WeWorkRemotely Jobs Scraper

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, posting 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

Parameter	Type	Required	Default	Description
search_urls	Array	No	[]	Multiple search URLs. Terms are combined with OR logic.
category	String	No	"all"	Category scope to collect from.
results_wanted	Integer	No	20	Maximum number of records to return.

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:

Field	Type	Description
title	String	Job title.
company	String	Company name.
category	String	Primary category label.
categories	Array	All category labels found for the listing.
location	String	Location or region details from listing content.
salary	String | null	Raw compensation text when available.
min_salary	Number | null	Parsed minimum salary when detectable.
max_salary	Number | null	Parsed maximum salary when detectable.
currency	String | null	Parsed currency code when detectable.
salary_interval	String | null	Parsed compensation interval (hour, year, etc.) when detectable.
job_type	String | null	Employment type signals (for example Contract, Full-Time) when detectable.
date_posted	String | null	Listing publish date string.
description_html	String | null	Rich listing description.
description_text	String | null	Plain text description.
url	String	Listing URL.
guid	String | null	Listing identifier value.
apply_url	String | null	Extracted apply URL.
company_website	String | null	Company website URL when available.
rss_creator	String | null	Creator metadata when available.
_source	String	Source marker for traceability.

---

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",
  "salary": "$120,000 - $160,000 per year",
  "min_salary": 120000,
  "max_salary": 160000,
  "currency": "USD",
  "salary_interval": "year",
  "job_type": "Full-Time",
  "date_posted": "Fri, 14 Feb 2026 12:31:45 +0000",
  "description_html": "<p>...</p>",
  "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 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.