We Work Remotely Scraper — Remote Job Listings, Salaries & Company Data

Extract remote job listings from We Work Remotely — job titles, companies, salary ranges, tags, categories, application URLs and posting dates. Track remote job trends, salary ranges and hiring companies across the largest remote-work job board.

Main Use Cases

• Remote job market research — track job posting trends, salary ranges and in-demand skills
• Recruiting intelligence — identify companies actively hiring remotely
• Salary benchmarking — compare compensation across remote roles and companies
• Job alert automation — monitor new listings matching specific criteria
• Competitive analysis — track which companies are investing in remote talent
• Talent pipeline building — collect structured job data for recruiting outreach

Output Fields

Field	Type	Description
title	string	Job title
company	string	Company name
url	string	Job listing URL
category	string	Job category (Programming, Design, etc.)
tags	array	Skill tags (Python, React, etc.)
salary	string	Salary range (if disclosed)
salaryMin	integer	Minimum salary (parsed)
salaryMax	integer	Maximum salary (parsed)
location	string	Location (usually "Remote")
jobType	string	Full-time, Part-time, Contract
postedDate	string	Date posted
applicationUrl	string	Apply link
description	string	Job description excerpt
scrapedAt	string	Extraction timestamp

Example Output

{
  "title": "Senior Frontend Developer",
  "company": "Acme Corp",
  "url": "https://weworkremotely.com/jobs/12345",
  "category": "Programming",
  "tags": ["JavaScript", "React", "TypeScript"],
  "salary": "$120,000 - $160,000/year",
  "salaryMin": 120000,
  "salaryMax": 160000,
  "location": "Remote",
  "jobType": "Full-time",
  "postedDate": "2026-08-28",
  "applicationUrl": "https://example.com/apply",
  "description": "We're looking for a senior frontend developer...",
  "scrapedAt": "2026-08-30T12:00:00Z"
}

Input

Field	Type	Default	Notes
startUrls	array	required	We Work Remotely listing/search URLs
maxItems	integer	100	Max job listings to extract
proxy	object	DATACENTER	Residential optional

How It Works

1. You provide We Work Remotely listing or search URLs
2. The actor navigates through job listings
3. It extracts job details from each listing page
4. Salary parsing converts ranges to min/max integers
5. Results are saved to an Apify dataset

FAQ

Does We Work Remotely show salary data?

Some listings include salary ranges. The actor parses these into structured min/max fields when available.

Can I filter by category?

Yes. Set the URL to include category filters (e.g. Programming, Design, Marketing).

How fresh is the data?

The actor extracts currently active listings. Run it periodically (daily/weekly) to track new postings.

For AI Agents & LLM Apps

Purpose: Extract remote job listings from We Work Remotely — titles, companies, salaries, tags, categories.

Minimal working input:

{
  "startUrls": [{ "url": "https://weworkremotely.com/categories/remote-programming-jobs" }],
  "maxItems": 20
}

Output fields: title, company, url, category, tags, salary, salaryMin, salaryMax, location, jobType, postedDate, applicationUrl, description, scrapedAt.

Behaviors an agent should know:

• startUrls is required — accepts listing or search URLs.
• salaryMin/salaryMax are only populated when salary data is available.
• Categories include: Programming, Design, Marketing, Customer Support, DevOps, etc.
• Tags are extracted from listing metadata.

Billing: Free.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by We Work Remotely. It accesses only publicly available listing pages. You are responsible for compliance with We Work Remotely's Terms of Service and applicable law.

SEO Keywords

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