BuiltIn Jobs Scraper

Scrape Built In tech jobs by search, city, filters or a pasted URL, with no login: one row per job with the title, company, every location the role is open in, remote or hybrid or on site, seniority, the skills on the card, industries and the exact posted timestamp.

Built In publishes a pay range on about half its listings, because that is how many employers filled one in. Rows without one come back as null rather than a guess.

Input	Search terms, a location, Built In filters, or Built In URLs
Output	One row per job: title, company, locations, workplace type, seniority, skills, the pay range when published, the exact posted time
Ceiling	10,000 jobs per run
Account needed	None, and no API key
Price	$0.81 per 1,000 jobs, flat on every plan. The free plan's $5 a month covers about 6,100

🔍 What Built In Jobs Scraper does

There is nothing to log into and no key to apply for. Search by keyword, narrow by city, category, seniority, working style and how recently a job was posted, or skip the fields entirely and paste URLs.

The URL route takes a single job page, a filtered board view, a city site like builtinnyc.com, or a company's board. Paste it here and you get the company's whole board.

Every search and every URL shares one maxItems, and a job two searches both find is kept once.

📋 What data you get from each Built In job

What you get	Field
Built In's job id, the job page	jobId, jobUrl
Title, company, its Built In page and logo	title, companyName, companySlug, companyUrl, companyLogo
Every location the role is open in	location, locations, locationCount
Remote, hybrid or on site, as a label and as three flags	workplaceType, isRemote, isHybrid, isOnsite
The pay range as Built In prints it, and parsed	salaryText, salaryMin, salaryMax, salaryPeriod
Seniority, industries and the skills on the card	experienceLevel, industries, skills
The exact posted time and Built In's relative label	postedAt, postedLabel
The card's short summary, and whether the job was featured	summary, isFeatured
With full descriptions on: the text, employment type, benefits and closing date	descriptionHtml, descriptionText, employmentType, benefits, validThrough
Where the row came from	searchQuery, searchUrl, page, position, scrapedAt

▶️ How to scrape Built In jobs

1. Open Built In Jobs Scraper and click Try for free.
2. Type one or more terms into Search terms, or paste Built In pages into Built In URLs.
3. Set Location, Job category, Experience level and Posted within if you want them.
4. Set Maximum jobs. Start around 50 to see the output shape, then click Start.
5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

Run it with nothing filled in and you get one labelled sample row, free.

💰 How much does it cost to scrape Built In jobs?

$0.81 per 1,000 jobs. Flat on every Apify plan, no volume tiers. On the free plan, the $5 Apify gives you each month covers about 6,100 jobs.

You pay per job row delivered. The sample row and diagnostic rows carry no job charge, and a search that matches nothing writes a free diagnostic row instead of jobs. Turning on the full job description costs nothing extra per job.

📥 What you give it

{
  "searchQueries": ["data engineer", "product manager"],
  "location": "Austin, TX",
  "remotePreference": "remote",
  "maxItems": 200
}

Field	Default	What it is
searchQueries	none, the box starts with data engineer	Job titles or keywords, one per line. Leave it empty if you only want the filters, or only the URLs.
location	none	Plain text: Austin, TX, New York, Chicago. Resolved through Built In's own location lookup. Empty searches every location.
searchRadius	Built In's own	5mi, 10mi, 25mi, 50mi or 100mi around that location. Ignored when no location is set.
remotePreference	any	remote, hybrid or office. Any still tells you which each job is.
category	any	Built In's own categories: engineering, data-analytics, product, designer, sales, marketing and the rest.
experienceLevel	any	internship, entry-level, junior, mid-level, senior, expert-leader.
postedWithinDays	any time	1, 3, 7 or 30.
maxItems	50	Hard cap on rows across every search and URL, 1 to 10,000.
startUrls	none	Built In pages pasted directly. See the table below.
includeJobDescription	off	Opens each job's own page for the full text, employment type, benefits and closing date.
proxyConfiguration	none	Optional. Only touch it if the run has to leave through your own servers.

URLs you can paste into startUrls:

URL	What comes back
https://builtin.com/job/lead-data-engineer/10586279	That one job, with the full description
https://builtin.com/jobs?search=product+manager	Everything that search returns
https://builtin.com/jobs/remote/engineering	Every remote engineering role
https://builtin.com/company/crowdstrike/jobs	One company's whole board
https://builtinnyc.com/jobs	A city site's board

If location does not resolve, the run stops there. It writes one row saying so and does no further work, even when you also gave startUrls. Use a plain City, ST or City, Country spelling, or leave the field empty.

includeJobDescription holds the run's rows until the last description arrives. One extra request per job, so a very large maxItems on that path asks a lot of the run. Keep it to a few hundred at a time. The price per job does not change.

📤 What you get back

A real row from a run on 20 September 2026, with the logo URL trimmed:

{
  "jobId": "11269166",
  "title": "Data Engineer 4",
  "companyName": "Comcast",
  "companySlug": "comcast-3",
  "companyUrl": "https://builtin.com/company/comcast-3",
  "companyLogo": "https://static.builtin.com/cdn-cgi/image/f=auto,fit=scale-down,w=128,h=128/...",
  "jobUrl": "https://builtin.com/job/data-engineer-4/11269166",
  "location": "Chennai, Tamil Nadu, IND",
  "locations": ["Chennai, Tamil Nadu, IND"],
  "locationCount": 1,
  "workplaceType": "Hybrid",
  "isRemote": false,
  "isHybrid": true,
  "isOnsite": false,
  "salaryText": null,
  "salaryMin": null,
  "salaryMax": null,
  "salaryPeriod": null,
  "experienceLevel": "Senior level",
  "postedAt": "2026-09-20T03:29:01.000Z",
  "postedLabel": "3 Hours Ago",
  "isFeatured": false,
  "industries": ["Digital Media", "Information Technology", "News + Entertainment"],
  "skills": ["APIs", "Databricks", "Kubernetes", "Teradata"],
  "summary": "Develop and maintain advanced data structures, ingestion frameworks, pipelines, and quality controls across structured and unstructured data environments...",
  "employmentType": null,
  "validThrough": null,
  "benefits": [],
  "descriptionHtml": null,
  "descriptionText": null,
  "searchQuery": "data engineer",
  "searchUrl": "https://builtin.com/jobs?search=data+engineer&allLocations=true",
  "page": 1,
  "position": 1,
  "scrapedAt": "2026-09-20T07:02:01.834Z"
}

Field	How to read it
jobId	Stable. Use it as your dedupe key across runs.
salaryText	Built In's own wording, like 195K-320K Annually, with salaryMin, salaryMax and salaryPeriod parsed out of it. All four are null when the employer published no range.
locations, locationCount	Every location the role is open in. location holds the first.
workplaceType	Built In's label: Remote, Hybrid, In-Office, Remote or Hybrid, In-Office or Remote. The three flags next to it say the same thing in a form you can filter on.
postedAt	The exact publish timestamp. Falls back to the relative label on the rare page that omits it.
skills, summary	Come from the board card. Paste a single job URL instead and these two are empty, because that page has no card.
descriptionHtml, descriptionText, employmentType, validThrough, benefits	null or empty unless you switch on includeJobDescription or paste a job URL.

🧾 Reading the output

Three kinds of row can land in your dataset.

Row	How to spot it	Charged
A job	It has a jobId and neither flag below	yes
The sample row	_sample: true	no
A diagnostic	_diagnostic: true and an errorCode	no

A real job row carries no charged field at all, so filter on _sample and _diagnostic being absent.

Code	What it means
BAD_URL	That URL is not a Built In job, board or company page.
COMPANY_NOT_FOUND	The company slug in the URL did not resolve. Check it on builtin.com.
LOCATION_NOT_FOUND	Built In's lookup has no match for that place name.
LOCATION_LOOKUP_FAILED	The lookup itself did not answer. Re-run it.
JOB_NOT_FOUND	Built In removes a job page once the listing closes.
NO_RESULTS	The search ran and matched nothing. Try a broader term or widen the date window.
HTTP_ERROR	Built In was unreachable or answered badly on that request.
TIME_LIMIT	The run stopped just before its time limit. The jobs delivered are kept and charged. Give it more time, or ask for fewer jobs, to get the rest.

One bad URL never stops the others, and a diagnostic row never fails the run. The one exception is a location that will not resolve, which ends the run as described above. A run whose time limit stopped it before any job came back ends as failed too, with the TIME_LIMIT row saying so. With full descriptions on, a job whose description had not been read by then is left out and not charged.

💡 What people use it for

• Watching one city and one category daily with postedWithinDays set to 1, so each run only picks up what is new.
• Pulling a competitor's whole open board by pasting their Built In company URL.
• Building a pay benchmark for a role from the listings that do publish a range, and counting how many do not.
• Tracking which tools keep appearing in skills across a few hundred listings in one category.

🚧 What it does not do

• It does not invent a salary. About half of Built In's listings have no published range, and those rows stay null.
• There is no salary currency. Built In prints 118K-152K Annually for a Toronto job exactly as for a Boston one, so no currency field is emitted rather than assume dollars.
• Mostly US and Canada. That is Built In's own coverage. Company boards carry the occasional Dublin or Singapore role, but Europe and Asia are not the source's strength.
• No recruiter or applicant contact details. Built In does not publish them.
• It does not follow the Apply link. jobUrl is the Built In page, not the employer's own system.
• It does not log in, so saved jobs, alerts and anything behind an account are out of reach.
• Paging has a floor. Built In stops issuing pages on a single board around page 1,000, so one very broad board runs out well before 10,000 rows on some searches. Split by city, category or keyword to go wider.
• It is not an official Built In tool. Dami's Studio is independent and is not affiliated with or endorsed by Built In, or by any other company named on this page.

🧭 Which job scraper do you need?

If you want	Use
US and Canada tech jobs, with skills, seniority and the exact posted time	This one
US tech jobs from Dice, with the apply link	Dice Jobs Scraper
US jobs with the employer's pay kept apart from estimates	ZipRecruiter Scraper
Startup jobs with salary and equity	Wellfound Jobs Scraper
Every open job at companies you name, read from their own hiring system	Career Site Jobs Scraper
Public LinkedIn jobs by keyword and location	LinkedIn Jobs Scraper

❓ Questions people ask

Is there an official Built In API?

This reads public job listings, so there is no key to apply for.

Do I get the salary?

When Built In shows one. That was 723 of 1,455 jobs in a measured sample, and coverage swings hard by search: high on Chicago data roles, low on a nationwide sweep.

Can I get the full job description?

Yes. Set includeJobDescription to on, or paste the job's own URL. Both give you descriptionText and descriptionHtml at no extra charge per job.

Can I scrape one company's jobs?

Paste https://builtin.com/company/<slug>/jobs. You get the employer's full board.

Do the city sites work?

Yes, any of them. builtinnyc.com, builtinchicago.org, builtinaustin.com and the rest. Setting location on builtin.com covers the same ground.

Can I call it from code or connect it to an AI assistant?

Yes. The API tab has ready-made code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/builtin-jobs-scraper. Either way the run happens on your Apify account at the same price.

Is scraping Built In legal?

These are public listings on public pages, read without an account. They still describe real roles at real companies, so have a reason for collecting them and check your own obligations. Apify's write-up on the legality of web scraping is a sensible starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the search or URL you used and the run ID. The errorCode on the diagnostic row usually names the problem on its own.