Job Board Scraper & API — LinkedIn, Indeed, Glassdoor + 29 More

A job board scraper and API in one: one search across LinkedIn, Indeed, Glassdoor and 30 more sources, with the employer's own posting attached to every row it can find it for. Full descriptions where the boards withhold them, salaries annualised in USD, 190 technologies read from the text, job category, employment type, years of experience, visa sponsorship and education on every row, duplicates merged across boards, and one hiring profile per company. Rows arrive in waves while the slower boards are still answering.

Software Development Engineer II   Amazon       $143,700–$213,800   Engineering · mid     indeed  +linkedin
Embedded Software Engineer         General Dyn. $115,252–$121,554   Engineering · mid     indeed
Staff Platform Engineer            Stripe       $190,000–$260,000   Engineering · lead    linkedin → greenhouse

What a run costs. $0.005 per job row and $0.005 per company profile, so 1,000 jobs are $5, less on paid plans. The default run below — 57 jobs, every one with a description, 54 with a salary, plus 43 company profiles — costs about $0.50 and finishes in 20 to 40 seconds. Duplicates, empty boards and companies without a public board cost nothing.

Try it in one minute

1. Press Try for free and keep the prefilled input, or paste this:

   { "searchTerms": ["software engineer"], "location": "New York, NY" }
   

2. Press Start. Indeed, LinkedIn and Glassdoor are searched, every company found is looked up on its own job board, and the descriptions LinkedIn and Glassdoor withhold are read from the boards' own job details.
3. Open the Output tab: the Jobs, Companies and Salaries views each show their own columns. Export as JSON, CSV or Excel, or read the dataset from the API.

Measured on the platform, 7 October 2026, build 1.6: 57 jobs, 57 with a description, 54 with a salary, 43 company profiles, $0.50; 20.8 seconds run alone, 38.5 seconds with three runs sharing the proxy.

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What you get

Every job row carries the posting as the board gave it and what the Actor added:

• The posting — title, company, location, direct and board URLs, applyUrl (the employer's own page when found), description with descriptionSource (board, ats, page, linkedin-page, glassdoor-page), posting date and postedDaysAgo, job type, remote flag.
• Salary, three ways — as stated, annualised in its currency, annualised in USD. salarySource says whether it came from the board, the employer's board, the employer's job page or the text of the posting.
• Classification — department, seniority, tech (190 technologies) and techCategories, city, region, country (ISO code), locationType.
• The employer's posting — atsProvider, atsBoardUrl, atsDepartment, atsPostedAt when the company's own board was found.
• Bookkeeping — site and alsoOn (every board the posting appeared on), searchTerm, dedupeKey, firstSeenAt in monitor mode.

Company rows (recordType: company) hold open roles found, boards posted on, the ATS and its total open roles, department and seniority mix, top technologies, salary range in USD, remote share. Notice rows say in plain words why a run returned nothing. The full field list, with types, is on the Output tab and in the dataset schema the Actor ships with.

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Where it reads: 33 sources

Job boards — Indeed (salary and description on every row), LinkedIn (global), Glassdoor (salaries, company ratings), Naukri (India), Bayt (Middle East), BDJobs (Bangladesh). Indeed, LinkedIn and Glassdoor go through Apify's residential proxy because they refuse datacenter addresses; the others go direct.

Free job APIs — Remotive, RemoteOK, Arbeitnow (Europe), Jobicy, Himalayas, Working Nomads, We Work Remotely, the monthly Ask HN: Who is hiring? thread, and Welcome to the Jungle (Europe, 10,000+ postings with salary fields). No key, no proxy. The remote ones join a remote search automatically.

Early-career list — the daily-updated speedyapply/2027-SWE-College-Jobs list of software-engineering internships and new-grad roles: 2,717 roles on 4 October 2026, 238 with a stated salary, every one with a direct apply link. Select collegejobs.

Employers' own boards, 17 platforms — Greenhouse, Ashby, Lever, SmartRecruiters, Rippling, Breezy, Personio, Teamtailor and Pinpoint are found by company name; Workday, Oracle Cloud HCM, SAP SuccessFactors, Phenom career sites, Eightfold career sites, BambooHR and Recruitee from a careers URL (Indeed hands back the Workday URL on most enterprise postings, so those boards get read too); Amazon's careers site by name. Workday is where the large enterprises live: Nvidia's board holds 1,719 roles, Salesforce's 833.

A verified employer list — 1,129 well-known employers' boards on 17 platforms, from Greenhouse and Ashby start-ups to the Workday, Oracle, SuccessFactors, Phenom and Eightfold sites of Lockheed Martin, Capital One, JPMorgan Chase and Nvidia (68,177 open roles on 9 October 2026), that searchEmployerBoards can ask for your terms directly.

Checked and left out, so you know: ZipRecruiter (HTTP 403) and Google Jobs (no data) were dropped from the options in 1.6; Workable, The Muse, Jobvite, iCIMS and Dover refuse plain requests.

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The employer's posting, attached to the board's row

LinkedIn returns a title, a company and a location, and no description. Glassdoor the same. Every scraper built on them either leaves the description empty or pays for a second request per job, which is the request those boards rate-limit.

This Actor fills the gap twice over. For every company a search turns up it finds the company's own board, by name or from the direct URL the aggregator already gave, and attaches the employer's posting: the full description, a direct apply URL, the department as the employer labels it, the real posting date. For rows still without text it reads the board's own job detail, LinkedIn's public job fragment or Glassdoor's detail query, through paced residential sessions. Measured on the default run: 21 of 42 companies had a public board, 13 rows received the employer's posting, and 57 of 57 rows ended with a description (LinkedIn 19 of 19, Glassdoor 20 of 20 from the boards' details).

A company with no public board stays as the aggregator gave it, and descriptionSource tells you which case you have.

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Salaries you can compare

Boards report "$45/hour", "₹12L/year" and "€4,200/month" as bare numbers with an interval and a currency. Every salary here is reported as stated, annualised in its currency (hourly × 2,080, monthly × 12), and annualised in USD; when no exchange rate is available the USD fields are null, never a guess. minSalaryUsd and the per-company range both use the USD figure, so a London role and an Austin role are judged on one scale.

Pay ranges stated in the text. US pay-transparency laws make employers print the range in the description, and the ATS platforms pass that text through without a field. The Actor reads it back out conservatively: a figure counts only when it carries a currency, sits in a plausible band for its interval and either forms a range or stands next to a pay word; years, requisition IDs, percentages, stipends and company finances are rejected. Dot-thousands ("60.000 €"), k-suffixes ("$150–200k") and lakhs ("12–18 LPA") are understood. Measured: 13 of 57 default-run rows gained a range this way; 48 of 50 on a snippet audit. Every run writes SALARY_TEXT_SAMPLE to its key-value store so you can check the extractor's work.

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Deduplicated, located, classified

The same posting appears on LinkedIn, Indeed and Glassdoor at once. Rows are matched on normalised title + company + city; the richest copy is kept, missing fields are filled from the others, and alsoOn lists every board it appeared on. Title variants ("Sr. Software Engineer II (Remote)" and "Senior Software Engineer 2"), requisition IDs, company suffixes (Inc, Ltd, GmbH) and city spellings ("NYC", "New York, United States") all collapse to one key. Each run writes MERGE_SAMPLE with the first sixty kept/dropped pairs; 30 of 30 inspected merges were the same posting.

Every row gets city, region (US state or Canadian province code, or the region as written), country (ISO 3166-1 alpha-2) and locationType (onsite, hybrid, remote), so you filter by country without regexes. Department and seniority come from the title, the employer's own department label winning where the ATS supplies one; tech lists the technologies named in the posting, from 190 recognised, and requireTech turns a search into a shortlist.

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One hiring profile per company

A new job posting is a buying signal: a company posting five SDR roles needs sales tooling, one hiring three Snowflake engineers is standing up a data platform. Each company found gets one row:

{
  "recordType": "company", "company": "Stripe", "openRolesFound": 7,
  "atsProvider": "greenhouse", "atsOpenRoles": 716, "boards": ["linkedin", "indeed", "greenhouse"],
  "departments": { "Engineering": 5, "Product": 2 }, "seniorityMix": { "senior": 4, "lead": 2, "mid": 1 },
  "topTech": ["Kubernetes", "Go", "Kafka", "Snowflake"], "salaryMinUsd": 165000, "salaryMaxUsd": 290000, "remoteShare": 0.43
}

atsOpenRoles is the whole board, not just what matched your search: the honest size of their hiring, from the employer's own count.

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Rows arrive in waves

Since 1.6 the run delivers rows as soon as nothing more can be added to them, instead of everything at the end. Employer boards and free feeds arrive complete and go out first, usually within a few seconds; the board rows follow once the employer-board match and the description reads are done, and those three stages now run at the same time instead of one after another. Measured on the platform: a remote search delivered its first 15 rows at 3 seconds and all 66 at 40; 150 employer boards delivered 243 postings at 15 seconds (32 before); the default run finished in 20.8 seconds alone and 38.5 with three runs sharing the proxy (67 before). A copy of a row that already went out is dropped rather than merged, and its board is still counted on the company's profile. RUN_SUMMARY.waves lists each wave with its row count and the second it landed.

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Monitor mode: only what is new since the last run

Turn on onlyNew and the search remembers every posting it has delivered. On a schedule, each run returns only postings that were not there before: a feed of new jobs, nothing delivered twice, nothing charged twice.

• Memory is one record per search in a key-value store named job-board-api-monitor in your own account. Nothing leaves your storage.
• The record is named from the search itself, so the same search always shares one memory. Set monitorName to share memory between searches or to start over.
• Only rows actually delivered are remembered; rows held back by a spending limit stay new. Postings not seen for 60 days are forgotten, so a role closed and reposted later shows up again.

{ "searchTerms": ["machine learning engineer"], "location": "Remote", "onlyNew": true }

Measured: first run 6 jobs from two feeds in 1.5 seconds; the same input again minutes later, 0 new, 6 already seen, one notice row, nothing charged but the $0.002 Actor start. Boards rotate their top results, so a repeat an hour later usually finds a handful of genuinely new rows.

Run it on a schedule in three steps. Open the public task daily-new-jobs-monitor, press Save as task and set your terms and location. In the task, open Schedules and pick every day or every hour. Then open Integrations and connect Slack, Google Sheets, Airtable or a webhook: each run delivers exactly the new postings, and a day with nothing new costs the Actor start.

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Employer-direct search

searchEmployerBoards: 100 asks the hundred largest boards in the bundled, verified list of 1,129 well-known employers on 17 platforms (Lockheed Martin, Capital One, JPMorgan Chase, Nvidia, Databricks, OpenAI, Stripe, Anthropic, Datadog, Airbnb…) for your search terms directly; searchEmployerBoards: 800 covers the whole list. No aggregator in between: the full description, the employer's own department label, the real posting date, the direct apply URL and a hiring profile per company. A role matches when the whole term appears in its title or every word of a multi-word term does.

{ "searchTerms": ["machine learning engineer"], "boards": [], "searchEmployerBoards": 150 }

Measured: 150 boards asked, 243 postings delivered at 15 seconds, 241 with a description, 184 with a salary, 55 company profiles.

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Deep mode

knob	default	deep
locations	one	up to 10 locations in one run, deduplicated together
resultsPerBoard	20	up to 500 per board per term per location
searchEmployerBoards	0	up to 400, the whole verified employer list
maxDescriptionsPerBoard	60	up to 500 descriptions from one Workday or Eightfold board
maxJobPageFetches	40	up to 300 employer pages and board details read per board
maxAtsLookups	50	up to 200 companies resolved to their boards

A national sweep, measured with 1.5: one term, three cities, three boards, 100 per board: 736 deduplicated jobs (61 duplicates merged), 676 with a description, 631 with a salary, 240 companies profiled, in 341 seconds.

{ "searchTerms": ["software engineer"], "locations": ["San Francisco, CA", "Austin, TX", "Seattle, WA"], "resultsPerBoard": 100, "maxAtsLookups": 200, "maxJobPageFetches": 300 }

A whole enterprise board, measured: Nvidia's Workday board, 300 descriptions requested: 267 roles with full descriptions in 196 seconds.

{ "companies": ["https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"], "boards": [], "maxDescriptionsPerBoard": 500 }

Deep runs take minutes; you pay per deduplicated row delivered, so a sweep that finds the same posting in five cities bills it once.

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Recipes

Remote senior data roles posted this week, with salaries over $150k

{ "searchTerms": ["senior data engineer", "staff data engineer"], "location": "Remote", "remoteOnly": true, "postedWithinHours": 168, "requireSalary": true, "minSalaryUsd": 150000 }

Who is hiring for Snowflake in London

{ "searchTerms": ["data engineer", "analytics engineer"], "location": "London", "indeedCountry": "uk", "requireTech": ["Snowflake"] }

A named company's whole board, straight from the employer

{ "companies": ["stripe.com", "https://jobs.ashbyhq.com/ramp", "Datadog"] }

An enterprise on Workday: 173 matching Nvidia roles in 42 seconds, measured.

{ "companies": ["https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"], "searchTerms": ["software engineer"], "boards": [] }

Amazon, by name: 59 matching roles with descriptions in 8 seconds, measured.

{ "companies": ["Amazon"], "searchTerms": ["software development engineer"], "location": "New York, NY", "boards": [] }

Internships and new-grad roles with salaries: 99 roles in 7 seconds, every one with a stated salary, measured.

{ "searchTerms": ["software engineer intern"], "boards": ["collegejobs"], "resultsPerBoard": 100 }

Remote roles from every free feed at once

{ "searchTerms": ["backend engineer"], "location": "Remote", "remoteOnly": true, "boards": ["remotive", "remoteok", "jobicy", "himalayas", "workingnomads", "weworkremotely", "hackernews"] }

Cheapest possible daily feed

{ "searchTerms": ["product manager"], "location": "Austin, TX", "boards": ["indeed"], "postedWithinHours": 24, "enrichFromAts": false, "companyRollup": false }

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Every option

The form shows five fields; everything else sits in collapsed sections.

Option	Default	What it does
searchTerms	—	Up to 5 queries, merged; each row records which one found it
location	—	City, region, country or Remote
boards	indeed, linkedin, glassdoor	Also naukri, bayt, bdjobs and the free APIs remotive, remoteok, arbeitnow, jobicy, himalayas, workingnomads, weworkremotely, hackernews, wttj, collegejobs
companies	—	Employers to read directly from their own board: names, domains or board URLs
resultsPerBoard	20	1–500 per board per term per location, before deduplication
Enrichment
enrichFromAts	true	Match aggregator rows to the employer's own posting
fetchAggregatorPages	true	Read LinkedIn's and Glassdoor's own job details for rows still without a description
fetchJobPages	true	Read the employer's job page (JobPosting JSON-LD) for rows still without a description
companyRollup	true	One hiring-profile row per company
Filters
remoteOnly / linkedinEasyApply	false	Board filters
postedWithinHours	—	Posted within N hours
jobType	—	fulltime, parttime, contract, internship, temporary
requireSalary	false	Keep only rows with a salary, including salaries that came from the employer's board or the text
minSalaryUsd	—	Annualised USD floor
requireTech	—	Keep only rows naming these technologies
indeedCountry	usa	National Indeed and Glassdoor site
Monitor mode
onlyNew	false	Deliver and charge only postings this search has not delivered before
monitorName	derived	Name of the memory record; set it to share or reset (monitorKey still accepted)
Deep mode
locations	—	Up to 10 more locations in the same run
searchEmployerBoards	0	Ask the N largest boards in the bundled employer list for the terms (0–400)
maxAtsLookups	50	Companies to look up per run, up to 200
maxJobPageFetches	40	Cap on page and board-detail reads, per board, up to 300
maxDescriptionsPerBoard	60	Descriptions fetched per Workday or Eightfold board, up to 500
Advanced
autoRemoteFeeds	true	Remote searches also pull the free remote feeds unless you picked feeds yourself
linkedinDescriptions	false	LinkedIn's own per-job fetch; unnecessary since the board details are read
linkedinCompanyIds	—	Restrict LinkedIn to company IDs
descriptionFormat	markdown	or html, for board descriptions
radiusMiles	50	Miles around the location
offset	0	Pagination
useApifyProxy	true	Apify Proxy, residential by default, for Indeed, LinkedIn and Glassdoor
proxiedBoards	indeed, linkedin, glassdoor	Which boards go through the proxy
proxyConfiguration	residential	Another proxy group, or your own proxy URLs

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How much does it cost?

Pay per event: per deduplicated job row delivered and, with companyRollup on, per company profile. Rows merged as duplicates, boards that return nothing and companies without a public board cost nothing. Actor start is $0.002.

Plan	per job	per company profile
Free	$0.005	$0.005
Bronze	$0.0045	$0.0045
Silver	$0.004	$0.004
Gold	$0.0035	$0.0035

• The default run, measured: 57 jobs + 43 profiles = $0.50 (Gold: $0.35)
• 1,000 jobs = $5.00; with profiles at the measured ratio of about seven companies per ten jobs, $8.50 (Gold: $5.95)
• Indeed only with companyRollup: false, 100 jobs = $0.50
• Monitor mode on a daily schedule: only new postings are charged; a day with nothing new costs the $0.002 start
• The free plan's $5 monthly credit covers roughly 1,000 jobs without profiles

Platform usage (compute, proxy) is billed by Apify separately and is small: a three-board run measured $0.0002 of proxy traffic, because the boards answer with compact JSON.

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Use it from an AI agent, the API or an integration

MCP. Add the Apify MCP server to Claude, Cursor or any MCP client and the agent can call this Actor as a tool: "Find remote staff engineer roles posted this week that mention Kubernetes, and tell me which companies are hiring the most."

https://mcp.apify.com/?tools=spool/job-board-api

The server exposes a tool named spool-slash-job-board-api whose arguments are exactly this Actor's input; the generic call-actor form works too:

{ "tool": "call-actor", "arguments": { "actor": "spool/job-board-api", "input": { "searchTerms": ["staff engineer"], "location": "Remote", "postedWithinHours": 168, "requireTech": ["Kubernetes"] } } }

API. POST https://api.apify.com/v2/acts/spool~job-board-api/run-sync-get-dataset-items?token=… with the input as JSON returns the rows in one call. Python and JavaScript: client.actor("spool/job-board-api").call(run_input={...}) with apify-client. Schedules and integrations: run it daily with onlyNew and push the rows to Google Sheets, Airtable, Slack, HubSpot or a webhook from the Integrations tab; filter on recordType to route jobs and companies separately.

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What it covers, honestly

• Boards fail, the run does not. Each source runs isolated with its own timeout; one that errors or returns nothing is reported in the log and in RUN_SUMMARY.boardHealth while the others deliver.
• Three boards will not talk to Apify's own addresses. Indeed refuses the connection, Glassdoor answers 403 through the datacenter group, LinkedIn rate-limits by IP. Through the residential proxy all three answer, for about $0.0002 of traffic per run. Without residential access the Actor falls back to the default group, then to direct, and the log says what happened.
• Filter combinations the boards reject. LinkedIn cannot combine postedWithinHours with linkedinEasyApply; Indeed cannot combine postedWithinHours with jobType, remoteOnly or linkedinEasyApply. The board silently drops one.
• Descriptions depend on the source. Indeed: in the listing. LinkedIn and Glassdoor: from the employer's board or the board's own job detail, within the per-board cap; one of the eight proxy sessions is usually rate-limited by Glassdoor after a dozen requests and retired. Bayt, Naukri, BDJobs: none. Measured coverage: default run 57 of 57; deep run 676 of 736.
• ATS matching is by title and city. A posting whose title differs from the aggregator's ("SWE II" vs "Software Engineer II") is left unmatched rather than guessed. Rippling's and Breezy's list APIs carry no text, so a match there adds the apply URL and department only.
• The free APIs are remote-first and English-first; excellent for remote and tech roles, thin for on-site roles in Lyon.
• Salary coverage is the board's. Indeed and Glassdoor state salaries on most US rows; LinkedIn rarely; Bayt almost never.
• If your spending limit cuts a run short, rows beyond it are not delivered and not charged, a notice row says how many were held back, and in monitor mode they stay new for the next run.
• Tested. 63 offline tests (row typing against the dataset schema, salary extractor, location parser, dedupe keys, wave delivery) and 7 live smoke tests ship in tests/; Apify runs the default input daily.

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Is this legal?

The job boards collect public job postings only: the same search results any visitor sees, no login, no candidate or recruiter profiles, no paywall bypass. The employer boards are different in kind: Greenhouse, Ashby, Lever and SmartRecruiters publish public JSON APIs intended for exactly this use, which is why that part needs no proxy. Job listings are business information published to be found; handle any personal data a description happens to contain according to the law that applies to you.

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FAQ

Is there a LinkedIn jobs API, an Indeed API or a Glassdoor API? Not a public one: LinkedIn's is partner-only, Indeed retired its Publisher API, Glassdoor's is closed. This is a job board API over their public listings plus the employers' own ATS APIs, which are public.

How is this different from other job scrapers? The employer's own posting attached to aggregator rows, descriptions on every LinkedIn and Glassdoor row without their rate-limited per-job fetch, salaries annualised in USD, a hiring profile per company, monitor mode for schedules, and rows delivered in waves rather than at the end.

How fast is it? Free feeds and employer boards land in seconds; the default three-board run finishes in 20 to 40 seconds; deep runs take minutes. RUN_SUMMARY.waves shows when each wave landed.

How many jobs can one run return? Up to 500 per board per term per location across ten locations, plus whole employer boards (Nvidia's alone is 1,719 roles). Paginate with offset for more.

Which countries? LinkedIn is global. Indeed and Glassdoor take indeedCountry (usa, uk, canada, australia, germany, france, india, singapore, uae and most others). Naukri covers India, Bayt the Middle East, BDJobs Bangladesh, Welcome to the Jungle Europe. The employer boards are wherever the employer is.

Why fewer rows than I asked for? Fewer matches, duplicates merged, or a filter combination a board rejects. The log shows per-board counts and RUN_SUMMARY.duplicatesRemoved the merges.

Can I use it for lead generation? Yes: the company rows are built for it. A company posting several roles in one department, with its tech stack and salary band, is a qualified signal, and monitor mode turns it into a daily feed.

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Changelog

1.8.0 — 2026-10-11. Every row now carries jobCategory (30 categories), employmentType, yearsExperienceMin and yearsExperienceMax, visaSponsorship (true, false or not stated) and educationLevel, read from the title, the board's own labels and the posting text; a new Experience, visa, education view. Plain input names: boards, postedWithinHours, radiusMiles, remoteOnly, linkedinEasyApply, linkedinDescriptions, indeedCountry, proxiedBoards (the old names are still read). The verified employer list grows to 1,129 boards with 68,000 open roles; employment type comes from the platform's own field on Ashby, Lever, Workday and SmartRecruiters. Title now says what it is: a job board scraper and API.

1.7.0 — 2026-10-10. Companies named in companies that have no board under their name are now found through their careers page (website → careers link → the system behind it, six requests and ten seconds at most) and read; Oracle Cloud HCM, SAP SuccessFactors (all three layouts) and Phenom career sites readable, plus Eightfold's personalised and custom-domain sites; the login-only SuccessFactors portal recognised. The verified employer list is rebuilt from a 1,000-company benchmark (478 found, 48%): 1,129 boards on 17 platforms, 68,177 open roles (was 307 boards on 4 platforms); searchEmployerBoards goes to 800 and reads every platform in the list. Slug guesses run on every platform at once; generic words (careers, jobs…) are never guessed as slugs.

1.6.0 — 2026-10-07. Rows arrive in waves: employer boards and feeds first, board rows once enrichment is done; ATS lookups start as each board returns and run alongside the page reads. Default run 21–39s (was 67s), 150 employer boards 15s (was 32s), remote search first rows at 3s. Input form reorganised into five visible fields plus collapsible sections; ZipRecruiter and Google Jobs, which returned nothing, removed from the options; monitorKey renamed monitorName (old name still read). README rewritten around what a run returns and costs.

1.5.0 — 2026-10-05. Board pages: LinkedIn and Glassdoor descriptions read from the boards' own job details through paced residential sessions. Pay ranges read from posting text. city, region, country, locationType on every row. Deduplication hardened. Test suite. Default run 59/59 descriptions (was 31), 52/59 salaries (was 41).

1.4.0 — 2026-10-05. Deep mode: locations, resultsPerBoard to 500, searchEmployerBoards to 400, maxDescriptionsPerBoard to 500. Employer pages (JobPosting JSON-LD). Welcome to the Jungle.

1.3.0 — 2026-10-05. Monitor mode (onlyNew). Employer-direct search over 307 verified boards. dedupeKey and firstSeenAt on every row.

1.2.0 — 2026-10-04. College jobs list, Amazon careers API, Eightfold career sites; Workday, Amazon and Eightfold asked for exact titles.

1.1.0 — 2026-10-04. Eight free job APIs; eight more ATS platforms including Workday from Indeed's direct URLs.

1.0.0 — 2026-10-04. Six boards via JobSpy; Greenhouse, Ashby, Lever and SmartRecruiters as source and as enrichment; deduplication; USD salaries; 190-technology detection; company profiles.

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Support

Open an issue on the Issues tab and you will get a reply, usually the same day. If a board changes and breaks, say so there; the per-board health in your run's RUN_SUMMARY is the fastest way to show it. If the Actor saved you time, a review on this page helps other people find it.

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