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We Work Remotely Jobs Scraper

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from $1.00 / 1,000 results

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We Work Remotely Jobs Scraper

We Work Remotely Jobs Scraper

[๐Ÿ’ฐ $1.0 / 1K] Extract remote job listings from We Work Remotely. Filter by keyword, category, region, employment type, and recency. Get titles, companies, salaries, descriptions, and apply links.

Pricing

from $1.00 / 1,000 results

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SolidCode

SolidCode

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1

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2 days ago

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Extract every remote job posted on We Work Remotely โ€” title, company, region, salary, employment type, posting date, full description, and apply link โ€” in one structured dataset. Built for recruiters sourcing remote candidates, job-board aggregators, salary-data analysts, and ATS integrations that need fresh remote-job data without crawling listing pages by hand.

Why This Scraper?

  • All 11 official We Work Remotely categories โ€” Full-Stack, Front-End, Back-End, Software Developer, Design, DevOps & Sysadmin, Management & Finance, Product, Customer Support, Sales & Marketing, and All Other Remote Jobs, each selectable from a dropdown.
  • 5 region presets that respect "Anywhere in the World" โ€” Anywhere, USA Only, Americas, EMEA, and APAC. Each preset is applied first against the listing card badge, then re-checked against the JSON-LD applicantLocationRequirements on the detail page so worldwide-eligible jobs are never silently dropped from a US-only run.
  • Parsed salary into salaryMin, salaryMax, salaryCurrency, and salaryInterval โ€” pulled from the JobPosting structured data, with the raw human-readable string preserved as salaryRaw. Compensation is spreadsheet-ready, not a free-text blob.
  • 3 employment-type options + 5 "posted within" windows โ€” Full-Time or Contract; 24 hours, 3 days, 7 days, 30 days, or Any time. Filters apply both pre-fetch (cheap card scan) and post-fetch (authoritative JSON-LD).
  • includeDescription toggle for cheap light-mode scans โ€” turn full descriptions off to skim hundreds of jobs at a fraction of the cost, or leave it on for the full descriptionText, descriptionHtml, parsed salary, and companyWebsite.
  • Keyword search across title, company, and description โ€” uses the native We Work Remotely search and falls back to a category sweep for the Software Developer slug (which the site's own search dropdown silently excludes).
  • startUrls accepts any We Work Remotely category or search URL โ€” paste a saved filter URL directly and bypass the form entirely.
  • Cross-category deduplication โ€” a job tagged Full-Stack and Front-End appears exactly once, deduped on the canonical detail URL.
  • Skill and country tags surfaced as a categories array โ€” every chip on the listing card (AngularJS, PHP, Top 100, country names) is captured alongside the primary category.

Use Cases

Recruitment & Talent Sourcing

  • Build a daily feed of new remote Senior Engineer roles in a target stack
  • Surface contract-only postings for a freelance bench
  • Track competing remote employers hiring for the same role
  • Identify worldwide-eligible jobs to widen your candidate funnel

Market & Salary Research

  • Benchmark remote salaries by category and region with parsed salaryMin/salaryMax
  • Track the share of Full-Time vs. Contract roles over time
  • Measure hiring velocity by counting postedWithin=24h snapshots day over day
  • Compare which categories pay annually vs. hourly using salaryInterval

Job Board & Aggregator Operations

  • Power a niche remote-jobs vertical with a clean, deduped feed
  • Cross-post curated remote roles into a Slack or Discord community
  • Auto-update a static jobs site from a scheduled We Work Remotely pull
  • Run keyword digests (e.g. "rust", "Postgres", "Figma") on a daily schedule

ATS & CRM Enrichment

  • Enrich a CRM of remote-friendly companies with their currently open roles
  • Feed company logos and websites into a partner database
  • Stream new postings into Zapier for inbox or Slack alerts
  • Match candidate profiles against fresh JobPosting structured data

Getting Started

Minimal โ€” one category, default cap

{
"categories": ["remote-full-stack-programming-jobs"],
"maxResults": 25
}

Keyword + region filter

{
"searchQuery": "rust",
"region": "usa",
"maxResults": 50
}

Multi-category, last 7 days

{
"categories": [
"remote-full-stack-programming-jobs",
"remote-customer-support-jobs"
],
"postedWithin": "7",
"maxResults": 100
}

Direct URL, light mode (no descriptions)

{
"startUrls": [
"https://weworkremotely.com/categories/remote-customer-support-jobs"
],
"includeDescription": false,
"maxResults": 30
}

Input Reference

ParameterTypeDefaultDescription
searchQuerystring""Free-text keyword such as 'python', 'designer', or 'marketing manager'. Matches against job title, company, and description. Leave empty for no keyword filter.
categoriesstring[][]Pick one or more job categories. Leave empty to include all categories. Options: Full-Stack Programming, Front-End Programming, Back-End Programming, Software Developer (general), Design, DevOps & Sysadmin, Management & Finance, Product, Customer Support, Sales & Marketing, All Other Remote Jobs.
regionselectAny regionGeographic eligibility filter. We Work Remotely tags each listing with a region. Options: Any region, Anywhere in the World, USA Only, Americas Only, EMEA Only, APAC Only.
employmentTypeselectAnyFilter by employment type. Options: Any, Full-Time, Contract.
postedWithinselectAny timeOnly show jobs posted within this time window. Options: Any time, Last 24 hours, Last 3 days, Last 7 days, Last 30 days.
startUrlsstring[][]Optional. Paste full We Work Remotely search or category URLs (e.g., https://weworkremotely.com/categories/remote-design-jobs) to use them directly. When provided, the keyword, categories, region, and employment-type fields above are ignored.

Results

ParameterTypeDefaultDescription
maxResultsinteger100Maximum number of jobs to collect across all categories/URLs in this run. Set to 0 for no cap.
includeDescriptionbooleantrueFetch the full description, parsed salary, apply URL, and company website from each listing's detail page. Disable for faster light scans โ€” descriptionHtml, descriptionText, applyUrl, salary fields, and companyWebsite will be left null.

Output

Each result is a flat one-row-per-job record. Here is a representative row with includeDescription: true:

{
"url": "https://weworkremotely.com/remote-jobs/lemon-io-senior-full-stack-angular-php-developer",
"guid": "lemon-io-senior-full-stack-angular-php-developer",
"title": "Senior Full-stack Angular & PHP Developer",
"company": "Lemon.io",
"companyWebsite": "https://lemon.io",
"category": "remote-full-stack-programming-jobs",
"categories": ["Top 100", "Albania", "Bosnia and Herzegovina", "Full-Stack Programming", "AngularJS", "PHP", "Laravel", "TypeScript"],
"region": "Argentina",
"location": "New York, NY",
"employmentType": "Full-Time",
"salaryRaw": "$100,000 or more USD",
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": "USD",
"salaryInterval": "year",
"datePosted": "2026-05-15T07:36:54+00:00",
"descriptionText": "Are you a talented Senior Developer looking for a remote job...",
"applyUrl": null,
"companyLogo": "https://we-work-remotely.imgix.net/logos/lemon-io.png",
"scrapedAt": "2026-05-16T01:13:19.262591+00:00"
}

Core Job Info

FieldTypeDescription
urlstringCanonical We Work Remotely job detail URL
guidstringStable slug used as a unique identifier across runs
titlestringJob title
companystringHiring company name
categorystringPrimary category slug the job was discovered under
categoriesstring[]All tags surfaced on the listing card and detail page (skills, countries, badges)
regionstringExact region badge from the listing โ€” granular country names ("Argentina", "United States of America") or worldwide-eligibility labels ("Anywhere in the World", "USA only"). Note the asymmetry with the region input filter, which has 5 coarse presets โ€” filtering by usa still surfaces rows whose region reads "United States of America" (specific) or "Anywhere in the World" (worldwide-eligible). Both are legitimately US-eligible.
locationstringFree-text company headquarters from the listing card
employmentTypestringNormalized "Full-Time" or "Contract"
datePostedstringISO timestamp of when the job was posted
scrapedAtstringISO timestamp of data extraction

Salary & Compensation

FieldTypeDescription
salaryRawstringHuman-readable salary string as displayed on the listing (e.g. "$100,000 or more USD")
salaryMinnumberParsed minimum salary value
salaryMaxnumberParsed maximum salary value
salaryCurrencystringThree-letter currency code (e.g. "USD", "EUR")
salaryIntervalstringPay interval (year, month, week, day, hour)

Company & Description

FieldTypeDescription
companyWebsitestringCompany homepage URL from the JobPosting structured data
companyLogostringCompany logo image URL
descriptionTextstringPlain-text job description
descriptionHtmlstringOriginal HTML job description with formatting preserved
applyUrlstringDirect apply link (We Work Remotely gates this behind login; usually null โ€” use companyWebsite as the substitute)

Tips for Best Results

  • Start with maxResults: 25 on your first run to confirm the filter combo returns what you expect, then scale up.
  • Use includeDescription: false for cheap snapshots โ€” counts, titles, companies, regions, and card-level salaries come back in a single page hit per category, no detail fetch.
  • For salary research, set one category at maxResults: 0 and filter the resulting spreadsheet on salaryCurrency โ€” you get a complete cross-section without configuring pagination.
  • To monitor a niche keyword, schedule the actor daily with postedWithin: "1" and searchQuery set to your term โ€” each run returns only fresh postings from the last 24 hours.
  • Cross-reference region: "anywhere" against region: "usa" to surface roles that are worldwide-eligible but specifically include the US, versus roles that are US-only.
  • Paste a saved filter URL into startUrls to bypass the form โ€” the actor preserves your category and search-term selection exactly as the site interprets them.
  • applyUrl is gated behind a We Work Remotely login and will be null in the output. The companyWebsite field is the closest direct-application substitute.

Pricing

$1.00 per 1,000 results โ€” pay only for what you get. No compute charges โ€” you only pay per result returned.

ResultsCost
100$0.10
1,000$1.00
10,000$10.00
100,000$100.00

A "result" is any job row in the output dataset. Platform fees (compute, storage) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

  • Zapier / Make / n8n โ€” Workflow automation
  • Google Sheets โ€” Direct spreadsheet export
  • Slack / Email โ€” Notifications on new postings
  • Webhooks โ€” Custom API integrations
  • Apify API โ€” Full programmatic access

This actor is designed for legitimate recruitment research, market analysis, and job-aggregation use cases. Users are responsible for complying with applicable laws and We Work Remotely's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose. Respect candidate privacy and the hiring company's stated application channels.