We Work Remotely Jobs Scraper

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🎯 What this scrapes

We Work Remotely (weworkremotely.com) publishes its entire live job list as public RSS 2.0, plus one dedicated feed per category. This Actor fetches the main feed or one-or-more category feeds you choose, merges and de-duplicates results by GUID when multiple categories are selected, splits each packed "Company: Position" title into structured fields, normalizes sparse location/skill/type fields, cleans each HTML job description down to plain text, and lands one typed dataset row per job — no pagination, no login, no per-job page visits required.

🔥 Features

• 🛡️ We rotate browser fingerprints — curl-cffi impersonation replays real Chrome / Firefox TLS handshakes on every request, so the target sees a browser, not a script.
• 🔁 We retry with exponential backoff on 408 / 429 / 5xx — up to 5 attempts, honouring Retry-After whenever the target sends it.
• 🧱 We fail loud, not silent — a broken upstream feed surfaces as a failed run with a clear status message, never a quiet empty dataset.
• 🧊 We keep the dataset clean — Pydantic-validated typed rows, packed titles split into company/position, sparse fields null-normalized instead of passed through as empty strings.
• 💰 You pay only for results that land — Pay-Per-Event pricing. No data, no charge.

💡 Use cases

• Recruiter tooling — pull today's remote openings for a given category, filtered by keyword or company.
• Job-board aggregators — mirror We Work Remotely's coverage into your own listings alongside the rest of the Devil Scrapes job-board fleet.
• Labor-market research — track category and skill demand across We Work Remotely's postings over time.
• Lead generation — find companies actively hiring remote roles as a growth/budget signal.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Optionally pick one or more categories to narrow the feed — leave empty to pull the whole main feed (capped by maxItems).
3. Optionally set keywords or company to filter further.
4. Click Start. Output streams into the run's dataset.
5. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.

Call it from Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("DevilScrapes/weworkremotely-jobs-scraper").call(
    run_input={
        "categories": ["design", "product"],
        "keywords": [],
        "company": "",
        "maxItems": 100,
        "proxyConfiguration": {"useApifyProxy": False},
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["position"], item["company"])

📥 Input

Field	Type	Required	Default	Notes
categories	array	no	[]	Fetch these category feeds instead of the main feed; merged and de-duplicated by GUID.
keywords	array	no	[]	Keep jobs whose position/description/company contains ANY keyword (case-insensitive substring).
company	string	no	""	Case-insensitive substring match on company name.
maxItems	integer	no	100	Cap on rows emitted, applied after merge/dedupe/filter (1-1000).
proxyConfiguration	object	no	{"useApifyProxy": false}	Standard Apify Proxy config — not required for this public feed target.

Example input

{
  "categories": ["design", "product"],
  "keywords": [],
  "company": "",
  "maxItems": 100,
  "proxyConfiguration": { "useApifyProxy": false }
}

📤 Output

Every row is one dataset item.

Field	Type	Notes
guid	string	Stable unique identifier (equals url in every sampled item).
url	string	We Work Remotely job page URL.
company	string	Hiring company, split from the packed title.
position	string	Job title, split from the packed title.
category	string | null	WWR category label, null if untagged.
job_type	string | null	Employment type (e.g. "Full-Time"), null if empty.
region	string | null	Free-text region, null if empty.
country	string | null	Free-text country, null if empty.
state	string | null	Free-text state/province, null if empty.
skills	array	Comma-separated skills split into stripped tokens. May be empty.
description	string	HTML stripped to clean plain text.
logo_url	string | null	Company logo URL, null if absent.
pub_date	string | null	ISO-8601 publish timestamp, null if unparseable.
expires_at	string | null	ISO-8601 expiry timestamp, null if absent/unparseable.

Example output

{
  "guid": "https://weworkremotely.com/remote-jobs/uttr-project-manager",
  "url": "https://weworkremotely.com/remote-jobs/uttr-project-manager",
  "company": "UTTR",
  "position": "Project Manager",
  "category": "Sales and Marketing",
  "job_type": "Full-Time",
  "region": "Anywhere in the World",
  "country": null,
  "state": "New York",
  "skills": [],
  "description": "Headquarters: New York URL: https://www.uttr.com/ UTTR stands for...",
  "logo_url": "https://wwr-pro.s3.amazonaws.com/logos/0171/6351/logo.gif",
  "pub_date": "2026-09-09T15:41:42+00:00",
  "expires_at": "2026-10-09T15:41:42+00:00"
}

💰 Pricing

Pay-Per-Event — you pay only when these events fire:

Event	USD	What it is
actor-start	$0.20	One-off warm-up charge per run
result	$0.0015	Per dataset item (→ $1.50 / 1 000 results)

Example: 1,000 results at the rates above ≈ $1.70 total ($0.20 start + $1.50 for the results). No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

🚧 Limitations

We Work Remotely's RSS feeds only expose the current live listings — there's no historical archive and no pagination cursor, so this Actor returns a single snapshot per run. Only 10 category feeds are publicly offered (the "All Other Remote" category has no dedicated feed and isn't a selectable filter).

❓ FAQ

Is this legal?

We only fetch content the source makes publicly available via its own documented RSS feeds. Respect We Work Remotely's terms of service before using output commercially.

How do I export to Sheets?

After the run, click Storage → Dataset → Export and pick CSV. Google Sheets imports it directly.

Why is country empty on most rows?

We Work Remotely's own feed leaves country/state empty on most postings — we pass through exactly what the source reports, as null when it's missing, rather than guessing.

Can I fetch more than one category at once?

Yes — select multiple values in categories; results are merged and de-duplicated by guid before maxItems is applied.

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.

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