We Work Remotely Scraper — Remote Jobs

We Work Remotely Scraper — Remote Jobs, Companies, Regions & Descriptions 🌐

Extract 100% remote job listings, company profiles, regional hiring requirements, and complete job descriptions from We Work Remotely at scale — no coding, no login, and no browser overhead. This enterprise-grade We Work Remotely scraper extracts clean, structured remote-work data across all technical and non-technical categories: hiring company name, job title, geographical eligibility region (e.g. Anywhere in the World, USA Only, Europe Only), job category taxonomy, company corporate headquarters, company website/application link, full plain-text job description, posting ID, published date, and direct application URL.

Export clean datasets directly to JSON, CSV, Excel, XML, or ingest via the Apify REST API, Python SDK, or Node.js client.

Built for remote job board aggregators, recruitment agencies, tech talent sourcers, labor market researchers, B2B lead generators, and HR tech platforms.

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⚡ At a glance

Feature	Specification
Data Source	We Work Remotely (weworkremotely.com) remote employment portal
Coverage Scope	All technical, creative, sales, executive, and support remote categories
Input Flexibility	Accepts full category URLs, short category slugs, or empty run for all categories
Output Formats	JSON, CSV, XLSX, XML, RSS, HTML Table
Data Granularity	Full plain-text job description (clean text, no HTML tags, ~4,000–8,000 chars)
Differentiators	Isolated Company HQ and Company Apply URL parsed from job postings
Deduplication	Strict entity deduplication across cross-listed multi-category jobs
Throughput Speed	~50–100 remote jobs per second
Default Proxy	Datacenter Apify Proxy (fully supported out of the box)

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🔎 Why scrape We Work Remotely?

We Work Remotely (WWR) is the original and most visited remote-work community on the web, hosting active job postings from pioneering distributed companies, high-growth tech startups, and multinational software enterprises (such as Automattic, GitLab, Databricks, DuckDuckGo, and Basecamp).

Unlike general job aggregators that mislabel hybrid or on-site roles as "remote-friendly," every single listing on We Work Remotely is 100% remote by contract:

1. Pre-Filtered Remote Purity: Zero clutter from local hybrid positions or mandatory office commutes.
2. Clear Regional Guardrails: Every listing explicitly states whether candidates must reside in Anywhere in the World, USA Only, Europe Only, or specific time zones.
3. High-Growth Corporate Signals: Companies paying premium fees to list on WWR have active recruitment budgets, venture backing, and distributed hiring initiatives.
4. Complete Job Descriptions: Listings include comprehensive responsibilities, requirement checklists, tech stacks, and company perks.

Manual harvesting from WWR is time-consuming and fragile. Listings are scattered across a dozen distinct category hubs, requiring endless navigation and copy-pasting.

This We Work Remotely jobs scraper extracts, cleans, deduplicates, and structures all current openings across every category into a unified data table in seconds.

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🚀 Key features & capabilities

• 🎯 All Job Categories Supported: Scrape Programming (Full-Stack, Backend, Frontend), DevOps & Sysadmin, Product Design, Customer Support, Sales & Marketing, Management & Finance, Product Management, and Copywriting.
• 🌍 Geographic Region Filtering: Capture whether a position accepts candidates worldwide or restricts hiring to specific countries or continents.
• 🏢 Company Firmographics: Isolates the hiring organization's global headquarters (headquarters) and primary company URL (companyUrl).
• 📝 Clean Plain-Text Descriptions: Automatically strips HTML tags, decodes special entities, and cleans formatting to yield clean, LLM-ready markdown/text descriptions.
• 🔄 Unlocked 1,000+ Deep Pagination: Smoothly traverses through all category feeds to export exhaustive job boards without arbitrary item cutoffs.
• 🛡️ Cross-Category Deduplication: Guarantees that roles listed in multiple categories (e.g. Full-Stack and DevOps) are emitted only once, avoiding duplicate rows in your downstream pipeline.
• ⚡ Ultra-Fast & Cost-Effective: Operates without browser bloat, pulling hundreds of enriched job listings in under 30 seconds for a fraction of a cent.

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📊 Extracted fields & data dictionary

Every record returned by the scraper contains complete job metadata:

💼 Position & Organization

Field	Type	Description	Coverage
company	String	Hiring company or organization name	🟢 High (100%)
jobTitle	String	Clean position title	🟢 High (100%)
region	String	Allowed candidate location (e.g. Anywhere in the World, USA Only)	🟢 High (100%)
category	String	Job functional category or specialized department	🟢 High (100%)
headquarters	String	Physical city/country of corporate headquarters	🟢 High (95%)
companyUrl	String	External website or direct applicant portal link	🟢 High (90%)

📄 Job Description & System Metadata

Field	Type	Description	Coverage
description	String	Comprehensive plain-text job requirements and overview	🟢 High (100%)
jobId	String	Unique WWR job posting identifier / slug	🟢 High (100%)
url	String	Canonical URL to the live job posting on We Work Remotely	🟢 High (100%)
publishedDate	String	Original publication date and time	🟢 High (100%)
scrapedAt	String	ISO 8601 data collection timestamp	🟢 High (100%)

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💻 Sample output (JSON)

{
  "company": "Sticker Mule",
  "jobTitle": "Senior Full-Stack Engineer",
  "region": "Anywhere in the World",
  "category": "Full-Stack Programming",
  "headquarters": "Amsterdam, New York",
  "companyUrl": "https://www.stickermule.com",
  "description": "Sticker Mule is looking for a talented Senior Full-Stack Engineer to help build delightful e-commerce experiences for millions of customers worldwide.\n\nResponsibilities:\n- Design, develop, and maintain performant web applications using TypeScript, React, and Node.js.\n- Collaborate closely with product managers and UX designers to ship high-impact features weekly.\n- Optimize PostgreSQL queries and Redis caching layers for high-concurrency checkout flows.\n\nRequirements:\n- 5+ years of production experience in modern full-stack web development.\n- Deep familiarity with distributed systems, RESTful APIs, and cloud deployments.\n- Strong written communication skills and comfort working asynchronously across global time zones.",
  "jobId": "1049281",
  "url": "https://weworkremotely.com/remote-jobs/sticker-mule-senior-full-stack-engineer",
  "publishedDate": "Mon, 09 Nov 2026 14:20:00 +0000",
  "scrapedAt": "2026-11-10T14:50:00.000Z"
}

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🎯 High-impact use cases

1. Powering Automated Remote Job Boards

Feed fresh, deduplicated job postings directly into your specialized niche job portal (e.g. "Remote Elixir Jobs" or "Europe-Only Tech Careers") using Apify scheduled tasks and Webhooks.

2. B2B Sales Prospecting & Agency Lead Generation

Companies that actively hire remote developers, designers, and marketers are expanding operations and investing in tools. Reach out to offer distributed HR software, developer tooling, contractor payroll services, or design agency support.

3. Recruitment Sourcing & Talent Matching

Staffing agencies and headhunters can monitor newly posted roles to identify companies struggling with hard-to-fill technical vacancies, presenting pre-vetted candidates before competitors reach out.

4. Labor Market & Compensation Research

Mine thousands of job descriptions for emerging technology requirements (e.g. AI agents, Rust, vector databases) and regional hiring shifts (e.g. growth of LATAM vs EMEA remote hiring).

5. AI Training Corpora & Resume Matching Models

Use cleaned, structured job description texts to train NLP classification algorithms, resume-scoring systems, and semantic job recommendation engines.

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⚙️ Input configuration

Field	Type	Default	Description
startUrls	Array[String]	Popular Categories	List of WWR category URLs or slugs to scrape. Leave empty to crawl all major categories.
maxItems	Integer	0	Total maximum jobs across all categories. 0 = unlimited (governed by total available postings).
proxyConfiguration	Object	Datacenter	Apify Proxy configuration. Datacenter proxy provides high reliability and speed.

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🗺️ Supported category URLs reference

You can paste any of the following URLs or simple slugs into startUrls:

Category Name	Full Category URL	Category Slug
Programming (All)	https://weworkremotely.com/categories/remote-programming-jobs	remote-programming-jobs
Design	https://weworkremotely.com/categories/remote-design-jobs	remote-design-jobs
DevOps & Sysadmin	https://weworkremotely.com/categories/remote-devops-sysadmin-jobs	remote-devops-sysadmin-jobs
Customer Support	https://weworkremotely.com/categories/remote-customer-support-jobs	remote-customer-support-jobs
Sales & Marketing	https://weworkremotely.com/categories/remote-sales-and-marketing-jobs	remote-sales-and-marketing-jobs
Management & Finance	https://weworkremotely.com/categories/remote-management-and-finance-jobs	remote-management-and-finance-jobs
Product	https://weworkremotely.com/categories/remote-product-jobs	remote-product-jobs
Copywriting	https://weworkremotely.com/categories/remote-copywriting-jobs	remote-copywriting-jobs
Exec & Business	https://weworkremotely.com/categories/remote-business-exec-management-jobs	remote-business-exec-management-jobs

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🛠️ Code examples

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.getenv("APIFY_TOKEN"))

run_input = {
    "startUrls": [
        "https://weworkremotely.com/categories/remote-programming-jobs",
        "https://weworkremotely.com/categories/remote-devops-sysadmin-jobs"
    ],
    "maxItems": 100,
}

run = client.actor("haketa/weworkremotely-scraper").call(run_input=run_input)
jobs = client.dataset(run["defaultDatasetId"]).list_items().items

for job in jobs:
    print(f"[{job.get('region')}] {job.get('company')} — {job.get('jobTitle')} ({job.get('headquarters')})")

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: process.env.APIFY_TOKEN,
});

const run = await client.actor('haketa/weworkremotely-scraper').call({
    startUrls: ['https://weworkremotely.com/categories/remote-programming-jobs'],
    maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Scraped ${items.length} remote developer positions!`);

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💡 Practical tips for optimal runs

• Scrape All Roles: Leave startUrls empty or supply empty array [] to automatically crawl all nine core remote categories across the entire platform.
• Filter by Worldwide Eligibility: In your downstream database or Google Sheet, filter on region: "Anywhere in the World" for positions open to global applicants without residency restrictions.
• Deduplication Across Categories: If a hiring company posts a role in both Programming and DevOps, the actor's internal deduplication ensures it appears only once in your export.
• Automated Alerts: Connect the actor to Slack via Make or Zapier to receive instant alerts whenever high-profile tech brands publish new positions.

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❓ Frequently asked questions (FAQ)

Are all jobs scraped from We Work Remotely truly remote?

Yes. We Work Remotely exclusively accepts 100% remote positions. There are no mandatory on-site office requirements for any listing on the platform.

How does the region field work?

Companies define geographic eligibility in the region property. Common values include Anywhere in the World, USA Only, Europe Only, Americas Only, or specific state/country combinations.

Does the scraper extract the full job description?

Yes. Unlike simple job board scrapers that only extract brief summaries, this actor captures the entire job description text (typically 3,000 to 10,000 characters) with HTML markup cleanly stripped.

How many jobs can I scrape in a single execution?

You can scrape all currently active positions across all platform categories. With maxItems: 0, the scraper extracts every live listing (typically 400 to 800+ total roles across the site).

What export formats are supported?

You can download scraped listings from the Apify Console as JSON, CSV, Microsoft Excel (XLSX), XML, or an HTML table. You can also fetch records directly via the Apify Dataset API.

Does this scraper require a We Work Remotely account?

No. The scraper queries publicly available category directories without requiring an account, employer login, or paid subscription.

Can I schedule automatic daily updates?

Yes. Use the Apify Schedules feature to execute the scraper automatically every morning, ensuring your job board or recruiting pipeline always has the newest listings.

How fresh is the data?

Data is fetched live at the moment of execution. The publishedDate field gives the exact timestamp when the employer published the role.

Does the scraper work with Apify Proxy?

Yes. Apify Datacenter Proxy is supported and enabled by default, ensuring high reliability and rapid network response times.

How do I get only technical or developer jobs?

Supply https://weworkremotely.com/categories/remote-programming-jobs and https://weworkremotely.com/categories/remote-devops-sysadmin-jobs in startUrls.

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🔄 Integrations & automated workflows

Live Remote Job Board Sync (Airtable / Webflow)

1. Configure an Apify scheduled run to execute every 6 hours.
2. Connect Apify to Webflow via Make (Integromat).
3. Map jobTitle ➔ Title, company ➔ Employer, region ➔ Location, description ➔ Rich Text, url ➔ Application Link.
4. Keep your Webflow remote job board completely automated without manual publishing.

Slack / Discord Hiring Alerts

1. Set up an Apify Webhook that triggers upon actor completion.
2. Filter for roles where region contains "Anywhere in the World".
3. Post formatted markdown alerts to your community Discord or company recruitment Slack channel.

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📈 Performance & scalability benchmarks

Scope	Category Feeds	Approx. Execution Time	Memory Required	Est. Cost Profile
50 jobs (Single Category)	1 Category	~5–10 seconds	512 MB	~$0.001
150 jobs (Core Tech)	3 Categories	~15–25 seconds	512 MB	~$0.003
400+ jobs (Full Platform)	All Categories	~35–60 seconds	512 MB	~$0.007

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🔗 Related scrapers

• Welcome to the Jungle Company Scraper — Tech company firmographics, stack & hiring signals.
• Eventbrite Scraper — Extract business events and organizer leads.
• Czech Company Registry Scraper for ARES — Official Czech business entity verification.
• Shopify Store Scraper — E-commerce product catalogs and variant pricing.

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📋 Changelog

v1.2 (2026-11)

• Unlimited Extraction & Zero Limit: Set maxItems to default 0 (unlimited, governed only by total current jobs).
• Graceful Empty Run Fallback: Added default multi-category fallback (DEFAULT_FEEDS), guaranteeing empty inputs return all current listings across all major departments.
• Fast Prefill Optimization: Streamlined prefill run times to under 15 seconds for rapid testing.
• Description HTML Normalization: Upgraded entity decoding and whitespace cleanup for clean LLM-ready text output.
• HQ & Company URL Extraction: Enhanced regex patterns to reliably isolate employer headquarters and application links.

v1.1

• Added support for all new WWR categories and sub-slugs.
• Improved cross-category entity deduplication.

v1.0

• Initial release featuring category feed parsing, plain-text description cleaning, and JSON/CSV exports.

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🗺️ Decoding remote candidate eligibility regions

We Work Remotely employers specify candidate location parameters in the region field. Understanding these values helps you filter relevant opportunities:

Region Value	Scope & Restrictions	Best Suited For
Anywhere in the World	100% global eligibility; no nationality, legal residency, or timezone prerequisites	Worldwide digital nomads, international contractors
USA Only	Requires US legal work authorization or US residency	US citizens, Green Card holders, US-based contractors
Europe Only	Restricted to candidates residing across European timezones (CET/GMT ± 2)	European developers, EU residents, UK professionals
Americas Only	Open to North, Central, and South America (PST to EST timezones)	LATAM and North American engineers working shared core hours
Canada Only	Requires Canadian residency or provincial tax status	Canadian remote workers
Specific Timezone Bands	Examples: UTC-5 to UTC+1, PST to EST	Teams requiring 4–6 hours of synchronous daily overlap

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🧠 Semantic search & LLM resume matching pipeline

Clean plain-text descriptions extracted by this actor are ideal for embedding and retrieval-augmented generation (RAG) pipelines:

1. Vector Database Ingestion (Pinecone / Chroma / Qdrant)

• Pass the cleaned description text through an embedding model (e.g., OpenAI text-embedding-3-small or Cohere embed-english-v3.0).
• Store vector embeddings alongside metadata: company, jobTitle, region, category, url.
• Enable semantic natural language search: "Find remote roles for senior backend engineers with distributed systems and Go experience."

2. Automated Candidate-to-Job Matching

• Embed applicant resumes and calculate cosine similarity against freshly scraped jobs.
• Filter on region matching the candidate's current residence.
• Rank active vacancies by match score and automatically email tailored alerts to registered talent.

3. Emerging Skills Trend Extraction

• Run periodic keyword extraction across all active descriptions to identify shifts in framework demand (e.g. rising mentions of Next.js 15, FastAPI, LangChain, or Kubernetes).
• Track quarter-over-quarter growth rates of remote hiring demand across programming languages.

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💼 Category breakdown & career specialization

We Work Remotely organizes its job postings into specialized career tracks. You can target individual sub-feeds or capture all areas simultaneously:

1. Programming & Software Development

The largest category on WWR, featuring high-compensation engineering roles across:

• Full-Stack Development: Modern JavaScript/TypeScript stacks (React, Vue, Node.js), Ruby on Rails, Django, Laravel.
• Backend Architecture: High-throughput distributed systems in Go, Rust, Java, Python, and C#.
• Frontend Engineering: UI/UX performance optimization, Next.js, Tailwind, component design systems.
• Mobile Development: Native iOS (Swift), Android (Kotlin), and cross-platform Flutter/React Native engineers.

2. DevOps, Cloud & Systems Administration

Crucial roles for scaling distributed cloud infrastructure:

• Cloud Platform Engineers (AWS, GCP, Azure).
• Kubernetes, Terraform, CI/CD automated pipeline orchestration.
• Site Reliability Engineering (SRE) and 24/7 observability architecture.

3. Product, Design & User Experience

Creative roles shaping digital user experiences:

• Product Designers and UI/UX Specialists (Figma, design systems).
• Product Managers (scrum, user research, roadmapping, data analytics).
• User Researchers and Information Architects.

4. Sales, Marketing & Customer Support

Essential growth and customer retention positions:

• Account Executives, SDRs, and Enterprise Partnership Leads.
• Content Strategists, SEO Specialists, and Growth Marketers.
• Technical Support Engineers and Tier-2 Customer Success Managers.

5. Management, Operations & Finance

Operational leadership for distributed teams:

• Chief of Staff, Head of Remote Operations, People & Culture Leads.
• Fractional CFOs, Financial Controllers, and International Payroll Specialists.

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🔒 Responsible data usage notice

This actor extracts publicly accessible job vacancy announcements published on We Work Remotely for legitimate employment aggregation, talent sourcing, and labor market research. This tool is an independent utility and is not officially affiliated with, endorsed by, or sponsored by We Work Remotely.

All trademarks, logos, and brand names are the property of their respective owners.