Remote Jobs Scraper $2/1K — RemoteOK, Remotive, WWR, Himalayas avatar

Remote Jobs Scraper $2/1K — RemoteOK, Remotive, WWR, Himalayas

Pricing

from $1.60 / 1,000 job results

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Remote Jobs Scraper $2/1K — RemoteOK, Remotive, WWR, Himalayas

Remote Jobs Scraper $2/1K — RemoteOK, Remotive, WWR, Himalayas

4 remote job boards in one run: RemoteOK, Remotive, WeWorkRemotely, Himalayas. $2/1,000 jobs — cheapest multi-board aggregator. Deduplicated JSON with title, company, salary, apply URL. Delta mode bills each posting once; webhook delivery built in. Made for job-alert bots and hiring research.

Pricing

from $1.60 / 1,000 job results

Rating

0.0

(0)

Developer

Nomad.Dev

Nomad.Dev

Maintained by Community

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0

Bookmarked

8

Total users

5

Monthly active users

7 hours ago

Last modified

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Fetch live remote-only job listings from 4 remote job boards — RemoteOK, Remotive, WeWorkRemotely and Himalayas — in a single run, merged and deduplicated into one clean dataset.

Two features no other remote-jobs scraper on the Store offers:

  • Delta mode (onlyNewSinceLastRun) — on a schedule, each posting is returned and billed exactly once. Perfect for job-alert bots and newsletters.
  • Webhook delivery (webhookUrl) — the run POSTs results straight to your endpoint, no dataset polling needed.

What remote jobs data does this scraper extract?

Each result is one flat JSON record per job posting:

FieldMeaning
sourceBoard the listing came from — remoteok, remotive, weworkremotely or himalayas
idStable source-side identifier
titleJob title as posted
companyHiring company / organisation
companyLogoCompany logo URL where the source provides one (RemoteOK, Remotive, Himalayas); null for WeWorkRemotely
locationLocation / duty station (may include remote hints)
urlDirect link to the posting
postedAtPosting date where the source provides it; null when absent
salarySalary text where the source provides it; null when absent (WeWorkRemotely feeds never include salary)
salaryMin / salaryMaxStructured salary range bounds — populated for RemoteOK (API exposes numeric salary_min/salary_max) and Himalayas (API exposes numeric minSalary/maxSalary); null for Remotive (free-text salary field only, no numeric fields to parse) and WeWorkRemotely (no salary data at all)
salaryCurrencyCurrency for salaryMin/salaryMax"USD" for RemoteOK (submitted as annualized USD-equivalent); Himalayas' reported currency otherwise (may be null); null for Remotive/WeWorkRemotely
salaryPeriodPay period for salaryMin/salaryMax"year" for RemoteOK, normalized to "year" for Himalayas' annual ranges; null otherwise
jobTypeEmployment type where provided — Remotive (job_type) and Himalayas (employmentType); null for RemoteOK/WeWorkRemotely
snippetShort description excerpt
tagsSource-provided tags/skills list (may be empty)
categoryJob category — Remotive and Himalayas; null for RemoteOK/WeWorkRemotely
scrapedAtISO-8601 UTC timestamp of when the run fetched the listing

Zero-result sentinels: if an enabled board returns nothing (temporarily down, blocked, or empty feed), the run emits one small diagnostic row for that board (_sentinel: true, warning, docs) instead of silently dropping it. Sentinel rows are not billed.

How to scrape remote jobs with this Actor

  1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
  2. Adjust the input (keyword, titleExclude, postedSince, board toggles, maxItems) or keep the defaults.
  3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/remote-boards-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
"https://api.apify.com/v2/acts/nomad-agent~remote-boards-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"maxItems": 50}'

Input

FieldTypeDefaultNotes
keywordstring""Optional case-insensitive substring matched against job title and company name. Leave empty to return all listings.
titleExcludearray[]Skip listings whose title or company contains any of these case-insensitive terms. Exclusion twin of keyword above.
postedSinceinteger0Only return listings posted within this many days (max 365). Applied client-side after fetch — see note below. Set 0 to disable and return all fetched listings regardless of age.
enableRemoteOKbooleantrueScrape listings from RemoteOK.
enableRemotivebooleantrueScrape listings from Remotive.
enableWeWorkRemotelybooleantrueScrape tech/programming listings from WeWorkRemotely (Full-Stack, Back-End, Front-End, DevOps/SysAdmin).
enableHimalayasbooleantrueScrape listings from Himalayas (himalayas.app) — exposes numeric salary ranges, company logo and employment type.
onlyNewSinceLastRunbooleanfalseDelta mode. Return only listings not emitted by previous runs (identity remembered in a named key-value store). Ideal for scheduled job-alert runs — each posting is returned and billed once.
maxItemsPerSourceinteger50Maximum number of listings to return from each enabled board (max 500). Each item returned is a billed dataset result. Set 0 for no limit (not recommended).
maxItemsinteger150Hard cap on the total number of listings returned across all boards (values above 2000 are clamped). Each item returned is a billed dataset result. Set 0 for no limit (not recommended).
cacheTtlSecondsinteger1800Advanced. Reuse a fetch from this many seconds ago instead of hitting the source board again on rapid re-runs. Set 0 to always fetch live.
webhookUrlstring""Advanced. Optional HTTPS endpoint. When set, the run POSTs its listings there in batches of 50 as JSON ({items, offset, count, total}) after writing them to the dataset. Best-effort — a webhook failure is logged but never fails the run.
webhookSecretstring""Advanced. Optional shared secret sent as the X-Webhook-Secret header on each webhook POST so your endpoint can verify the caller.

Billing note: each returned listing is a billed dataset result. A single run merges four full remote-job-board feeds, so maxItemsPerSource (default 50, max 500) and maxItems (default 150, max 2000) cap the cost — set either to 0 for no limit, but expect hundreds of listings per board on an unbounded run.

postedSince is a client-side filter: none of the four source feeds accept a server-side date parameter, so the actor fetches the live feed and then drops listings older than N days by parsing each source's own postedAt format (RemoteOK/Remotive: ISO 8601; WeWorkRemotely: RSS published date). A listing with a date the actor can't parse is kept rather than silently dropped.

Output example

{
"source": "remotive",
"id": "1934582",
"title": "Backend Engineer (Go)",
"company": "Chili Piper",
"companyLogo": "https://remotive.com/job/1934582/logo",
"location": "Worldwide",
"url": "https://remotive.com/remote-jobs/software-dev/backend-engineer-1934582",
"postedAt": "2026-06-29T07:00:00",
"snippet": "Fully remote backend role...",
"salary": "$90k–$120k",
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": null,
"salaryPeriod": null,
"jobType": "full_time",
"category": "Software Development",
"tags": ["go", "backend"],
"scrapedAt": "2026-07-06T09:15:00+00:00"
}

RemoteOK and Himalayas records carry the numeric salary fields too, since both APIs expose numeric min/max salary directly:

{
"source": "himalayas",
"salary": "$157k–$175k",
"salaryMin": 157500,
"salaryMax": 175000,
"salaryCurrency": "USD",
"salaryPeriod": "year",
"jobType": "Full Time",
"companyLogo": "https://cdn-images.himalayas.app/..."
}

Integrations

Export the dataset as JSON, CSV or Excel from the Console, pull it over the Apify API (including run-sync-get-dataset-items for a single blocking call), wire it into Make/Zapier/n8n, or drive it from an AI agent via the Apify MCP server.

Pricing

Pay per event: $0.005 per Actor start and $0.002 per job returned ($2 per 1,000 jobs — volume discounts bring it down to $1.60/1,000 on higher Apify plans). 100 jobs ≈ $0.21. No subscription, no rental — you pay only for what you fetch. This is the cheapest 4-board remote-jobs aggregator on the Apify Store — comparable multi-board scrapers charge $3–15 per 1,000 results. Combine with onlyNewSinceLastRun and you never pay for the same posting twice.

Use cases

  • Remote-job boards and newsletters
  • Job-alert bots for remote-first candidates
  • Remote-hiring market research
  • Feeding AI matching agents with remote-only supply

FAQ

Is it legal to scrape remote jobs? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live). Use postedSince to additionally filter out listings older than N days.

Can I get only jobs I haven't seen before? Yes — enable onlyNewSinceLastRun. The actor remembers every listing it has emitted (by deduplicated identity, persisted in a named key-value store) and returns only postings not seen in earlier runs. Combined with a schedule, each posting is returned and billed exactly once — ideal for feeding a job-alert bot.

Can it push results to my endpoint? Yes — set webhookUrl (and optionally webhookSecret). After writing to the dataset, the run POSTs listings to your URL in batches of 50. Delivery is best-effort and never fails the run.

How many jobs can I get? maxItemsPerSource (default 50, max 500) and maxItems (default 150, max 2000) cap the run. Set either to 0 for no limit — not recommended, since every returned item is a billed dataset result and this Actor merges four full remote-job-board feeds.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

Finding this Actor useful? A quick ⭐ review on the Store page helps other remote-job hunters discover it — and tells us what to build next.