What this robot does
Built In has become one of the most valuable platforms for tech professionals because it pairs job listings with structured company data across major US tech hubs - Chicago, Austin, New York, San Francisco, Seattle, Boston, Colorado, and Los Angeles. Built In gives you the information to evaluate an employer and understand the role requirements. When you see a job on Built In, you also see the company details, required experience level, employment type, and when the role was posted.
This robot extracts comprehensive job listing data: titles, compensation, company information, location details, experience requirements, employment type, company size, and direct job links. For anyone making a career move in tech, the combination of detailed job data and employer intelligence is what makes Built In unique.
What Built In job and company data extraction provides:
- ✓ Tech jobs with employer context - Built In pairs every listing with company profiles, benefits packages, tech stacks, and culture information that other boards do not include.
- ✓ Salary and benefits visibility: Built In companies frequently share compensation ranges and benefits details. Extract this data for comprehensive total compensation comparison.
- ✓ Tech hub coverage: Built In operates city-specific sites across major US tech markets, providing localized hiring data for Chicago, Austin, NYC, SF, Seattle, Boston, and more.
- ✓ Culture and diversity signals: company profiles include culture values, diversity stats, and employee testimonials. Extract these alongside job data for a complete picture.
| Position | Job Title | Company | Location | Salary |
|---|
| #1 | Senior Frontend Engineer | TechCorp | San Francisco, CA | $160K - $210K |
| #2 | Full Stack Developer | StartupXYZ | Remote | $120K - $150K |
| #3 | DevOps Engineer | CloudSys | Austin, TX | $140K - $190K |
| #4 | Product Manager | InnovateLabs | New York, NY | $130K - $170K |
| #5 | Data Scientist | Analytics Plus | Seattle, WA | $150K - $200K |
How to scrape tech jobs from Built In in 4 steps
No Built In API, no premium membership, and no manual profile browsing. The robot reads Built In's listings and extracts jobs with company context in one pass.
- A free Browse AI account (no credit card required).
- The URL of a Built In job listings page or city-specific board.
1
Sign up for free
Create your Browse AI account in under a minute. No credit card required. You will find this prebuilt robot in the robot library ready to use.
2
Paste the Built In job listings URL
Navigate to Built In's main board or a city-specific site (Built In Chicago, Built In Austin, etc.). Apply filters for role, salary, company size, or tech stack. Copy the URL.
3
Run the robot
Hit run. The robot loads the Built In page and extracts each listing's position, title, company name, salary range, location, job type, experience requirements, company size, job link, and company image.
4
Connect integrations or export your data
Your tech career data is ready. Push to Google Sheets for employer comparison, sync to Airtable for a job research database, or route through Zapier to receive alerts when companies with your preferred culture and stack post new roles.
What can you do with Built In job and company data?
Built In's combination of jobs and employer profiles supports career decisions that go far beyond matching skills to requirements:
- Total compensation comparison: Extract salary ranges and benefits packages from Built In listings. Compare total compensation (base + equity + perks) across companies, not just base salary.
- Tech stack research: Built In profiles list company tech stacks. Extract across dozens of companies to see which technologies dominate your city's market and plan your learning priorities.
- Culture-based job search: Go beyond the job description. Extract company culture data, values, and employee perspectives to find workplaces where you will actually thrive.
- City-level tech market analysis: Compare hiring volume, salaries, and company profiles across Built In's city-specific boards. Decide where to live based on tech market data.
- Employer brand benchmarking: If your company is on Built In, extract competitor profiles to see how they present culture, benefits, and opportunities. Improve your own employer brand accordingly.
- Diversity data analysis: Built In profiles sometimes include diversity metrics. Extract and compare across companies to identify employers with genuine diversity commitments.
💻
Tech professionals evaluating opportunities
Compare roles and employers side by side using Built In data. Salaries, benefits, culture, and tech stacks in one structured dataset.
🏙️
Tech workers considering relocation
Compare tech job markets across Built In cities. Understand salary differences, company density, and culture norms in each hub.
🎨
Employer brand and talent marketing teams
Benchmark your Built In profile against competitors. Understand how top tech companies present their culture, benefits, and stack.
📊
Tech labor market researchers
Analyze the US tech job market by city, role, and compensation level using Built In's employer-rich dataset.
Each Built In job listing yields these structured fields:
| Field | What it contains |
|---|
| Position | The ranking position of the job listing. |
| Job Title | The position title. |
| Job Link | Direct URL to the job listing on Built In. |
| Company | The tech company name. |
| When Posted | The date the job listing was published. |
| Location | Office location or remote designation. |
| Job Type | Employment type (full-time, contract, etc.). |
| Employees | Company headcount or size range. |
| Salary | Compensation range when disclosed. |
| Years Experience | Required or preferred experience level. |
| Company Image | Logo or company thumbnail image. |
Built In is particularly strong for US tech market data. The combination of job listings with detailed employer profiles makes it one of the richest data sources for tech career research available.
Frequently asked questions
What is Built In?
Built In is a tech job platform that pairs listings with detailed company information across major US tech hubs. It operates across Chicago, Austin, New York, San Francisco, Seattle, Boston, Denver/Colorado, and Los Angeles, plus a national board.
Which cities does Built In cover?
Built In has dedicated sites for Chicago, Austin, New York, San Francisco, Seattle, Boston, Denver/Colorado, and Los Angeles, plus a national board.
Does Built In show salary data?
Many Built In listings include salary ranges. The platform encourages transparency and many tech companies comply, especially in states with pay transparency laws.
Can I filter by tech stack?
Yes. Built In allows filtering by technology, company size, industry, and benefits. Apply filters before copying the URL.
Is this Built In scraper free?
Browse AI's free plan includes credits to run this robot at no cost. Create an account without a credit card.
Built In adds employer depth to job listings - combine with volume-focused boards for broader market coverage:
- Y Combinator jobs scraper - Pair Built In company profiles with YC startup listings. See how YC-backed companies present themselves across platforms.
- LinkedIn jobs scraper - Supplement Built In's culture-rich data with LinkedIn's broader professional network listings.
- We Work Remotely scraper - If remote work matters most, combine Built In's company data with We Work Remotely's dedicated remote job board.
Find tech jobs with company culture and salary data
Titles, salaries, benefits, culture - tech career intelligence from Built In.
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