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WeWorkRemotely Jobs Scraper

Pricing

from $40.00 / 1,000 job postings

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WeWorkRemotely Jobs Scraper

WeWorkRemotely Jobs Scraper

Scrape WeWorkRemotely remote jobs across all categories โ€” title, company, URL, posted date, full description HTML, category, region. Programming, design, marketing, customer support, product, sales, all-other. Remote-first recruiters, indie founders, job aggregators, talent platforms.

Pricing

from $40.00 / 1,000 job postings

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Stephan Corbeil

Stephan Corbeil

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2

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13 days ago

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๐ŸŒ WeWorkRemotely Jobs Scraper โ€” Bulk remote-only job postings from WeWorkRemotely.com

The WeWorkRemotely Jobs Scraper pulls every open remote job posting from WeWorkRemotely.com, one of the largest curated remote-only job boards. You get clean rows โ€” title, company, category, region (Worldwide / Americas / Europe-only / etc.), salary (when published), tags, post date, full description โ€” across Programming, Design, Customer Support, Marketing, Sales, DevOps, and other categories. Perfect for remote-talent recruiters, niche-job-board operators, and remote-work-tool ICP discovery.

Why WeWorkRemotely Jobs Scraper Beats WeWorkRemotely, LinkedIn Talent Insights, and Indeed Analytics

SourcePriceWhat you get
WeWorkRemotely (official)Free / employer feesManual browse, no bulk export, no JSON API
LinkedIn Talent Insights$5K-30K/yrGeneric talent data, not remote-specific
Indeed AnalyticsSelf-serve / enterpriseRemote category exists but not curated
AngelList Talent (Remote)Free + paidStartup-focus only
NexGenData WeWorkRemotely Scraper$0.05/posting PPETitle, company, category, region, salary, tags, post date โ€” bulk JSON

What You Get

  • Job ID + canonical WeWorkRemotely URL
  • Job title
  • Company name + company logo URL + company website (when published)
  • Category (Programming, Design, DevOps, Marketing, Customer Support, etc.)
  • Sub-category / role (Full-Stack / Front-End / Back-End / Senior / etc.)
  • Region restriction (Worldwide / Americas-only / Europe-only / USA-only / specific country)
  • Employment type (Full-time / Contract / Part-time / Internship)
  • Salary range (when posted) + currency
  • Posted date / 'time-ago' relative timestamp
  • Full job description (HTML and plain-text)
  • Tags (Rails, React, Go, Async, Senior, etc.)
  • Application URL / apply-by-email address

Use Cases

  • Remote-talent agency โ€” build a daily-refreshed list of every Senior Rails or Senior Go role with worldwide-allowed region, push to your CRM.
  • Remote-work-tool ICP โ€” companies hiring remote are warm leads for async-comms, time-zone, payroll, EOR, and equipment-stipend SaaS.
  • Salary benchmarking โ€” track salary-band shifts across categories quarterly for compensation reports.
  • Niche job board โ€” aggregate WeWorkRemotely + Greenhouse + Lever + Workable into a niche board (e.g. EU-only-Rails, climate-only).
  • Recruiter sourcing โ€” auto-build target-company lists from companies hiring in your specialty.
  • Investor remote-friendliness scoring โ€” score portfolio companies by how often they post remote-friendly roles vs in-office-only.
  • Geographic-arbitrage research โ€” for individual job-seekers, track which roles allow your specific country and salary band.

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"categories": ["programming", "devops-sysadmin"],
"regions": ["worldwide", "americas-only"],
"keywords": ["senior"],
"maxItems": 300
}
run = client.actor("nexgendata/weworkremotely-jobs-scraper").call(run_input=run_input)
# Iterate results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Or fetch all in one go
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(f"Got {len(items)} rows")

You can also run from the Apify CLI:

apify call nexgendata/weworkremotely-jobs-scraper --input='{
"categories": ["programming", "devops-sysadmin"],
"regions": ["worldwide", "americas-only"],
"keywords": ["senior"],
"maxItems": 300
}'

Or from the web console: open the actor page on Apify, click Try for free, paste the input JSON, hit Run. Results stream into the dataset which you can export as JSON / JSONL / CSV / Excel / HTML.

Scheduling

This actor pairs cleanly with Apify Scheduler (built into the platform) โ€” schedule it hourly / daily / cron-style and dedupe results into your warehouse on the stable primary-key fields documented above. Webhook outputs are supported, so you can fire a Slack / Zapier / Make / n8n / your-own-API call the moment new rows materialize.

Integration patterns

  • CRM enrichment: pipe rows directly into HubSpot / Salesforce / Pipedrive via Zapier or Make
  • Warehouse: append to BigQuery / Snowflake / Postgres on a daily schedule via Apify โ†’ S3 โ†’ warehouse ingest
  • LLM-ready RAG: each row is already JSON-flat; embed the plain-text body field and store in pgvector / Pinecone / Weaviate
  • Slack alerts: filter by your trigger keyword and fire a Slack webhook for matches in real-time

Pricing

This actor runs on Apify's pay-per-event (PPE) model โ€” you pay only for results, not run-time:

  • $0.04 per remote job posting โ€” the primary event (one charge per row pushed to the dataset)
  • 0.00005 USD per actor-start GB-event โ€” actor start cost (one-time per run, sub-cent at typical memory)

No subscriptions, no minimums, no per-CPU-second charges. Apify's $5/month free tier covers most experiments. Browse 200+ buyer-intent actors at https://apify.com/nexgendata?fpr=2ayu9b

Cost worked example

A daily scheduled run pulling 500 fresh rows costs roughly:

  • 500 rows ร— primary-event price (~$0.04-0.05) = $20-25
  • 1 actor start ร— ~$0.00005 = negligible

So ~$20-25 per 500-row daily run, or ~$0.04-0.05 per row all-in. There are no surprise compute, storage, or proxy add-ons โ€” proxy rotation is bundled into the per-row price.

Why pay-per-event beats time-based pricing

  • Predictable: you know your cost from row count before the run starts
  • Failure-safe: if a target site changes its HTML and the actor returns 0 rows, you pay 0 (vs paying for the CPU-seconds anyway under time-based pricing)
  • Easy to attribute: 1 row = 1 unit cost, so per-customer / per-pipeline cost accounting is trivial

Sister Actors in the NexGenData Fleet

Use caseActor
Greenhouse ATS postings scrapergreenhouse-jobs-scraper
Lever ATS postings scraperlever-jobs-scraper
Workable + SmartRecruiters scraperworkable-smartrecruiters-jobs-scraper
LinkedIn jobs scrapinglinkedin-jobs-scraper
Convert postings to hiring-velocity signalhiring-signal-detector
Find recruiter / hiring-manager emailscompany-email-finder
B2B leads for remote-work tool sellersb2b-leads-finder

(All sister actors share the same PPE billing and Apify-standard JSON output, so you can compose multi-step pipelines without rewriting input/output adapters.)

FAQ

Q: How fresh is the data?

A: Each run pulls live listings. WeWorkRemotely updates within minutes of employer posting.

Q: Can I filter by category or region?

A: Yes โ€” pass category slugs (programming, design, devops, etc.) and/or region keywords. Free-text keyword filter also supported.

Q: Will I get blocked?

A: The actor uses Apify residential proxies and polite pacing. We have not observed blocks at typical volumes (โ‰ค5K postings/run).

Q: Is scraping WeWorkRemotely legal?

A: The actor reads public unauthenticated pages, the same way a browser does. Compliance with WWR's terms is your responsibility โ€” most read-only use is widely accepted.

Q: Output format?

A: JSON, JSONL, CSV, Excel via Apify dataset export. Schema is stable; new fields are additive only.

Q: Can I monitor for new postings?

A: Yes โ€” schedule the actor via the built-in Apify scheduler and dedupe on job ID.

Schema Stability & Versioning

This actor follows NexGenData's additive-only schema contract:

  • New fields may be added at any time โ€” they will simply appear as new keys in the JSON output, defaulting to null for older runs.
  • Existing fields are never renamed or removed without a major-version bump and an advance changelog notice.
  • Field semantics (units, timezones, value-sets) are never silently changed โ€” if we need to change semantics, we add a new field with the new name and deprecate (but keep) the old one for at least 90 days.

This means you can build production pipelines on this actor and not worry about a Tuesday breaking a Friday's ETL job. If you spot an unexpected change, reach out via the actor's Apify Issues tab and we'll look at it the same day.

  • The actor reads public, unauthenticated pages the same way a logged-out browser does.
  • All requests route through Apify's compliant residential-proxy infrastructure with polite rate limiting.
  • You are responsible for ensuring your downstream use complies with the target site's Terms of Service, your jurisdiction's data-protection laws (GDPR, CCPA, UK DPA, etc.), and any sector-specific rules (HIPAA, PCI, etc.).
  • We do not collect, store, or transmit credentials for the target site.
  • Most read-only competitive-intelligence and lead-generation use is widely accepted. Consult counsel before bulk redistribution.

Support

Open an issue on the actor's Apify Issues tab โ€” the NexGenData team responds within one business day. For feature requests (new fields, new input filters), include the use case so we can prioritize on it.

About NexGenData

NexGenData publishes 200+ buyer-intent actors covering SEC filings, YC alumni, Delaware DOC, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, ATS job boards, real-estate marketplaces, and more. All actors are pay-per-result and share a stable, additive-only JSON schema. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b


SEO: ๐ŸŒ WeWorkRemotely Scraper โ€” Remote Job Postings Aggregator