Built In Scraper

Built In Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Built In tech jobs data — salaries, skills, benefits, work mode and the company behind every US tech job.

Built In uses Cloudflare bot protection to stop you from getting its data.

Built In Scraper beats it, so you get the data, and can successfully complete your project.

$1 per 1,000 jobs. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 jobs each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try Built In Scraper free — your first ~5,000 jobs are Free.

What can I get

• 💼 500K+ tech jobs — title, company, location, salary range, work mode, experience level & posting date
• 🔍 Every Built In filter — any city, remote / hybrid, category, experience, industry, company size, skills & date posted
• 📄 Full job details — the whole description, skills required, every benefit, AI summary & apply info
• 🏢 The company behind every job — HQ, headcount, founding year, offices, teams & workplace policy

Why Built In Scraper

Most other Built In scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per job, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

Built In Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Full Built In Job

{
  "id": 11527168,
  "title": "Software Engineer (L5) - Traffic Engineering",
  "link": "https://builtin.com/job/software-engineer-l5-traffic-engineering/11527168",
  "company_name": "Netflix",
  "company_hq": "Los Gatos, CA",
  "company_employees_count": 13212,
  "company_year_founded": 1997,
  "location": "Los Gatos, CA, USA",
  "work_modes": ["in_office"],
  "experience_level": "senior",
  "employment_type": "FULL_TIME",
  "salary": "388K-619K Annually",
  "salary_min": 388000,
  "salary_max": 619000,
  "salary_currency": "USD",
  "summary": "Design, build, and operate scalable traffic-management infrastructure across Netflix cloud and edge environmen…",
  "skills_required": [
    "7+ years of experience crafting complex, scalable distributed data infrastructure",
    "Proficiency in Java, Golang, or Python"
  ],
  "benefits": ["Offers 401(K)", "Offers disability insurance", "Offers life insurance"],
  "posted_at": "2026-10-06",
  "valid_through": "2026-11-05T16:56:58Z"
}

Trimmed for readability. Every row is flat, so it exports cleanly to CSV and Excel.

Get Started with 5,000 Free Jobs

1. Hit Try for Free Button — the input is pre-filled with "software engineer" and "data scientist" searches in San Francisco.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Standard jobs	$1 per 1,000	id, title, company, location(s), salary (text + parsed min/max), work mode, experience level, industries, AI summary, top skills, posting date, easy-apply and early-applicant flags
Detailed jobs	$2 per 1,000	Everything above + full description, skills required, every benefit, benefits highlights, salary currency, employment type, street address, expiry, apply info, and the company's HQ, headcount, founding year, offices, teams, photos and workplace policy

No start fee — you pay only for the rows you get. Control your spend with Max jobs per search: 1,000 jobs ≈ $1.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free jobs, every month.

👉 Scrape your first 5,000 jobs free

FAQ

Which countries can I scrape? The United States by default, plus Built In's 24 other country boards: Canada, the UK, Germany, France, the Netherlands, Spain, India, Australia and more. Pick one in Country.

How many jobs can one search return? Built In shows up to 400 pages per search, 10–25 jobs a page. Set Max jobs per search to what you need, and split very large searches by city or category.

Can I get every job at one company? Yes. Put the company in Companies — netflix, a Built In company link or its ID — and leave the keywords empty.

What does a detailed job cost? $2 per 1,000 rows: $1 for the row plus $1 for the full details. A 10,000-job run with details costs about $20.

Why do job links need the title part? Built In opens a job only by its full link (/job/{title}/{id}), so a bare job ID can't be scraped. Every row carries its link.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/built-in-scraper").call(run_input={
    "searchQueries": ["software engineer"],
    "location": "San Francisco, CA",
    "scrapeJobDetails": True,
    "maxResultsPerSearch": 10,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["company_name"], job["salary"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/built-in-scraper').call({
    companies: ['netflix'],
    workModes: ['remote'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

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• 🏢 Built In Company Scraper — full Built In company profiles: tech stack, every benefit, offices, employee reviews, headcount & open jobs. $1 per 1,000 companies.

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