We Work Remotely Jobs Scraper

Scrape remote job listings from We Work Remotely — the largest remote-work community on the planet — straight into structured JSON, CSV or Excel. Pull the newest openings in programming, design, customer support, DevOps, product, marketing, sales and more, with company, role, region, category, description, link and posted date on every record.

No login. No API key. Datacenter-proxy friendly (or run with no proxy at all). Fast and cheap.

---

Why use this actor?

• No credentials, no scraping headaches — powered by We Work Remotely's public RSS feeds.
• Clean, split-out data — the WWR title "Company: Role" is split into separate company and title fields for you.
• Category targeting — scrape the whole board or just the categories you care about.
• Ready for pipelines — flat, nullable, consistent schema. Export to JSON/CSV/Excel or push to your DB, Google Sheets, or an ATS.
• Cheap — roughly $1 per 1,000 jobs, plus Apify platform usage.

Use cases

• Remote job aggregation — feed a job board or newsletter with fresh remote listings.
• Recruiting & sourcing — track which companies are hiring remotely and in which regions.
• Job boards & market research — monitor remote hiring trends by category over time.

Input

Field	Type	Default	Description
mode	select	jobs	What to scrape. jobs fetches the main feed plus any selected category feeds.
categories	array	[]	Category slugs to scrape (e.g. programming, design, customer-support, devops-sysadmin, product, marketing, sales). Empty = the main combined feed of all categories.
maxItems	integer	100	Maximum number of jobs to return across all feeds (1–1000).

Example input

{
  "mode": "jobs",
  "categories": ["programming", "design"],
  "maxItems": 200
}

Leave categories empty to scrape every category from the main feed:

{ "mode": "jobs", "categories": [], "maxItems": 100 }

Output

Each dataset item is one job:

{
  "title": "Senior Product Manager, Pricing",
  "company": "LawnStarter",
  "region": "Anywhere in the World",
  "country": "United States",
  "category": "Product",
  "job_type": "Full-Time",
  "url": "https://weworkremotely.com/remote-jobs/lawnstarter-senior-product-manager-pricing",
  "guid": "https://weworkremotely.com/remote-jobs/lawnstarter-senior-product-manager-pricing",
  "logo": "https://wwr-pro.s3.amazonaws.com/logos/0171/5881/logo.gif",
  "description": "About LawnStarter ... (plain text, capped at 5000 chars)",
  "posted_at": "2026-07-20T10:55:05Z",
  "source": "weworkremotely",
  "scraped_at": "2026-07-20T11:00:00Z"
}

All fields are nullable — if We Work Remotely omits a value it comes back as null rather than breaking your pipeline.

Available categories

Common slugs: programming, design, customer-support, devops-sysadmin, product, marketing, sales, management-and-finance, all-other. Pass the slug portion only — the actor builds the full feed URL for you.

Pricing

Around $1 per 1,000 jobs scraped, on top of standard Apify platform usage. Runs are quick and light (512 MB) because they read compact RSS feeds rather than rendering pages.

Related actors

Building a remote-jobs pipeline? Combine this with the rest of the collection:

• RemoteOK Jobs Scraper
• Jobicy Remote Jobs Scraper
• Himalayas Jobs Scraper
• Arbeitnow Jobs Scraper

FAQ

Do I need a We Work Remotely account or API key? No. The actor uses public RSS feeds.

How fresh is the data? As fresh as the feed — WWR updates continuously and the feed reflects the newest listings.

Can I get the full job description? Yes, plain-text and capped at 5000 characters in description. Open url for the original HTML posting.

Is this legal? The actor reads publicly available RSS feeds and returns only public job-listing data. You are responsible for complying with We Work Remotely's terms and applicable law.

---

Keywords: we work remotely scraper, weworkremotely jobs, remote jobs scraper, remote job listings, remote work api, job board scraper, remote developer jobs, remote design jobs, jobs rss feed, recruiting data, job aggregation, remote hiring.