Built In Scraper: US Tech Startup Jobs with Tech Stack Enrichment
Scrape BuiltIn.com US tech startup listings with structured salary (min, max, display text), experience level (Junior, Mid, Senior, Expert), work arrangement (Remote, Hybrid, In-Office), full description in text and HTML, posting date and apply link. Company info covers name, logo, HQ location, employee count, year founded, industries (eCommerce, Fintech, Software) and description. Enable enrichment for company website, tech stack (Golang, React, PostgreSQL, AWS), all office locations and total active openings. $3 per 1,000 jobs.
Anti-Bot
TLS + IP rotation
What you can scrape
- Job details: title, id, full description (text + HTML), experience_level, work_arrangement, posting date, apply URL
- Salary intelligence: salary_min, salary_max, salary_text (e.g. "170K-234K Annually")
- Company basics: name, logo URL, HQ location, employees, year founded, industries, description
- Company enrichment: profile URL, website URL, tech stack (Golang, React, PostgreSQL, AWS), all office locations, total active openings
- Location: city and state (San Francisco, CA / New York, NY)
- Meta: source URL, search query, scraped_at timestamp
Primary use cases
- US tech startup recruiting. Filter by tech stack to match candidates with companies running the same languages and frameworks
- Startup ecosystem intelligence. Track which startups are hiring, in which cities, with what tech stack, week over week
- Salary tools for startup tech. Aggregate salary_min and salary_max by experience level and city to benchmark startup vs. enterprise pay
- Investor and BD lead lists. Use employee count, year founded and total openings as growth-stage signals for fundraising outreach
API example
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~builtin-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchUrls": ["https://builtin.com/jobs/dev-engineering"],
"includeCompanyInfo": true,
"maxResults": 200
}'
Integrations
- n8n, Make, Zapier: trigger runs and process job records via webhook
- AI Agents (MCP): Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
- Python, Node.js: Apify SDK for programmatic access
- Google Sheets, Airtable: queries in, structured jobs out
Output fields
| Field | Type | Example |
|---|
| title | string | Senior Backend Engineer |
| company | string | Plaid |
| location | string | San Francisco, CA |
| salary_min | integer | 170000 |
| salary_max | integer | 234000 |
| experience_level | string | Senior |
| work_arrangement | string | Hybrid |
| company_industries | string[] | ["Fintech","Software"] |
| tech_stack | string[] | ["Golang","React","PostgreSQL"] |
| year_founded | integer | 2013 |
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