Remote Jobs Scraper: Remote OK, Himalayas, Remotive and We Work Remotely in One Dataset (Free)

Overview

Collect remote job listings from Remote OK, Himalayas, Remotive, and We Work Remotely in one unified dataset. Each record includes the job title, company, salary information, location and timezone restrictions, tags, application link, and original listing source.

Filter listings by keywords, Remotive category, or Himalayas country. No account or login is required.

Because each job board uses a different data structure, this scraper standardizes records, removes duplicates, and preserves source attribution. Remote OK, Himalayas, and Remotive require attribution when their listings are republished.

Use Cases

• Remote job boards and newsletters: Collect remote vacancies and retain links to their original listings.
• Recruiter sourcing: Discover companies hiring remotely across multiple job boards.
• B2B lead generation: Identify companies with open roles, along with job titles and application links.
• Salary research: Compare available salary figures and salary descriptions across job boards.
• Job-market analytics: Analyze job tags, categories, location restrictions, and hiring trends.

Filtering Options

Keyword filtering works differently across the four sources:

• Remote OK: Keywords are matched against job tags.
• Himalayas: Keywords are used for job searches, particularly when a country is specified or a keyword is provided.
• Remotive: Keywords are used to search listings. Because category filtering can be broad, keyword matches are checked again during processing.
• We Work Remotely: Listings are collected from selected category feeds and filtered locally by keyword.

Remotive category names use slugs such as software-dev. Enter the desired category slug directly.

When keywords are empty, the scraper collects Remote OK's latest listings, browses Himalayas listings, selects a Remotive feed, and retrieves listings from the chosen We Work Remotely categories.

Input Parameters

Parameter	Type	Default	Description
sources	array	All four sources	Job boards to collect from, in priority order. The first source takes precedence when duplicate listings are found.
keywords	array	Empty	Keywords used for source-specific searches and local filtering.
remotiveCategory	string	Empty	Remotive category slug, such as software-dev.
wwrCategories	array	remote-programming-jobs	We Work Remotely categories to collect. Each selected category is processed separately.
country	string	Empty	Country filter for Himalayas, using an ISO-2 code or country name, such as US.
postedWithinDays	integer	30	Exclude jobs older than the specified number of days. Listings without a posting date are retained. Range: 1–90.
onlyWithSalary	boolean	false	Keep listings containing numeric salary information or Remotive salary text.
includeDescription	boolean	true	Include the job description.
descriptionFormat	string	text	Description format: text, markdown, or html.
outputFormat	string	normalized	Use normalized for standardized records or raw to include the original source record in rawJob.
dedupeAcrossSources	boolean	true	Merge matching company and job-title records. Other source listings are stored in alsoListedOn.
maxItems	integer	200	Maximum total job records. Hard limit: 2,000 per run.
maxItemsPerSource	integer	100	Maximum records per job board. Hard limit: 1,000 per source.
timeoutSecs	integer	300	Maximum duration of the run, in seconds.
requestTimeoutSecs	integer	30	Timeout for an individual request, in seconds.

Example Input

{
  "sources": [
    "remoteok",
    "himalayas",
    "remotive",
    "weworkremotely"
  ],
  "keywords": ["python"],
  "remotiveCategory": "software-dev",
  "wwrCategories": ["remote-programming-jobs"],
  "country": "US",
  "postedWithinDays": 30,
  "onlyWithSalary": false,
  "includeDescription": true,
  "descriptionFormat": "text",
  "outputFormat": "normalized",
  "dedupeAcrossSources": true,
  "maxItems": 200,
  "maxItemsPerSource": 100,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}

Extracted Data

Each job record includes sourceName and sourceUrl for attribution. The job title is stored in jobTitle, and the description is stored in jobDescription to maintain compatibility with the dataset schema.

The dedupeKey combines a normalized company identifier and job-title identifier. When duplicates appear across sources, the first source in the configured priority order is retained. Additional listings are recorded in alsoListedOn.

Example Output

{
  "id": "himalayas:JOB_LISTING_ID",
  "sourceName": "Himalayas",
  "sourceUrl": "SOURCE_LISTING_URL",
  "applyUrl": "APPLICATION_URL",
  "jobTitle": "Sales Recruiter",
  "company": "Toptal",
  "companySlug": "toptal",
  "employmentType": "Full Time",
  "seniority": ["Mid-level"],
  "locationRestrictions": ["Canada"],
  "timezoneRestrictions": [-8, -7, -6, -5, -4, -3.5],
  "salaryMin": null,
  "salaryMax": null,
  "salaryPeriod": "annual",
  "postedAt": "2026-10-11T18:46:27Z",
  "alsoListedOn": []
}

Field Reference

Field	Type	Description
id	string	Source identifier combined with the listing identifier.
sourceName	string	Source board: Remote OK, Himalayas, Remotive, or We Work Remotely.
sourceUrl	string	Original listing URL on the source board.
applyUrl	string	Application link, when available.
jobTitle	string	Job title.
company	string	Hiring company. For We Work Remotely, the company may be extracted by splitting the listing title at the first : .
companyLogo	string	Company logo URL, when available.
companySlug	string	Company identifier used by Himalayas.
category	string	Job category or parent category.
tags	array	Job tags from Remote OK or Remotive.
employmentType	string	Employment type, normalized where possible. For example, full_time becomes Full Time.
seniority	array	Seniority labels from Himalayas.
locationRestrictions	array	Eligible locations or geographic restrictions supplied by the source.
timezoneRestrictions	array	Timezone offsets supplied by Himalayas.
salaryMin	number	Minimum salary, when available.
salaryMax	number	Maximum salary, when available.
salaryCurrency	string	Salary currency, when available. USD may be assigned to numeric Remote OK salary values.
salaryPeriod	string	Salary period, such as annual, when available.
salaryText	string	Free-text salary description from Remotive.
postedAt	string	Listing publication timestamp in UTC, when available.
expiresAt	string	Listing expiration timestamp in UTC, when available.
jobDescription	string	Job description in the selected format.
dedupeKey	string	Normalized company and job-title key used for deduplication.
alsoListedOn	array	Other sources containing the same company and job title.
scrapedAt	string	Timestamp indicating when the record was collected.
rawJob	object	Original source record, included only when outputFormat is raw.

Missing salary values are preserved as empty or null values where appropriate. Remote OK salary values of 0 are treated as unavailable.

Dataset Views

The dataset contains two views:

• Jobs: Normalized job listings and their available details.
• Errors: Source-specific collection failures.

Error records can contain source, input, error, and statusCode. A failure on one source does not automatically cancel collection from the other sources.

Collection and Rate Limits

Sources are processed sequentially to reduce unnecessary requests and respect their usage restrictions.

1. Remote OK: Processes one request per keyword, or one unfiltered request when no keywords are supplied. The initial JSON element containing the legal notice is skipped. Calls are spaced at least two seconds apart. The feed provides recent listings without pagination.

2. Himalayas: Uses browsing or search pagination depending on the selected filters. Each page contains up to 20 jobs. Requests are spaced at least one second apart. After an HTTP 429 response, the scraper waits 60 seconds and retries once before recording an error and continuing.

3. Remotive: Processes one request per keyword, without additional pages. Requests are spaced at least 30 seconds apart. Remotive recommends no more than four runs per day and restricts excessive request frequency. Listings may be delayed by approximately 24 hours.

4. We Work Remotely: Processes each selected category feed separately, with at least one second between requests. The feed's stated time-to-live is 60 minutes.

The timeoutSecs setting limits the total run duration. Records collected before a timeout are retained. The overall maxItems limit is applied after deduplication.

Attribution and Source Restrictions

When republishing collected listings, retain sourceName and sourceUrl so readers can identify the original source.

Source	Attribution and restrictions
Remote OK	Provide a dofollow link to the original listing and identify Remote OK by name. Do not use its logo.
Himalayas	Link to the original listing and identify Himalayas by name. Do not resubmit listings to Jooble, Neuvoo, Google Jobs, or LinkedIn Jobs.
Remotive	Link to the original listing and identify Remotive by name. Do not resubmit listings to Google Jobs, LinkedIn Jobs, Jooble, or Neuvoo. Respect its collection frequency restrictions. Using its listings to collect email addresses or sign-ups violates its stated terms.
We Work Remotely	Use the original listing link and respect the source's published feed guidance. The source's feed indicates a 60-minute time-to-live.

The companyLogo field, when present, refers to the hiring company's logo rather than the logo of a job board.

Free Usage Limits

• Maximum of 2,000 job records per run.
• Default overall limit of 200 records.
• Maximum of 1,000 records per source.
• Himalayas returns up to 20 jobs per page.
• Results depend on the available listings, selected filters, source restrictions, and configured limits.

FAQ

How often can I run the Remotive source?

Remotive recommends no more than four runs per day and restricts excessive request frequency. This scraper spaces requests by at least 30 seconds and makes one request per keyword. Keep scheduled runs within the source's recommended daily limit.

Why is the job title stored as jobTitle?

The dataset reserves title and description for system-level use. Therefore, job titles are stored in jobTitle, and job descriptions are stored in jobDescription.

Does every listing include salary information?

No. Salary details vary by source. Remote OK may provide 0 when a numeric salary is unavailable, Himalayas may provide null values, and Remotive may provide a text description instead of numeric values. Enable onlyWithSalary to exclude listings without recognized salary information.

Can Himalayas return more than 20 jobs on one page?

No. The scraper processes pages of up to 20 jobs and continues using pagination until the configured limit is reached or no more results are available.

Can I resubmit these listings to Google Jobs or LinkedIn Jobs?

Himalayas and Remotive restrict the redistribution of their listings to certain job aggregators. Follow each source's terms, including the restrictions on resubmitting listings to Google Jobs, LinkedIn Jobs, Jooble, and Neuvoo.

Can I export the results?

Yes. The collected records are stored in the dataset for download and further analysis. The standardized output can be used for reporting, job-market research, and recruiting workflows.

Trademark Notice

Remote OK, Himalayas, Remotive, We Work Remotely, and their respective names, logos, and trademarks belong to their owners. Their use in this documentation is solely to identify the sources of the collected information and does not imply affiliation, sponsorship, endorsement, or partnership.

Disclaimer

This is an independent data collection tool. It is not affiliated with, endorsed by, sponsored by, or officially associated with Remote OK, Himalayas, Remotive, or We Work Remotely.

Is Web Scraping Legal?

Collecting information that is already public is generally legal. Scraping is not the same thing as hacking, and there is no single law that bans it. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article Is web scraping legal?.