Global Job Search API - Remote Jobs, All-in-One, 18 Job Boards

Global Job Search API - Remote Jobs, All-in-One, 18 Job Boards

Global job search API for 18 job boards at once, worldwide and remote: type a job title and get the newest matching jobs from Hiring Cafe, Greenhouse, Lever, Workday, Ashby, SmartRecruiters, Workable, Cornerstone, Deel, Y Combinator, Wellfound, Welcome to the Jungle (with Otta), eFinancialCareers, Naukri, foundit, Instahyre, Hirist and Cutshort, searched live and in parallel, each job once. Every row has the title, company, places, remote or office, job type, published pay, posting date, the board it came from and the apply link. Turn on full details for the description.

Use it as an all-in-one, universal job search: one multi job board scraper and API with no login and no API key, an ATS jobs API for company career sites, a job aggregator feed for your own job board, or a daily job alert, from the Apify Console, the Apify API, Python, JavaScript, n8n, Make or an AI agent over MCP, and export JSON, CSV or Excel. It is the alternative to running 18 job scrapers one after another: every board is searched at the same time, so a run takes about as long as its slowest board. Available as an Apify Actor. $0.004 per job, $0.005 with full details, and $0.01 per board searched.

Use it from an AI assistant:

• Claude (claude.ai and the desktop app): Add Global Job Search to Claude, click Continue, sign in to Apify, Allow, and ask in plain words.
• Claude Code: claude mcp add --transport http global-job-search-api "https://mcp.apify.com?tools=anshumanatrey/global-job-search-api", then run /mcp to sign in to Apify.
• Codex: codex mcp add global-job-search-api --url "https://mcp.apify.com?tools=anshumanatrey/global-job-search-api", then codex mcp login global-job-search-api.
• Any other MCP client: https://mcp.apify.com?tools=anshumanatrey/global-job-search-api, signed in with Apify or an Authorization: Bearer <APIFY_TOKEN> header.

What does it do?

• Searches 18 job boards in one run, all at the same time. Job boards that index jobs themselves (Hiring Cafe's 6 million jobs from employers' career sites, Y Combinator's Work at a Startup, Wellfound, Welcome to the Jungle and Otta, eFinancialCareers, and India's Naukri, foundit, Instahyre, Hirist and Cutshort) and company career sites on eight applicant tracking systems (Greenhouse's 8,357 job boards, Lever's 2,396, Workday's 2,207, Ashby's 3,814, SmartRecruiters' 2,917, Workable's 2,196, Cornerstone's 1,110 and Deel's 161).
• The newest jobs of all of them, newest first. Each board finds its newest matches, then the newest of them all are saved, up to Number of jobs (maxJobs), with the board each came from in platform.
• Each job once. A job listed on two boards (a company's Greenhouse posting that Hiring Cafe and eFinancialCareers also carry) is saved once: the same job link, the same company, title and city, or the same company and title posted at the same second.
• The same filters on every board. Job titles, places (cities, states, countries, regions, Worldwide), remote or office, job type, posting period, years of experience, words to leave out, and companies.
• Links go to their own board. A company link pasted in the search (job-boards.greenhouse.io/stripe) searches that board only; job links of any of the 18 boards are checked by their own board and come back open, closed or not found.
• A summary per board. The OUTPUT record says, for every board, how many jobs matched and were saved, how long it took, and any trouble it met.

How is it different from other job search scrapers?

• Job boards and company career sites together. The multi-board actors on the Apify Store read applicant tracking systems or general job boards; this one reads both, India's job boards included, and keeps each job once across them.
• Live at the moment of your run. Every board is read when you run it, not from an index built earlier, so a job posted an hour ago can be in your results.
• Titles that match. A job matches when its title has every word of one of your lines, so 100 rows for data analyst are 100 data analyst jobs.
• Parallel, with a time cap. The boards are read at the same time, and Time per board (secondsPerBoard) caps how long any one of them searches: a slow board delivers what it found and the run goes on.
• Open source. The search engine behind it, one adapter per board, is public on GitHub under the MIT license.

When should I use it?

• Job seekers: one search across every board for your title and city, newest first, each with its apply link.
• Job boards and aggregators: a fresh feed of jobs from career sites and job boards in one schema.
• Recruiters and sales teams: who is hiring for a role right now, and on which hiring system.
• AI agents: one tool that searches every board, instead of a tool per board.

How much does it cost to search 18 job boards?

Pay per event: $4.00 per 1,000 jobs, or $5.00 per 1,000 with full details, plus $0.01 for each board a search reads, charged when the run starts. Apify's free $5 monthly credit covers about 8 runs of 100 jobs on all 18 boards, or about 20 runs of 50 jobs on 5 boards. Platform usage is included, and there is no monthly fee.

On Apify's paid plans a job costs less: $0.004 on BRONZE, $0.0036 on SILVER and $0.0032 on GOLD and above; a job with details $0.005, $0.0045 and $0.004. The board fee is the same on every plan.

Set a maximum cost per run in Apify and the run reads only the boards that fit, keeping room for at least one job, then stops saving at the limit.

How does the price compare with other job search scrapers?

Every actor on the Apify Store that searches several job boards or applicant tracking systems in one run and had 80 or more users in the last 30 days on 2026-11-13, ordered by users. Prices are each actor's live price on Apify's free plan that day, with the run start at its default memory.

Where others are cheaper: all but fantastic-jobs' API cost less than a search of all 18 boards here, because this actor reads every company on every board at the moment of your run, and the board fee pays for that reading; a search of 5 boards ($0.45) costs less than hirebase and factpipe. bovi, yugenox and jtpalms cost far less when Greenhouse, Lever and Ashby are all you need. For one board, the matching actor below costs far less: Hiring Cafe Jobs Scraper charges $0.000062 a job. Where others do more: the database actors cover more applicant tracking systems (58 to 200+) and add AI-extracted fields.

Which inputs does it take?

Example input:

{  "searchTerms": ["data analyst"],  "location": ["London"],  "platforms": ["hiringcafe", "greenhouse", "lever", "ashby", "efinancialcareers"],  "postedWithin": "7 days",  "maxJobs": 50}

What does the output look like?

One row per job, newest first across every board searched. A row from a search for data analyst in London on 2026-11-12:

{  "title": "EMEA | Senior Data Business Analyst / Product Owner (Contractor)",  "company": "Infinite Lambda",  "location": "London",  "otherLocations": ["Romania", "Sofia I Bulgaria", "Hungary", "Spain", "Slovakia", "Portugal"],  "workType": "remote",  "employmentType": "full-time",  "department": "Customer Success",  "team": "Customer Success",  "salary": null,  "postedAt": "2026-11-11T10:52:26.238+00:00",  "expiresAt": null,  "jobUrl": "https://jobs.ashbyhq.com/Infinite%20Lambda/4bdf2b62-422f-4036-8645-cd1ffeef0a27",  "applyUrl": "https://jobs.ashbyhq.com/Infinite%20Lambda/4bdf2b62-422f-4036-8645-cd1ffeef0a27/application",  "status": "open",  "platform": "ashby",  "companySlug": "Infinite Lambda",  "companyWebsite": "https://infinitelambda.com",  "jobId": "4bdf2b62-422f-4036-8645-cd1ffeef0a27",  "checkedAt": "2026-11-12T20:12:25+00:00"}

Each board adds the fields its own actor gives, such as Hiring Cafe's seniority, skills and visaSponsorship, Y Combinator's batch, or Naukri's experience; the dataset schema names the boards that fill each field. The OUTPUT record holds the run summary: boards has one entry per board with matchingJobs, jobsSaved, seconds, duplicatesOfOtherBoards and any boardsWithErrors.

How fast is it?

Minutes, because the boards are read at the same time, the company career sites each in a process of their own. On Apify at the default 8 GB on 2026-11-13: data analyst in London on all 18 boards took 236 s and read every company on every board (Greenhouse's 8,357 job boards in 178 s, Ashby's 3,814 in 83 s, SmartRecruiters' 2,917 in 130 s, Lever's 2,396 in 145 s, Workday's 2,207 in 231 s); the job boards with their own search answered in 2 to 77 s. The example input, software engineer on 5 boards, took 113 s. Apify gives a run one CPU core for each 4 GB: at 4 GB, a search of all 18 boards is cut at Time per board (secondsPerBoard) with part of the big boards unread, and 16 GB runs faster. On a laptop the same day, software engineer on 16 boards took 255 s in one run, while the same search one board at a time added up to 938 s.

Common questions

Which boards does it search?

All 18 unless you pick some in Job boards (platforms): hiringcafe, greenhouse, lever, workday, ashby, smartrecruiters, workable, cornerstone, deel, ycombinator, wellfound, welcometothejungle, efinancialcareers, naukri, foundit, instahyre, hirist and cutshort. Names work too: Hiring Cafe, YC, Otta, Monster India.

Why does a run take a few minutes?

Company career sites have no search of their own across companies, so Greenhouse, Lever, Ashby and the other applicant tracking systems read every company's job list. The run takes about as long as its slowest board; lower Time per board (secondsPerBoard) to cap it, or pick the boards you need.

How does it keep each job once?

A job is left out when a board earlier in the newest-first list already gave the same job link, the same company and title in the same city, or the same company and title posted at the same second. In a search for data analyst in London on all 18 boards (Apify, 2026-11-13), 31 jobs that two boards listed were saved once; in the example input's software engineer search on 5 boards, 40.

Why did a board return nothing?

Its jobs may be older than the newest jobs of the other boards (raise Number of jobs), or it has none for your words and place: India's boards rarely list London jobs. The OUTPUT record's boards says what each board matched.

Does it work on Apify's free plan?

Global Job Search works on Apify's free plan, which pays $0.004 a job and $0.01 a board. The free $5 monthly credit pays for about 8 runs of 100 jobs on all 18 boards, or 20 runs of 50 jobs on 5 boards.

How often should I run it?

Running Global Job Search once a day keeps a job feed fresh: set Posted in the last (postedWithin) to 24 hours, schedule it under Schedules in Apify Console, and match rows on jobUrl to skip jobs you already have.

How do I check a list of job links?

Paste them in Job links to check (jobUrls), one per line, from any of the 18 boards. Each goes to its own board and comes back open with the job, closed or not found, in the order pasted. A link of another site is skipped with a note.

How do I call it from the API, Python, JavaScript, n8n or an AI agent?

Global Job Search runs from the Apify API, Python, JavaScript, n8n, Make or an AI agent over MCP. Each way uses your Apify token (Apify Console, Settings, API & Integrations) and takes the input as JSON keyed by the field names, such as searchTerms and platforms.

API. One call runs the actor and returns its rows (Apify waits up to 300 seconds):

curl -X POST "https://api.apify.com/v2/acts/anshumanatrey~global-job-search-api/run-sync-get-dataset-items" \  -H "Authorization: Bearer <YOUR_APIFY_TOKEN>" \  -H "Content-Type: application/json" \  -d '{"searchTerms": ["data analyst"], "location": ["London"], "platforms": ["hiringcafe", "greenhouse", "ashby"]}'

Python (pip install apify-client):

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("anshumanatrey/global-job-search-api").call(run_input={"searchTerms": ["data analyst"]})for row in client.dataset(run.default_dataset_id).iterate_items():  # apify-client 3+; on 2.x use run["defaultDatasetId"]    print(row["platform"], row["title"], row["company"], row["location"], row["applyUrl"])

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });const run = await client.actor('anshumanatrey/global-job-search-api').call({ searchTerms: ['data analyst'] });const { items } = await client.dataset(run.defaultDatasetId).listItems();for (const row of items) console.log(row.platform, row.title, row.company, row.location, row.applyUrl);

n8n and Make. In n8n, add the Apify node, pick Run an Actor and get dataset, choose this actor and paste the input JSON. In Make, the Apify app's Run an Actor and Get Dataset Items modules do the same.

AI agents (MCP). Add https://mcp.apify.com?tools=anshumanatrey/global-job-search-api to your MCP client and sign in with Apify, or send Authorization: Bearer <YOUR_APIFY_TOKEN>. The agent gets one tool that searches all 18 boards and sees every input field by its JSON key.

Is it legal to use?

Global Job Search reads public job postings, the pages any visitor sees without logging in. It is not affiliated with any of the boards it reads. You are responsible for how you use the data, including each board's terms and the privacy laws that apply to you.

Limitations

• A run takes about as long as its slowest board, up to Time per board (secondsPerBoard, 240 seconds by default); a board stopped there delivers what it found, and the OUTPUT record says so.
• Experience (experienceYears) keeps only jobs that state years: company career sites state none, so with it set only Hiring Cafe, Y Combinator, Wellfound, Welcome to the Jungle and the India boards can match.
• Each board keeps the limits of its own actor: Workable's jobs feed can end before today's jobs, Instahyre reads its jobs one by one, and HiringCafe shows a search's newest 10,000 employers.
• Read fast, Workday answers some career sites with HTTP 429: a run can miss a few of its 2,207 sites (8 in one run of 2026-11-13), named in the OUTPUT record.
• The default 8 GB of memory is what reads all 18 boards in full in about four minutes; a run at 4 GB gets one CPU core and cuts the biggest boards at Time per board.
• Pay is published on part of the jobs only, and salary is empty for the rest.
• Places are matched as each board writes them, so a US city next to United States finds more.
• Two listings of one job written differently on two boards (another title, another city) can both be saved.

Who maintains it?

Built and maintained by Anshuman Atrey (@AnshumanAtrey), who publishes a portfolio of data and OSINT actors on Apify Store. For a feature request or a bug, message LinkedIn (fastest), open an issue on the GitHub repo, or write through atrey.dev.

Sibling actors

One board at a time, for less:

Documentation

• Apify Store: https://apify.com/anshumanatrey/global-job-search-api
• GitHub repo: https://github.com/AnshumanAtrey/global-job-search-api (MIT license, see LICENSE)
• The engine behind it: https://github.com/AnshumanAtrey/ats-jobs-engine

Last updated

2026-11-13 (version 1.0)