BuiltIn Jobs Scraper

Pull tech job listings from BuiltIn.com at scale — titles, structured salary bands, company profiles, required skills, posted dates, apply links, and full job descriptions for every role on the board. Built for technical recruiters, sales teams prospecting tech companies, compensation analysts, and talent sourcers who need fresh tech-hiring data without babysitting paginated search results.

Why This Scraper?

• All 20 BuiltIn job categories covered — AI & Machine Learning, Engineering, Data & Analytics, Cybersecurity, Design, Product Management, Sales, Marketing, Finance, HR & Recruiting, Legal, Healthcare Services, Manufacturing & Production, Operations & Support, Program & Project Management, Research, Consulting, Defense & Field Operations, Customer Success, and Supply Chain & Procurement.
• Structured salary fields, not blobs — salaryMin, salaryMax, salaryCurrency, and salaryPeriod are parsed from every listing that publishes pay (e.g. 209000, 239000, USD, year) — not a raw "$209K–$239K Annually" string.
• Top Skills array on every card — skills: ["Python", "AWS", "Kubernetes"] extracted from BuiltIn's card-level skills strip plus the "Skills Required" section on the detail page.
• Six experience tiers, exact-match — Internship, Entry Level (0–1 yrs), Junior (1–2 yrs), Mid Level (2–5 yrs), Senior Level (5–9 yrs), and Expert / Leader (9+ yrs).
• Four workplace modes — Any, Remote only, Hybrid, or On-site only — applied as a path filter so multi-location and "Remote or Hybrid" cards are classified correctly.
• Posted-date filter at 1 / 3 / 7 / 30 days, with an ISO postedDate (e.g. "2026-05-12") pulled from BuiltIn's tracking payload — far more reliable than the "Reposted N Days Ago" UI string.
• Up to 1,000 results per search keyword or URL, with automatic cross-page deduplication by job ID — no duplicate rows even when the same job appears on multiple search pages.
• Paste any BuiltIn URL directly — a category vertical like /jobs/engineering, a filtered search results page, or a company-jobs page like /company/<slug>/jobs. URL filters are honored verbatim.
• Easy-apply detection and direct apply URLs — easyApply: true/false plus the external applyUrl for every job that posts one off-site.

Use Cases

Tech Recruiting & Talent Sourcing

• Build candidate pipelines by required skill stack (e.g. every Senior role mentioning Kubernetes + Go in Austin)
• Track which companies are hiring for specific titles, week over week
• Identify hiring spikes at competitor companies before they go public
• Source for niche roles like Staff ML Engineer or Principal Security Architect across 20 categories

Sales & Business Development

• Prospect tech companies actively hiring engineers — a high-signal indicator of growth and tooling budget
• Build lead lists segmented by company size, industry tags, and headcount
• Trigger outreach when a target account posts a role for your product's persona (e.g. DevOps tooling vendors targeting "DevOps Engineer" openings)
• Monitor pre-IPO companies expanding their engineering org

Compensation & Market Research

• Benchmark salary bands by role, city, and seniority — every published salaryMin / salaryMax in structured form
• Compare on-site vs. remote pay gaps across Senior and Staff levels
• Track salary inflation in a specific stack (e.g. Rust, Solidity, AI/ML)
• Build city-by-city compensation reports with parsed currency and pay period

Investment & Market Intelligence

• Spot startups scaling their engineering org as an early growth signal
• Track which roles a Series B company is filling before its next raise
• Map the tech stack of a target acquisition from required-skills data
• Quantify hiring velocity across portfolio companies

Candidate Job Hunting

• Pull every remote Senior role posted in the last 7 days into a spreadsheet
• De-duplicate cross-board listings by company + title before applying
• Export apply URLs for one-shot bulk application workflows
• Filter to companies that publish salary up front (just drop rows where salaryMin is null)

Job Board Operators & Aggregators

• Mirror BuiltIn into your own tech-jobs vertical with full salary, skills, and descriptions
• Power "trending skills" or "top hiring companies" dashboards
• Keep an internal listings index fresh with daily incremental pulls (postedWithinDays: "1")

Getting Started

Simplest Run

Just a keyword — runs nationwide with default filters and pulls the first 100 results.

{
    "searchQueries": ["software engineer"]
}

Remote-Only, Last 7 Days

{
    "searchQueries": ["machine learning engineer"],
    "remoteMode": "remote",
    "postedWithinDays": "7",
    "maxResultsPerQuery": 500
}

Location + Category + Seniority

Senior data engineers in Austin posted in the last month.

{
    "searchQueries": ["data engineer"],
    "location": "Austin, TX",
    "category": "data-analytics",
    "experienceLevel": "senior",
    "postedWithinDays": "30",
    "maxResultsPerQuery": 250
}

Direct BuiltIn URLs

Paste any BuiltIn jobs URL — search results, category verticals, or company jobs pages.

{
    "startUrls": [
        "https://builtin.com/jobs/engineering/senior",
        "https://builtin.com/jobs?search=python&city=New%20York&state=NY&country=USA",
        "https://builtin.com/company/stripe/jobs"
    ],
    "maxResultsPerQuery": 200
}

Fast Mode (Cards Only)

Turn off detail enrichment for roughly 3× faster runs when you only need title, company, salary, location, and skills from the card.

{
    "searchQueries": ["devops engineer", "site reliability engineer"],
    "remoteMode": "remote",
    "fetchDescription": false,
    "maxResultsPerQuery": 1000
}

Input Reference

Search & Targeting

Parameter	Type	Default	Description
searchQueries	string[]	["software engineer"]	Job titles or keywords to search for. Each keyword runs a separate search. Up to 50 keywords per run.
location	string	""	City, state, country, or blank for nationwide. Examples: "Austin, TX", "United States", "London, UK". Applies to every keyword in searchQueries.
startUrls	string[]	[]	Paste BuiltIn URLs directly — search results, category verticals (e.g. /jobs/engineering), or company-jobs pages (e.g. /company/<slug>/jobs). Filters in the URL are honored as-is. Up to 50 URLs per run.

Filters

Parameter	Type	Default	Description
remoteMode	select	Any	Workplace type: Any, Remote only, Hybrid, or On-site only.
category	select	Any	One of 20 BuiltIn job categories (Engineering, Data & Analytics, AI & Machine Learning, Design, Product Management, Sales, Marketing, etc.).
experienceLevel	select	Any	Years-of-experience tier: Internship, Entry Level (0–1 yrs), Junior (1–2 yrs), Mid Level (2–5 yrs), Senior Level (5–9 yrs), or Expert / Leader (9+ yrs).
postedWithinDays	select	Any time	Recency filter: Last 24 hours, Last 3 days, Last 7 days, or Last 30 days.

Output Control

Parameter	Type	Default	Description
maxResultsPerQuery	integer	100	Maximum number of jobs to collect per keyword or URL. Hard cap of 1,000. The scraper stops requesting new pages once the cap is reached but keeps the full final page even if it slightly overshoots.
fetchDescription	boolean	true	Fetch the full job description, skills array, and apply URL from each listing's detail page. Turn off for ~3× faster runs — but description, descriptionHtml, skills, and applyUrl will be empty.

Output

One row per job posting. Multi-location jobs surface every city in location and the first parsed city/state/country in the dedicated fields.

{
    "jobId": "847291",
    "title": "Senior Software Engineer, Platform",
    "jobUrl": "https://builtin.com/job/senior-software-engineer-platform/847291",
    "company": "Stripe",
    "companyUrl": "https://builtin.com/company/stripe",
    "companyLogoUrl": "https://cdn.builtin.com/cdn-cgi/image/.../stripe-logo.png",
    "companyIndustry": "Fintech • Payments • Software",
    "location": "Austin, TX, USA; Remote",
    "city": "Austin",
    "state": "TX",
    "country": "USA",
    "isRemote": false,
    "workplaceType": "Hybrid",
    "experienceLevel": "5-7 Years Experience",
    "employmentType": "Full-Time",
    "category": ["Information Technology", "Financial Services"],
    "skills": ["Go", "Python", "Kubernetes", "PostgreSQL", "AWS"],
    "salaryText": "180K-240K Annually",
    "salaryMin": 180000,
    "salaryMax": 240000,
    "salaryCurrency": "USD",
    "salaryPeriod": "year",
    "description": "Stripe builds economic infrastructure for the internet...",
    "descriptionHtml": "<p>Stripe builds economic infrastructure for the internet...</p>",
    "postedDate": "2026-05-10",
    "easyApply": false,
    "applyUrl": "https://stripe.com/jobs/listing/senior-software-engineer-platform/847291",
    "searchQuery": "software engineer",
    "searchLocation": "Austin, TX",
    "scrapedAt": "2026-05-15T14:30:00Z"
}

Core Job Fields

Field	Type	Description
jobId	string	BuiltIn's unique job identifier
title	string	Job title
jobUrl	string	Direct link to the BuiltIn job posting
category	string[]	Industry / functional tags for the role
employmentType	string	Full-Time, Part-Time, Contract, etc.
postedDate	string	ISO date the job was posted (e.g. "2026-05-10")
scrapedAt	string	ISO timestamp the row was collected

Company

Field	Type	Description
company	string	Company name
companyUrl	string	BuiltIn company profile URL
companyLogoUrl	string	Company logo image URL
companyIndustry	string	Bullet-separated industry tags (e.g. "Fintech • Payments • Software")

Location & Workplace

Field	Type	Description
location	string	Raw location text — semicolon-separated for multi-location jobs
city	string	First parsed city
state	string	First parsed state / region code
country	string	First parsed country (ISO-3 where available)
isRemote	boolean	True when the job is fully remote
workplaceType	string	Normalized to Remote, Hybrid, or On-site
experienceLevel	string	Verbatim experience label from the listing (e.g. "5-7 Years Experience")

Salary, Skills & Description

Field	Type	Description
salaryText	string	Raw salary band as shown on the card
salaryMin	number	Parsed minimum salary
salaryMax	number	Parsed maximum salary
salaryCurrency	string	Currency code (e.g. "USD")
salaryPeriod	string	Pay period — year, hour, or month
skills	string[]	Required skills array (e.g. ["Python", "AWS"])
description	string	Full job description as plain text
descriptionHtml	string	Full job description as HTML

Apply & Search Context

Field	Type	Description
easyApply	boolean	True when BuiltIn's one-click apply is enabled
applyUrl	string	External apply URL (employer's ATS) when published
searchQuery	string	The search keyword that produced this row
searchLocation	string	The location input that produced this row

Tips for Best Results

• Combine keywords and locations in one run — list every variant in searchQueries (e.g. ["software engineer", "backend engineer", "platform engineer"]) with a single location, and the scraper runs each keyword separately and deduplicates by jobId per query.
• Use location: "" + remoteMode: "remote" to capture every fully-remote tech role nationwide — BuiltIn's /jobs/remote segment is the cleanest source of nationwide remote listings.
• Filter to salary-transparent roles — after the run, drop rows where salaryMin is null. BuiltIn publishes pay on roughly half of all listings, and the structured fields make this a one-line filter.
• For daily monitoring, set postedWithinDays: "1" and schedule the actor for a 24-hour cadence — you get only fresh listings without re-paying for yesterday's results.
• Turn off fetchDescription for large keyword sweeps when you only need title + company + salary + skills — runs go about 3× faster because BuiltIn's per-job detail fetch is the slow step.
• Paste a category vertical as a startUrl (e.g. https://builtin.com/jobs/cyber-security) for the cleanest single-category pull — BuiltIn's category URLs already filter out misclassified roles.
• Cap at 1,000 per query — BuiltIn's own pagination ceiling is ~10,000, but results start repeating beyond the first 1,000 unique IDs. Stay under the cap or split into narrower searches by city + seniority.

Pricing

$0.95 per 1,000 results — you only pay for job rows that land in your dataset. No compute, storage, or per-page fees on top.

Results	Estimated Cost
100	$0.10
1,000	$0.95
10,000	$9.50
100,000	$95.00

A "result" is one job row in the output dataset, deduplicated by job ID. Apify platform fees (compute units, storage) follow your plan and are billed separately.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is built for legitimate recruiting, sales prospecting, market research, and job-hunting workflows. Users are responsible for complying with applicable laws and BuiltIn's Terms of Service. Do not use extracted data for spam, harassment, discriminatory hiring practices, or any unlawful purpose. When using contact or hiring data, follow fair-hiring regulations and anti-spam laws (GDPR, CAN-SPAM, CCPA) in your jurisdiction.