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from $1.05 / 1,000 item scrapeds

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WeWorkRemotely Remote Jobs & Telecommute Careers Scraper

Try for free

Extract active remote job postings, hiring companies, tech categories, job descriptions, and direct apply links from WeWorkRemotely feeds.

Pricing

from $1.05 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

💼 WeWorkRemotely Remote Jobs & Telecommute Careers Scraper

Extract fresh, 100% remote job listings, hiring companies, tech categories, job descriptions, and apply URLs from WeWorkRemotely (WWR), the world's largest remote work community.

🥊 Why This Actor Beats the Competition

Feature	💼 This WWR Scraper	🐢 Traditional HTML Scrapers	🐌 Manual Job Hunting
Speed	100+ jobs / sec (Fast RSS/XML)	5–10 jobs / min (Puppeteer)	Hours of manual scrolling
Pricing	$1.50 / 1,000 jobs (PPR)	High hourly compute bills	High opportunity cost
Data Cleanliness	Company & Title split, clean text	Messy raw HTML containers	Unstructured copy-paste
Platform Usage	FREE (Zero compute charges)	Heavy CPU / RAM billable	N/A
Reliability	100% (Direct RSS feeds)	Breaks on CSS redesigns	High human friction

🛠️ Step-by-Step: How to Use

Method 1: Apify Console (No-Code UI)

Open the actor in the Apify Console.
Select your target Job Category (e.g. all, programming, design, devops, marketing).
Optionally enter a Keyword Search Filter (e.g. React, Senior, Python).
Set Max Jobs to Extract (e.g. 50).
Click Start to run and export to JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "category": "programming",
    "query": "React",
    "maxItems": 20
}
run = client.actor("litezero/weworkremotely-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['company']}: {item['title']} -> {item['url']}")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/weworkremotely-jobs-scraper').call({
    category: 'programming',
    maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

📥 Input Parameters

Parameter	Type	Default	Description
`category`	String (Select)	`"all"`	Job category (`all`, `programming`, `design`, `devops`, etc.).
`query`	String	`""`	Optional keyword filter in job title.
`maxItems`	Integer	`50`	Maximum jobs to return.

📤 Output Data Dictionary & Sample

{
  "title": "Senior Solutions Architect",
  "company": "Vercel",
  "category": "programming",
  "url": "https://weworkremotely.com/remote-jobs/vercel-senior-solutions-architect",
  "publishedAt": "Sat, 03 Oct 2026 07:31:20 +0000",
  "descriptionSnippet": "Vercel is looking for a Senior Solutions Architect to partner with enterprise clients...",
  "isRemote": true,
  "source": "WeWorkRemotely",
  "scrapedAt": "2026-10-04T05:50:00.000Z"
}

💡 Top Use Cases

AI Job Aggregators & Job Boards: Automate real-time ingestion of high-paying remote tech jobs for your specialized job board.
Talent Market Intelligence: Monitor hiring velocity and active tech stack requirements across remote-first startups and tech giants.
Automated Job Seeker Alerts: Build a Telegram/Slack webhook alerting you the instant an enterprise posts a matching remote role.

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