scheduler to refresh a watchlist.

FAQ, disclaimers & support

Is Built In data publicly accessible? Yes — Built In company profile pages are public. This Actor reads publicly available pages, no login. Always verify your use complies with Built In's Terms of Service.

How accurate is the tech stack? It comes from each company's own Built In profile — accurate when listed, but optional, so smaller/newer companies may list few or none. For runtime tech detection, pair with BuiltWith.

Why are some fields empty? Coverage varies by company; missing fields return null or empty arrays — the Actor returns exactly what the profile exposes, never invented values.

Will a typed name always resolve to the right company? Usually, but a shared name can land on a different Built In company (e.g. monday). Paste the exact URL in companyUrls when in doubt.

Need broader B2B intelligence (revenue, valuation, M&A)? Use the Owler or Craft.co company scrapers instead — Built In is tech-startup focused.

For feedback or a custom solution, open an issue in the Actor's Issues tab.

🔗 foXLabs B2B Intelligence Suite

Three company-intelligence scrapers that work better together — match results by company domain for a 360° view:

Actor	Best for
Owler — Company Data, Revenue, Competitors & Funding	Firmographics, competitors, funding & news
Craft.co — Financials, Valuation & M&A	Revenue/income statements, valuation, acquisitions, executives
Built In — Tech Stack, Employees & Jobs	Tech stack, exact headcount & hiring signals
Indian Company Data	🇮🇳 India: CIN, directors, financials & charges (MCA/Tofler)
Company Data Enrichment	Bulk firmographics by name/domain — industry, HQ, size, revenue
Free Company Lookup	🆓 Quick basics — domain, industry, HQ, logo (start here)

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Keywords / search terms

Built In, builtin.com scraper, tech stack scraper, BuiltWith alternative, startup data, tech company data, company firmographics, employee count, tech company list, B2B data, sales prospecting, talent intelligence, recruiting data, competitive intelligence, VC research, startup directory, CRM enrichment.