We Work Remotely Scraper — Latest Remote Jobs, All Categories avatar

We Work Remotely Scraper — Latest Remote Jobs, All Categories

Pricing

from $0.64 / 1,000 jobs

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We Work Remotely Scraper — Latest Remote Jobs, All Categories

We Work Remotely Scraper — Latest Remote Jobs, All Categories

We Work Remotely jobs scraper: the latest remote jobs from every category (programming, design, devops, product, marketing, support…) with company, region, category, job type, posting date and description — plus job alerts: only jobs new since your last run. No login.

Pricing

from $0.64 / 1,000 jobs

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Developer

Northbell

Northbell

Maintained by Community

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1

Monthly active users

3 hours ago

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We Work Remotely Scraper

The latest remote jobs on We Work Remotely from every category — programming, design, devops, product, sales and marketing, customer support and more — with company, region, category, job type and description, de-duplicated across categories. Leave the search empty for everything currently listed. Schedule it and you get only the jobs posted since the last run.

Try it now — the input is already filled in. Press Start: the example searches (designer, engineer) return about 80 remote jobs in about 35 seconds, for about $0.08.

titlecompanylocationcategoryemploymentType
Brand DesignerTailscaleAnywhere in the WorldSales and MarketingFull-Time
Senior Engineer (.NET)CurrentAnywhere in the WorldDevOps and SysadminFull-Time
Full Stack DeveloperTypeformAnywhere in the WorldFull-Stack ProgrammingFull-Time

How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run — so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, company, locationas listed (location is the region the employer accepts, e.g. "Anywhere in the World")
category, employmentTypeWe Work Remotely's category (e.g. Full-Stack Programming, Design) and job type
descriptionthe job text from the listing
postedAt, sourcewhen it was posted, and "We Work Remotely"

We Work Remotely publishes the newest jobs per category; this Actor reads every category and removes duplicates, so one run returns everything currently listed (a few hundred jobs). Schedule it to build up a history. | isNewSinceLastRun | true / false, or null on the first run (unknown, not "old") | | jobUrl | link to the job on We Work Remotely | | search | which of your searches returned it |

Input

Put one search per line in Searches (e.g. designer) and optionally a Location (e.g. Anywhere in the World). Or set the filters on the site and paste the result page into Search URLs (e.g. https://weworkremotely.com/categories/remote-programming-jobs) — every filter the site has then applies. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on.

Example output

One real row from a test run (long text shortened here with …).

{
"type": "job",
"provider": "wwr",
"search": "designer",
"jobId": "contra-senior-3d-designer",
"title": "Senior 3D Designer",
"company": "Contra",
"location": "Anywhere in the World",
"remote": true,
"category": "Design",
"employmentType": "Contract",
"description": "Headquarters: San Francisco, CA\n \nURL: http://bit.ly/3kLhMdk\n\nAbout Contra Labs\n\nContra Labs sits at the intersection of human creativity and AI. We partner wit…",
"postedAt": "2026-10-07T00:11:33.000Z",
"jobUrl": "https://weworkremotely.com/remote-jobs/contra-senior-3d-designer",
"source": "We Work Remotely",
"countryCode": null,
"seniority": "senior",
"employmentTypes": [
"contract"
],
"isNewSinceLastRun": false
}

Get only the new jobs every morning (3 steps)

  1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
  2. On the task, add a Schedule — for example daily at 07:00.
  3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 9 tidy columns, title first, instead of every raw field.

Pricing

$0.80 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title — no company names needed — and reports exactly which matching roles are new or closed each run.

For AI agents

For a fast answer call with {"searches": ["designer"], "maxJobsPerSearch": 20} — a few seconds. The defaults (up to 200 jobs) can take about a minute, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned — no extra requests, no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search — e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run — and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Arbeitnow · Remote OK · We Work Remotely.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.