BuiltIn Scraper

Scrapes US tech & startup job listings from Built In (builtin.com) - the national board plus the NYC, Austin and San Francisco hubs - into clean structured JSON with salary ranges, required skills and remote/hybrid/on-site flags, posting dates, apply URLs and company profiles. A cheap, fast builtin.com jobs API alternative.

Pricing: $0.0009 per job result; optional detail enrichment adds $0.0008 per result.

Main Use Cases

• Tech talent market research - track which US companies are hiring, which hubs (NYC, Austin, SF) are growing and which roles dominate.
• Salary benchmarking - collect disclosed salary ranges per title, level and city to compare offers and compensation trends.
• Startup recruiting - build candidate-ready databases of startup and tech roles with direct apply URLs.
• Remote job databases - monitor the Remote / Hybrid / On-site mix across US tech postings.
• Hiring trend analysis - run weekly to measure posting volume, skills demand and job categories over time.
• Research and AI datasets - feed structured job data to analytics dashboards and AI/LLM applications.

How It Works

Built In server-renders its job board, so the scraper uses a CheerioCrawler over plain HTTP - no browser required. It opens each listing page, extracts every job-card, follows pagination (?page=N) and returns one JSON object per job. No login, no API key and (currently) no Cloudflare Turnstile challenge.

Optional scrapeJobDetails: true fetches each job's detail page and parses the embedded JobPosting JSON-LD for exact salary min/max, employment type, benefits, structured locations and valid-through date.

The actor covers:

• builtin.com - national board
• builtinnyc.com - New York
• builtinaustin.com - Austin
• builtinsf.com - San Francisco

Track Tech Job Market Trends in the US

Run the scraper weekly (or daily) and compare job title, company, salary, skills and remote-flag distributions over time. Because Built In targets startups and tech companies specifically, the dataset stays focused for US tech-labor analysis - unlike general boards that mix in non-tech roles.

Build Startup Recruiting Databases

Each output row includes the company name, company profile URL, salary range, skills, remote flag, locations, posting date and direct apply URL - everything needed to assemble a recruiting or sourcing database without manual copy-paste.

Input

Field	Default	Description
startUrls	builtin.com + 3 hubs	Listing pages to scrape. Add category pages (e.g. https://builtin.com/jobs/artificial-intelligence), location pages (e.g. https://builtin.com/jobs/atlanta) or remote pages (https://builtin.com/jobs/remote)
maxItems	100	Max job listings to scrape. Free users are capped at 10
maxPages	50	Max listing pages per start URL (~20 jobs per page)
scrapeJobDetails	false	Fetch detail pages and parse JobPosting JSON-LD (doubles requests, adds $0.0008 per result)
proxy	off	Apify proxy - enable if the target starts blocking at scale

Output

One JSON object per job listing:

jobId, title, company, companyUrl, companyLogo, postedDate, remoteFlag, locations, salary, level, easyApply, industries, description, skills, applyUrl, sourceUrl, scrapedAt

With scrapeJobDetails: true, detail fields are merged into each row:

detailDescription, employmentType, salaryMin, salaryMax, salaryCurrency, datePosted, validThrough, jobBenefits, jobLocations, directApply, detailUrl

Example Input JSON

{
  "startUrls": [
    { "url": "https://builtin.com/jobs" },
    { "url": "https://www.builtinnyc.com/jobs" },
    { "url": "https://builtin.com/jobs/remote" }
  ],
  "maxItems": 500,
  "maxPages": 50,
  "scrapeJobDetails": true,
  "proxy": { "useApifyProxy": false }
}

Example Output JSON

{
  "jobId": "1256348",
  "title": "Senior Software Engineer",
  "company": "Acme Tech",
  "companyUrl": "https://builtin.com/company/acme-tech",
  "companyLogo": "https://cdn.builtin.com/logos/acme.png",
  "postedDate": "Posted 2 days ago",
  "remoteFlag": "Remote",
  "locations": ["New York, NY"],
  "salary": "$150K-$190K Annually",
  "level": "Senior level",
  "easyApply": true,
  "industries": "Information Technology, Software",
  "description": "We are hiring a senior software engineer to build our platform...",
  "skills": ["Go", "Kubernetes", "PostgreSQL"],
  "applyUrl": "https://builtin.com/job/senior-software-engineer/1256348",
  "sourceUrl": "https://builtin.com/jobs",
  "scrapedAt": "2026-09-19T09:00:00.000Z"
}

Integrations & Scheduling

Run it from the Apify Console, the REST API or any Apify SDK. Schedule it for weekly tech job monitoring - results land in an Apify dataset you can export as JSON, CSV, Excel, XML, or pipe into Google Sheets, Airtable, Zapier, Make, n8n or any BI tool.

Related Actors

• LinkedIn Jobs Scraper - the most popular LinkedIn jobs scraper on the Store
• Indeed Jobs Scraper - fast, pay-per-result Indeed job extraction
• CareerBuilder Scraper - US jobs from CareerBuilder.com with salary ranges
• Jora Scraper - global job search results
• ZipRecruiter Scraper - US job listings from ZipRecruiter

FAQ

Is there an official Built In API?

No. Built In does not offer an open public jobs API, so this Actor is an unofficial, maintained alternative that reads the publicly visible listings on builtin.com.

Can I scrape builtin.com for free?

Yes - free Apify users can run it (capped at 10 items per run). Paid users can raise maxItems up to their plan limits.

Do I need a Built In account or login?

No. All listings are public and server-rendered; no account, API key or login is needed.

What types of jobs are covered?

Tech and startup roles across the national board and the NYC, Austin and SF hubs - software engineering, data science, product, marketing, AI/ML, DevOps and more.

What fields are extracted?

See the Output section: 17 listing fields, plus 11 detail-page fields when scrapeJobDetails is enabled.

Want other job boards?

For LinkedIn, Indeed, CareerBuilder, Jora or ZipRecruiter data, see the Related Actors above.

SEO Keywords

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For AI Agents & LLM Apps

This Actor is designed to be called programmatically by agents and LLM applications:

• Purpose: return structured US tech/startup job listings - title, company, salary, skills, remote flag, locations and apply URL - as clean JSON rows.
• Minimal input: run with no input to scrape all four default hubs, or pass { "startUrls": [...] } to target specific category, city or remote pages.
• Output fields: see the Output section; each row is a flat JSON object ready for analysis or embedding.
• Behavior & cost control: default mode bills $0.0009 per result. Enabling scrapeJobDetails adds a $0.0008 per-result detail charge because it roughly doubles the number of requests. Bound runs with maxItems/maxPages and cap total spend with maxTotalChargeUsd on the run.
• Billing model: PAY-PER-EVENT - $0.0009 per result, $0.0008 per detail.

Legal & Compliance Disclaimer

This Actor is not affiliated with, endorsed by, or sponsored by Built In Inc. It reads only publicly visible job listings from builtin.com. Job postings contain no candidate personal data - at most they expose the employer's apply contact via the apply URL. You are solely responsible for how you use the extracted data and for complying with builtin.com's terms of service and applicable laws in your jurisdiction.