WeWorkRemotely Jobs Scraper

Extract remote job listings from WeWorkRemotely in a clean, structured dataset. Collect job titles, companies, categories, locations, salary details, skills, descriptions, posting dates, expiry dates, and application links for research, analysis, monitoring, and hiring workflows.

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Features

• Remote job collection - Gather current listings from WeWorkRemotely across major job categories.
• Category filtering - Focus on programming, design, product, support, sales, marketing, finance, or other remote roles.
• Keyword filtering - Use search URLs to collect roles that match specific skills, titles, or hiring themes.
• Rich job records - Capture company, location, salary, skills, job type, dates, descriptions, and links.
• Duplicate control - Keep the dataset cleaner by removing repeated jobs across category views.
• Ready exports - Download results as JSON, CSV, Excel, XML, or connect them to Apify integrations.

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Use Cases

Remote Job Market Research

Track which roles are being posted most often and compare demand across categories. Use repeat runs to monitor changes in remote hiring activity over time.

Salary and Compensation Analysis

Collect compensation text and parsed salary fields when listings provide them. This helps analysts compare pay ranges by role type, company segment, or category.

Talent Sourcing

Build lists of companies actively hiring remote workers. Recruiters and sourcing teams can use titles, skills, locations, and apply links to create focused outreach workflows.

Competitive Hiring Intelligence

Monitor how competitors and similar companies describe remote roles. Compare job titles, skill requirements, and hiring regions to understand market positioning.

Niche Role Discovery

Filter by terms such as Python, React, customer success, DevOps, AI, or product manager. This helps uncover targeted opportunities without manually checking the site every day.

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Input Parameters

Parameter	Type	Required	Default	Description
search_urls	Array	No	[]	Optional WeWorkRemotely search URLs. Search terms from these URLs are used as keyword filters.
category	String	No	"all"	Category to collect. Use "all" for broad collection across available categories.
results_wanted	Integer	No	20	Maximum number of job records to save.

Category Values

• all
• remote-full-stack-programming-jobs
• remote-front-end-programming-jobs
• remote-back-end-programming-jobs
• remote-design-jobs
• remote-devops-sysadmin-jobs
• remote-management-and-finance-jobs
• remote-product-jobs
• remote-customer-support-jobs
• remote-sales-and-marketing-jobs
• all-other-remote-jobs

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Output Data

Each dataset item can contain:

Field	Type	Description
title	String	Job title.
company	String	Hiring company name.
category	String	Primary job category.
categories	Array	All category labels found for the listing.
location	String	Normalized location or remote region.
region	String	Region listed for the job, when available.
country	String	Country listed for the job, when available.
state	String	State or province listed for the job, when available.
salary	String	Original compensation text, when available.
min_salary	Number	Parsed minimum salary, when detectable.
max_salary	Number	Parsed maximum salary, when detectable.
currency	String	Parsed salary currency, when detectable.
salary_interval	String	Salary period such as year, month, week, day, or hour.
job_type	String	Employment type such as Full-Time, Part-Time, Contract, or Freelance.
skills	Array	Skills or keywords included in the listing.
date_posted	String	Date the job was posted.
expires_at	String	Expiry date, when available.
description_html	String	Clean formatted job description.
description_text	String	Plain text job description.
url	String	WeWorkRemotely job listing URL.
guid	String	Listing identifier.
apply_url	String	Application URL, when available.
company_website	String	Company website, when available.
rss_creator	String	Creator metadata, when available.
_source	String	Source label for traceability.

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Usage Examples

Basic Collection

Collect the first 20 jobs across all supported categories:

{
  "category": "all",
  "results_wanted": 20
}

Category Collection

Collect backend programming jobs only:

{
  "category": "remote-back-end-programming-jobs",
  "results_wanted": 50
}

Keyword Filtering

Collect jobs that match either Python or Golang search intent:

{
  "search_urls": [
    "https://weworkremotely.com/remote-jobs/search?term=python",
    "https://weworkremotely.com/remote-jobs/search?term=golang"
  ],
  "category": "all",
  "results_wanted": 100
}

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Sample Output

{
  "title": "Senior Backend Engineer",
  "company": "Example Labs",
  "category": "Back-End Programming",
  "categories": ["Back-End Programming"],
  "location": "United States",
  "region": "Anywhere in the World",
  "salary": "$120,000 - $160,000 per year",
  "min_salary": 120000,
  "max_salary": 160000,
  "currency": "USD",
  "salary_interval": "year",
  "job_type": "Full-Time",
  "skills": ["Node.js", "PostgreSQL", "AWS"],
  "date_posted": "Fri, 14 Feb 2026 12:31:45 +0000",
  "expires_at": "Sun, 14 Mar 2026 12:31:45 +0000",
  "description_html": "Clean formatted job description",
  "description_text": "About the role: Build and maintain backend systems.",
  "url": "https://weworkremotely.com/remote-jobs/example-labs-senior-backend-engineer",
  "guid": "https://weworkremotely.com/remote-jobs/example-labs-senior-backend-engineer",
  "apply_url": "https://weworkremotely.com/remote-jobs/example-labs-senior-backend-engineer",
  "company_website": "https://examplelabs.com",
  "_source": "weworkremotely"
}

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Tips for Best Results

Start With All Categories

• Use category: "all" when you want a broad market snapshot.
• Switch to a specific category when you need a cleaner niche dataset.

Use Practical Result Limits

• Start with 20 to 50 records while testing your input.
• Increase results_wanted for reporting, dashboards, or recurring monitoring.

Add Search URLs for Intent

• Use one search URL for a narrow skill or role.
• Use multiple search URLs when you want OR-style matching across several terms.

Expect Some Empty Fields

• Some companies do not publish salary, job type, or website details.
• Empty fields usually mean the listing did not provide that information.

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Integrations

Connect your job data with:

• Google Sheets - Review, filter, and share job datasets.
• Airtable - Build searchable hiring and market research databases.
• Slack - Send fresh job alerts to channels.
• Webhooks - Push results into internal systems.
• Make - Create no-code automations from new listings.
• Zapier - Trigger actions in CRM, email, or reporting tools.

Export Formats

• JSON - For apps, APIs, and developers.
• CSV - For spreadsheets and simple analysis.
• Excel - For business reporting.
• XML - For structured data exchange.

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Frequently Asked Questions

Can I collect more than 20 jobs?

Yes, set results_wanted to the number of records you need. Larger runs are useful for market snapshots and recurring reports.

Can I scrape only one job category?

Yes, set category to one of the supported category values. Use all when you want the broadest collection.

Can I filter jobs by keyword?

Yes, add one or more WeWorkRemotely search URLs in search_urls. The actor extracts the search terms and keeps matching listings.

Why are some salary fields empty?

Some listings do not include compensation information. Salary fields are filled only when the listing provides clear salary text.

Are duplicate jobs removed?

Yes, duplicate listings are removed by job URL. This helps keep multi-category runs clean.

What can I do with the results?

You can export the dataset, connect it to Apify integrations, load it into spreadsheets, send it to dashboards, or use it in sourcing workflows.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for complying with applicable laws, website terms, and internal data policies. Use collected data responsibly and respect reasonable collection limits.