WeWorkRemotely Jobs Scraper

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Extract remote job listings from WeWorkRemotely quickly and reliably. Collect role details, company information, compensation signals, categories, and application links in structured output ready for analysis, monitoring, and automation. Ideal for hiring teams, market researchers, and job intelligence workflows.

Features

• High-volume collection — Collect well beyond 100 jobs in a single run.
• Search URL filtering — Use one or many search URLs to narrow results by keyword intent.
• Rich job records — Capture title, company, location, compensation, skills, expiry date, and apply URL.
• Smart deduplication — Prevent duplicate records across category sources.
• Clean structured output — Exportable dataset ready for BI, alerts, and downstream pipelines.

Use Cases

Job Market Intelligence

Track demand across role types, categories, and locations. Monitor how hiring trends shift over time with repeatable snapshots.

Compensation Benchmarking

Analyze available salary signals across listings and compare compensation patterns by category and company segment.

Candidate Outreach Research

Identify hiring companies, map active roles, and build focused outreach lists using job and company-level fields.

Remote Hiring Operations

Support talent teams with fresh datasets for sourcing, reporting, and recurring hiring dashboards.

Niche Opportunity Discovery

Filter by search intent (for example specific skills) to discover less obvious openings and sub-markets.

Input Parameters

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

Output Data

Each item in the dataset contains:

Usage Examples

Basic Collection

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

Category-Focused Collection

{
"category":"remote-back-end-programming-jobs",
"results_wanted":20
}

Search URL Filtering (Multiple)

{
"search_urls":[
"https://weworkremotely.com/remote-jobs/search?term=python",
"https://weworkremotely.com/remote-jobs/search?term=golang"
],
"category":"all",
"results_wanted":20
}

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",
"country":null,
"state":null,
"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":"<p><strong>About the role</strong></p><ul><li>Build backend systems</li></ul>",
"description_text":"...",
"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",
"rss_creator":null,
"_source":"weworkremotely-rss-api"
}

Tips for Best Results

Start Broad, Then Narrow

• Run with category: "all" to build a large baseline dataset.
• Add search_urls to focus on specific skills and roles.

Request Sufficient Volume

• Use results_wanted above 100 for broader market snapshots.
• Increase limits for periodic reporting and trend tracking.

Expect Natural Nulls

• Some listings do not publish compensation or employment type.
• Null values indicate source-side absence rather than extraction failure.

Use Repeated Runs for Monitoring

• Schedule recurring runs to detect newly posted jobs and changes over time.

Integrations

• Google Sheets — Analyze listings with pivot tables and filters.
• Airtable — Build searchable hiring databases.
• Slack — Push fresh-job alerts to channels.
• Webhooks — Send results into custom systems.
• Make — Build no-code automation workflows.
• Zapier — Trigger downstream business actions.

Export Formats

• JSON — Developer-friendly structured data.
• CSV — Spreadsheet-ready rows.
• Excel — Business reporting format.
• XML — Structured interchange format.

Frequently Asked Questions

Why are some salary fields null?

Not all listings include compensation details. When compensation is present and parseable, salary fields are populated.

Why does description_html not contain links or page wrappers?

The dataset keeps only safe content tags such as paragraphs, lists, headings, and emphasis tags so the description stays readable and easy to reuse.

Why is job_type null on some records?

Employment type is only filled when the listing includes clear type signals.

Can I collect more than 100 jobs?

Yes. Set results_wanted above 100 to return larger datasets.

Can I pass multiple search URLs?

Yes. Use search_urls; matching uses OR logic across extracted terms.

Are duplicate jobs removed?

Yes. Records are deduplicated by listing URL.

Support

For issues or feature requests, open a request through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

Legal Notice

This actor is intended for legitimate data collection. You are responsible for complying with applicable laws and platform terms, and for responsible use of collected data.