We Work Remotely Job Listings Scraper

Scrape job listings from WeWorkRemotely.com — the largest remote-only job board. Returns job titles, company names, salaries (parsed min/max), categories, employment types, location restrictions, and listing URLs for all ~180 current openings across 10 categories.

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We Work Remotely Scraper Features

• Extracts all active job listings from WeWorkRemotely.com in a single run
• Filters by category (Programming, Design, DevOps & Sysadmin, Sales & Marketing, and 6 others)
• Filters by employment type (Full-Time, Contract, Part-Time)
• Keyword search across job titles and tags
• Parses structured salary data — minimum, maximum, and currency — from free-text salary badges
• Returns company headquarters location when listed
• Includes company logo URLs for enriched display
• No proxies needed. No browser rendering. Fast, clean HTML extraction from a server-rendered site.

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What Can You Do With We Work Remotely Data?

• Recruiters & talent acquisition teams — Monitor remote job market trends, benchmark salary ranges, and identify which companies are actively hiring in a given category.
• Job aggregators and listing platforms — Ingest structured remote job data into your own job board or alert system without manual curation.
• Salary benchmarking tools — Extract salary ranges across roles and categories to power compensation analytics, especially useful for remote-first roles that often post salary openly.
• Workforce analytics researchers — Track hiring velocity by category, company size, or location restriction to understand remote work market shifts.
• Lead generation for B2B SaaS — Identify companies growing remote engineering or sales teams as high-intent prospects for tooling, HR platforms, or benefits providers.
• Career coaching and job-seeking tools — Build curated job feeds filtered by category and type for specific candidate profiles.

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How We Work Remotely Scraper Works

1. Configure your filters. Select a category (or leave empty for all categories), an employment type, and optionally a keyword to search job titles and tags.
2. The scraper fetches the listing pages. WWR's homepage groups all active jobs by category in clean server-rendered HTML — the scraper processes them in one efficient pass.
3. Data is extracted from each listing card. Job title, company name, headquarters, salary badge, location restriction, and tags are parsed from the HTML.
4. Results land in your dataset. Each record is a structured JSON object. Salary is parsed into numeric min/max fields with currency. Tags are pipe-separated strings.

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Input

{
  "category": "programming",
  "jobType": "full-time",
  "searchKeyword": "python",
  "maxItems": 50
}

Field	Type	Default	Description
category	String	All categories	Filter by job category. Options: programming, design, copywriting, devops-sysadmin, customer-support, sales-marketing, business-exec-management, finance-legal, product, all-other-remote.
jobType	String	All types	Filter by employment type. Options: full-time, contract, part-time.
searchKeyword	String	—	Search for jobs by keyword. Matches against job titles and tags.
listingUrls	Array	—	Specific We Work Remotely job listing URLs to scrape directly, bypassing category crawling.
maxItems	Integer	10	Maximum number of job listings to return. Set to 0 for unlimited.

Scrape a specific category with no limit:

{
  "category": "design",
  "maxItems": 0
}

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We Work Remotely Scraper Output Fields

{
  "job_title": "Senior Full Stack Engineer",
  "company_name": "Automattic",
  "company_logo_url": "https://we-work-remotely.imgix.net/logos/0001/0001/logo.gif?ixlib=rails-4.0.0&w=50&h=50",
  "category": "Back-End Programming",
  "job_type": "Full-Time",
  "salary_min": 120000,
  "salary_max": 170000,
  "salary_currency": "USD",
  "location_restriction": "Anywhere in the World",
  "description": null,
  "apply_url": null,
  "posted_date": null,
  "tags": "WordPress | PHP | React",
  "remote_type": "fully_remote",
  "company_hq": "San Francisco, CA",
  "listing_url": "https://weworkremotely.com/remote-jobs/automattic-senior-full-stack-engineer"
}

Field	Type	Description
job_title	String	Job title as listed on the posting
company_name	String	Name of the hiring company
company_logo_url	String	URL of the company logo image
category	String	Job category (Back-End Programming, Design, etc.)
job_type	String	Employment type (Full-Time, Contract, Part-Time)
salary_min	Number	Minimum salary parsed from the listing badge (annual)
salary_max	Number	Maximum salary parsed from the listing badge (annual)
salary_currency	String	Salary currency code (USD, EUR, GBP, etc.)
location_restriction	String	Geographic restriction or "Anywhere in the World" for unrestricted
description	String	Full job description text (currently null — detail pages require different access)
apply_url	String	Direct application URL (currently null — detail pages require different access)
posted_date	String	ISO 8601 posting date (currently null — not present on listing cards)
tags	String	Skill tags and badges from the listing card, pipe-separated
remote_type	String	Remote arrangement (fully_remote or hybrid)
company_hq	String	Company headquarters location when listed
listing_url	String	Full We Work Remotely listing URL

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FAQ

How many jobs does WeWorkRemotely.com have?

WeWorkRemotely.com maintains around 150-200 active job listings at any time across all categories. The site is curated rather than aggregated, so volume is lower than generalist boards — but listing quality is high and all roles are remote.

Why are description, apply_url, and posted_date null?

These fields are only available on individual job detail pages. The listing cards on category pages contain all commercially useful structured fields — title, company, salary, category, location, and tags. The null fields are included in the schema for completeness and forward compatibility.

Does this scraper need proxies?

No. WeWorkRemotely.com serves its listing pages as clean server-rendered HTML without requiring proxies. Set up and run in seconds.

How often should I run this scraper?

We Work Remotely posts new jobs daily while maintaining a stable total count. Running once or twice daily catches fresh listings. Use listing_url as a deduplication key across runs.

Can I scrape only a specific job category?

Yes. Set the category input to one of: programming, design, copywriting, devops-sysadmin, customer-support, sales-marketing, business-exec-management, finance-legal, product, or all-other-remote. Leave empty to scrape all categories.

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Need More Features?

Open a feature request or contact us through the Apify platform — we respond to all improvement suggestions.

Why Use We Work Remotely Scraper?

• Priced at $0.001/record — 12x cheaper than the leading PPE competitor ($0.012/item), and more cost-effective than flat-rate alternatives for typical run sizes.
• Structured salary parsing — salary_min, salary_max, and salary_currency extracted from free-text badges. Most competitors return raw salary strings that require post-processing.
• Category and type filters — target exactly the job segment you need without downloading everything and filtering client-side.
• No operational overhead — no proxy costs, no browser rendering, no rate limit tuning required.