Built In Jobs Scraper — Tech & Startup Jobs with Salaries

Built In Jobs Scraper extracts tech and startup job listings from builtin.com: the US job board of venture-backed startups and tech employers, plus its international boards (Germany, India, Brazil, Israel, Italy and more). Search by keyword and city, state or country, narrow the results with the same filters the site offers (fully remote / hybrid / on-site, job category and sub-category, experience level, company industry, company size, posting date, skills), and download a flat dataset as JSON, CSV or Excel. No account, cookie or API key needed.

You pay per job saved. Full job pages are an optional add-on, charged per job enriched.

What each record contains

Board data (every job, event job-result)

• jobId, url, title
• company, companySlug, companyUrl (the company's Built In profile), companyLogo
• location plus the full locations list and locationCount. Jobs posted for 20 places come back with all 20, not just a "20 Locations" label.
• workplaceType as shown on Built In ("Remote", "Hybrid", "In-Office", "Remote or Hybrid"…), with isRemote and isHybrid flags
• experienceLevel (Internship, Entry level, Junior, Mid level, Senior level, Expert/Leader)
• salaryText as posted ("130K-150K Annually", "22-32 Hourly"), parsed into salaryMin, salaryMax and salaryPeriod. salaryCurrency is set to USD only when every location is in the US; otherwise it stays empty unless you turn on details.
• easyApply, industries (company industries), topSkills, and Built In's short AI summary of the role
• postedAt: exact UTC timestamp. The site only shows "Yesterday" or "Reposted 3 Days Ago"; that text is kept in postedText, along with reposted and featured flags.
• searchKeyword, searchLocation, searchUrl, page, positionOnPage, scrapedAt

Job page add-on (includeDetails: true, event job-details)

• description (plain text) and descriptionHtml
• Structured salary from the job's schema data: salaryMin, salaryMax, salaryCurrency, salaryPeriod
• employmentType, jobLocationType, remoteEligibleCountries, hiringRemotelyIn, datePosted, validThrough
• benefits: the employer's perks list, often 20–50 items such as 401(K) matching, parental leave or learning stipend
• requirements: the "Skills Required" bullet list
• earlyApplicant
• Company facts: companyHeadquarters, companyEmployees, companyFoundedYear

The Actor never collects recruiter or poster data. E-mail addresses, phone numbers, personal profile links and named contacts are removed from summaries, requirements and descriptions.

Use cases

• Startup hiring signals for sales and VC research: which companies in fintech, healthtech or AI are hiring, for which roles and in which cities. Company size and industry are filters, not just fields.
• Salary benchmarks: most US postings on Built In carry a pay range because of state pay-transparency laws. Parsed min/max values go straight into a pivot table.
• Remote job feeds and newsletters: fully remote roles by category, refreshed daily with postedWithin: "1".
• Skills demand analysis: count topSkills across thousands of postings per category or metro.
• Recruiting and career tools: alerts for new senior or early-applicant roles at companies of a given size.

How to use

1. Type one or more keywords, or leave the field empty and pick a category instead.
2. Optionally add locations. Each one is resolved with Built In's own location service ("Austin, TX", "Colorado", "Germany", "Bangalore"). With no location, the Actor searches the country field (default USA).
3. Add filters, set maxItems, and turn on includeDetails if you need descriptions, benefits and the structured salary.

Hybrid engineering roles around Austin posted in the last month:

{
  "keywords": ["software engineer"],
  "locations": ["Austin, TX"],
  "searchRadiusMiles": "25",
  "category": "engineering",
  "workplaceTypes": ["hybrid"],
  "postedWithin": "30",
  "maxItems": 200
}

Senior remote data roles at fintech startups with 51–500 people, including job pages:

{
  "category": "data-analytics",
  "subcategories": ["Data Engineering"],
  "workplaceTypes": ["remote"],
  "experienceLevels": ["senior"],
  "industries": ["Fintech"],
  "companySizes": ["51-200", "201-500"],
  "includeDetails": true,
  "maxItems": 100
}

A board URL you already filtered on builtin.com, followed page by page:

{
  "searchUrls": ["https://builtin.com/jobs/remote/data-analytics/data-engineering"],
  "maxItems": 500
}

Output example

A real record from a test run (21 Oct 2026). The description and the lists are shortened here.

{
  "jobId": "11777981",
  "url": "https://builtin.com/job/data-engineer/11777981",
  "title": "Data Engineer",
  "company": "tastytrade/ tastylive/ tastyfx/ tastycrypto",
  "companySlug": "ig-tasty",
  "companyUrl": "https://builtin.com/company/ig-tasty",
  "location": "Chicago, IL, USA",
  "locations": ["Chicago, IL, USA"],
  "locationCount": 1,
  "workplaceType": "Hybrid",
  "isRemote": false,
  "isHybrid": true,
  "experienceLevel": "Mid level",
  "salaryText": "130K-150K Annually",
  "salaryMin": 130000,
  "salaryMax": 150000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "easyApply": true,
  "industries": ["Fintech", "News + Entertainment", "Software", "Financial Services"],
  "topSkills": ["Apache Airflow", "AWS", "Dbt", "Kubernetes", "Python", "Snowflake", "SQL", "Tableau"],
  "summary": "Designs and maintains scalable data pipelines and platform architecture using Python, dbt, Airflow, and Snowflake. ...",
  "postedAt": "2026-10-20T20:53:41Z",
  "postedText": "Yesterday",
  "reposted": false,
  "featured": false,
  "searchKeyword": "data engineer",
  "searchLocation": "USA",
  "page": 1,
  "positionOnPage": 2,
  "description": "Company Name: tastytrade\n\nRole: Data Engineer\n\nLocation: Chicago, IL (Hybrid, 3 days/week) ...",
  "employmentType": "Full-time",
  "remoteEligibleCountries": ["USA"],
  "datePosted": "2026-10-20",
  "validThrough": "2026-11-19T20:53:41.000Z",
  "benefits": ["Offers 401(K)", "Provides 401(K) matching", "Offers pet insurance", "..."],
  "requirements": ["2-5 years of professional data engineering experience", "Production experience with dbt", "..."],
  "earlyApplicant": false,
  "companyHeadquarters": "Chicago, IL",
  "companyEmployees": 265,
  "companyFoundedYear": 2011,
  "scrapedAt": "2026-10-21T01:23:12.759Z"
}

Without includeDetails the record ends at positionOnPage plus scrapedAt.

Pricing

Event	When it is charged
job-result	Each job saved to the dataset (board data)
job-details	Each job enriched with its job page, only when includeDetails is on

You pay per job saved. Duplicates (the same job found by two keywords) are dropped before charging, maxItems is exact, and the run stops cleanly at your spending limit. See the Pricing tab for current prices; paid Apify plans get lower rates.

Compared with other Built In scrapers

This Actor returns every location of multi-city jobs, exact UTC post times, the company-size and industry filters, and company facts. Like any scraper, it covers only what Built In shows publicly. Application links behind Built In's apply flow are not collected.

Need the same flat record for Dice.com too? This Actor is built on our Dice Jobs Scraper and shares its field names (salaryMin / salaryMax / salaryCurrency / salaryPeriod, ISO postedAt, url), so the two datasets can be appended into one US tech-jobs sheet.

Integrations

Schedule daily runs and push new jobs to Google Sheets, Airtable, Slack or a webhook, or connect the Actor to n8n, Make or Zapier. You can start runs and read datasets through the Apify API. AI agents can call the Actor as a tool through the Apify MCP server, for example: "find remote senior data jobs at fintech startups posted this week".

FAQ

Is scraping Built In legal? The Actor reads job ads that Built In publishes openly, without logging in, and keeps no personal data. Check that your use fits Built In's terms and the privacy laws that apply to you. This Actor is independent and not endorsed by Built In.

Do I need a proxy? The default Apify proxy is expected to work. If Built In starts refusing requests, the Actor switches to RESIDENTIAL proxies on its own. SUMMARY in the key-value store shows which route was used.

How many jobs can one search return? Built In paginates up to 1,000 pages. Use several keywords, locations or filters for very large pulls; results are de-duplicated across searches.

Why are some salaries without currency? Card salaries have no currency sign. The Actor only assumes USD when all locations are in the US. Job pages (includeDetails) add the currency when the employer published structured pay data.

What happens with an unknown filter value? Built In silently ignores unknown values, so the Actor checks categories, sub-categories and industries against the site's own lists and stops with the valid options. Unknown locations are skipped with a warning.

Changelog

• 0.1 (October 2026): first release. Keyword, location and country search, every board filter, pasted board URLs, exact maxItems, de-duplication, optional job pages (description, structured salary, benefits, requirements, company facts), automatic RESIDENTIAL fallback, contact redaction.

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En español

Built In Jobs Scraper extrae ofertas de empleo de startups y empresas tecnológicas publicadas en builtin.com, en Estados Unidos y en sus bolsas internacionales. Busca por palabra clave y ciudad, estado o país, y filtra por remoto/híbrido/presencial, categoría, nivel de experiencia, industria, tamaño de empresa, fecha y skills. Cada registro trae empresa, ubicaciones, rango salarial, skills, resumen y fecha exacta de publicación. Con includeDetails suma la descripción completa, el salario estructurado con moneda, los beneficios y los datos de la empresa. Consulta la pestaña Pricing para ver los precios actuales; los planes de pago de Apify tienen tarifas más bajas. No guarda datos de reclutadores.