Workable Jobs Scraper

Scrape job listings from Workable, the applicant-tracking system behind tens of thousands of company careers pages. It works two ways:

• Search all Workable jobs. Search by keyword and location across every company that hires on Workable (about 170,000 live jobs), just like the Workable job board.
• Company boards. Give it a list of companies and get every open job at each one.

Each row has the full job description, the requirements and benefits sections, the salary when the posting states one, workplace type (remote, hybrid or on-site), location, post date, the apply link and company details. You don't need a Workable account or a login.

What you can do with it

• Job boards and aggregators. Pull every Workable job in a country or niche and keep your board up to date.
• Job alerts. Schedule a search with Only new jobs turned on. Each run returns only postings you haven't seen yet.
• Recruiting and sales intelligence. Find out which companies are hiring for which roles and where. Company websites come with each job, so you can go straight to outreach.
• Market research. Track hiring volume, remote share, seniority mix and advertised salaries by role and region.
• Competitor monitoring. Watch the careers boards of the companies you care about.

Features

• Keyword × location search. Enter several keywords and several locations, and every combination gets searched in parallel. Duplicate jobs are removed.
• Every filter the job board offers. Filter by workplace (remote, hybrid, on-site), employment type, experience level and date posted (24 hours, 7 days or 30 days). You can pick more than one value per filter.
• Company boards. Accepts a careers-page name (huggingface), a careers link (https://apply.workable.com/huggingface/, https://huggingface.workable.com) or a company link from the Workable job board. Company rows also include experience level, job function, industry, education and a direct apply link.
• Complete descriptions. The description, requirements and benefits come as separate fields, in plain text, HTML or both.
• Salary. Workable has no salary field, but many postings state pay in the text. The scraper pulls the stated amount or range, such as $100,000-$220,000 or £45k – £55k per annum, and skips figures that aren't pay (funding rounds, assets under management, bonuses, perks).
• Only new jobs mode for scheduled monitoring. Jobs returned in earlier runs are skipped.
• Fast and light. It uses plain HTTP with no browser, loads 20 jobs per request and saves results as it goes. A run that hits its time limit still finishes successfully and keeps everything collected up to that point.

Input

Field	What it does
What to scrape	Search all Workable jobs or Company boards
Job titles / keywords	One search per line. Leave empty to get every job in the chosen locations.
Locations	A city, region or country, e.g. Toronto, London, Germany, United States. Leave empty for worldwide.
Workplace	On-site / Hybrid / Remote (any of the selected)
Employment type	Full-time, Part-time, Contract, Temporary, Other
Experience level	Internship, Entry level, Associate, Mid-Senior level, Director, Executive
Date posted	Any time, last 24 hours, 7 days or 30 days
Workable URLs	Optional. Paste job-board search links (https://jobs.workable.com/search?query=...&location=..., filters included) or company pages; each becomes its own search or board.
Companies	For company-board mode: names or links, one per line
Max jobs (total) / Max jobs per search	Limits (0 = no limit)
Include job description, Description format, Include company description	Control how much text each row carries
Only new jobs, Memory name	Monitoring mode (see below)

Common alternative field names are accepted too (maxResults / limit for Max jobs, keyword / q for keywords, city / country for locations, jobType, experienceLevel, datePosted, remote: true, startUrls), so an input written for another job scraper usually works as is.

Example: remote data jobs in Canada and the UK posted this week

{
  "queries": ["data analyst", "data engineer"],
  "locations": ["Canada", "United Kingdom"],
  "workplace": ["remote"],
  "postedWithin": "7",
  "maxItems": 500
}

Example: every open job at a few companies

{
  "mode": "companies",
  "companies": [
    "huggingface",
    "https://apply.workable.com/blueground/",
    "https://skroutz.workable.com"
  ]
}

Example: daily new-job alert

Save this as a task and schedule it to run daily. The first run returns everything that matches, and later runs return only jobs posted since the last run.

{
  "queries": ["product manager"],
  "locations": ["Toronto"],
  "postedWithin": "7",
  "onlyNew": true
}

Output

One row per job. Here is a real example (long text shortened):

{
  "id": "b259c492-1385-4876-8f3c-51230ac16cbc",
  "title": "Software Engineer",
  "companyName": "Fiscal.ai",
  "companyWebsite": "https://fiscal.ai",
  "companyLogo": "https://workablehr.s3.amazonaws.com/uploads/account/logo/674170/logo",
  "companyUrl": "https://jobs.workable.com/company/upohitRDkZUqEnNiBRXZ9Z/jobs-at-fiscal.ai",
  "companyDescription": "About Fiscal.ai\n\nFiscal.ai is a leading research and data platform for capital markets...",
  "department": null,
  "employmentType": "Full-time",
  "workplace": "remote",
  "isRemote": true,
  "city": "Toronto",
  "region": "Ontario",
  "country": "Canada",
  "locations": ["Toronto, Ontario, Canada"],
  "salary": "$100,000-$220,000",
  "postedAt": "2026-09-21T16:20:41.327Z",
  "postedDaysAgo": 2,
  "language": "en",
  "url": "https://jobs.workable.com/view/o2n3ZT78DxDntT9TSkXPfL/remote-software-engineer-in-toronto-at-fiscal.ai",
  "applyUrl": "https://jobs.workable.com/view/o2n3ZT78DxDntT9TSkXPfL/remote-software-engineer-in-toronto-at-fiscal.ai",
  "description": "Job Title: Software Engineer: Quality (Terminal)\nSalary: $100,000-$220,000 + equity options...",
  "requirements": "• You write good code, fast, and you fix what you find...",
  "benefits": "• Competitive salary\n• Equity options\n• Unlimited vacation...",
  "experienceLevel": null,
  "source": "search",
  "searchQuery": "software engineer",
  "searchLocation": null,
  "scrapedAt": "2026-09-24T07:42:11.244Z"
}

Rows from company boards also fill in experienceLevel, jobFunction, industry, education and shortcode, and their applyUrl points straight to the application form, for example https://apply.workable.com/j/F88446C814/apply.

You can download the dataset as JSON, CSV, Excel, XML or HTML, or read it through the Apify API. The Jobs view shows the key columns and the Descriptions view shows the full text.

Tips

• Big pulls. Workable returns 20 jobs per page, so 1,000 jobs takes about 50 requests. To collect a whole country quickly, split it into several keywords or cities. Every combination runs in parallel and duplicates are removed.
• Keep scheduled runs small. For alerts, combine Only new jobs with Date posted = Last 7 days. Each run then only reads recent postings.
• Empty keywords with a location returns every Workable job in that location. Empty keywords and no location returns the newest jobs worldwide, up to your Max jobs limit.

FAQ

Do I need a Workable account? No. The scraper reads the same public listings anyone can browse on Workable.

Is it legal to scrape Workable? This scraper collects only public job listings that employers publish on Workable for anyone to read, without logging in. Job postings are business information, but a posting's text can sometimes include the name or work email of a recruiter that the employer chose to publish. If you keep or use that personal data, handle it under the privacy laws that apply to you, such as GDPR, PIPEDA or CCPA. Use the data in line with Workable's terms and the law, and check with a lawyer if you're unsure about your use case. For background, see Apify's guide Is web scraping legal?

Does it access any private data? No. It reads only Workable's public job board and public company careers pages, the same pages anyone can open in a browser. It never logs in and uses no accounts or cookies, so it can't see unlisted or internal postings, applicants, candidate profiles or anything else behind a Workable login. Only new jobs mode stores job ids (not personal data) in your own Apify account's storage.

Why is salary empty on some jobs? Workable doesn't have a salary field. The scraper can only extract pay that the employer wrote in the posting, and roughly 40% of postings in the US, Canada and UK include it. It leaves the field empty rather than guess.

Why are department, requirements or benefits empty sometimes? Some employers leave those sections blank or put everything in the main description. The main description is always included.

What's the difference between search mode and company boards? Search covers every Workable employer and is the way to discover jobs. Company boards give you the complete list of open jobs for companies you already know, plus a few extra fields (experience level, function, industry, education, direct application link).

Can I scrape a company that uses Workable on its own domain, like careers.example.com? Yes. Open any job on that site. The apply button leads to apply.workable.com/<name>/..., so use that <name> as the company.

How does "Only new jobs" remember what it has seen? It keeps a list of job ids in your Apify account's storage, one list for each search setup. Change the keywords or filters and a fresh list starts. To keep one list across changes, or to share it between tasks, set Memory name.

Do I need to set up proxies? No. The default Apify Proxy setting works. If Workable starts limiting the default IPs, the run switches to residential proxies automatically and keeps going.

What happens if something goes wrong mid-run? The run still finishes successfully with everything collected so far, and the status message says what happened (for example Stopped at the time limit — 1,240 jobs saved). Every request is retried on a fresh IP with backoff; a blocked datacenter IP escalates to residential; a run that hits its timeout stops early and saves what it has; a run that hits your spending limit stops at the limit. A run reports 0 jobs, no charge rather than failing when the input cannot be read, nothing matches, Workable refuses every request or its API has moved. You only ever pay for jobs that were actually saved to the dataset — never for duplicates, already-seen jobs in Only new jobs mode, or errors. A RUN_REPORT record in the run's key-value store has the request, proxy and failure statistics.