Remotive Remote Jobs Scraper

hipersoft/remotive-scraper

Scrape remote job listings from Remotive: job title, company, category, tags, job type, candidate location, salary, publication date, apply URL and full description. Filter by keyword, category or company and bulk-export to JSON, CSV, Excel or XML.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Scrape remote jobs from Remotive with rich, structured data: job title, company, category, tags, job type, candidate location, salary, publication date, full description and apply link. Filter by keyword, category or company and bulk-export live remote listings into clean JSON, CSV, Excel or XML. Fast and reliable.

What does Remotive Remote Jobs Scraper do?

Remotive Remote Jobs Scraper collects remote job listings and returns them as structured data. Filter to a niche or leave the filters empty to export the latest listings, then use the jobs, categories, salaries and descriptions for a job board, alerts, salary research or hiring-market analysis.

What data can you scrape from Remotive?

🌍 Remote jobs in bulk — export live remote listings in one run
🏢 Company — name and logo
🏷️ Category & tags — job category plus skill/role tags
💼 Job type — full-time, contract, freelance and more
📍 Candidate location — where the role can be worked from
💰 Salary — the posted salary text, when provided
📝 Descriptions — clean plain-text description (HTML optional)
🔗 Links & dates — apply URL and publication date

Use cases

Remote-job boards & aggregators — feed fresh, structured remote listings into your own site (please link back to and credit Remotive as the source)
Job alerts — monitor new remote roles by keyword, category or company
Salary research — track remote pay ranges across roles and regions
Hiring-market analysis — measure remote demand by category over time
Lead generation — find companies actively hiring for remote skills

How to scrape Remotive remote jobs

Add Remotive Remote Jobs Scraper to your Apify account.
Optionally set filters — search, categories, companyName.
Set maxItems to cap how many jobs to return (leave filters empty to export the latest).
Run the Actor and export the results as JSON, CSV, Excel or XML — or pull them via the API.

Input

{
  "search": "python",
  "categories": ["software-development", "devops"],
  "companyName": "",
  "maxItems": 200
}

Leave the filters empty to export the latest remote jobs.

Field	Description
`search`	Keyword filter (title, company, tags, location, description).
`categories`	One or more category slugs (e.g. `software-development`, `design`, `marketing`, `data`).
`companyName`	Only return jobs from companies whose name contains this text.
`maxItems`	Maximum jobs to collect (0 = no limit).
`includeDescriptionHtml`	Also include each job's original HTML description. Default `false`.

Category slugs

software-development, customer-service, design, marketing, sales, product, project-management, data, devops, finance, human-resources, qa, writing, legal, medical, education, information-technology, all-others and more.

Output

{
  "id": 1749306,
  "title": "Senior Backend Engineer",
  "company": "Acme",
  "companyLogo": "https://…/acme-logo.png",
  "category": "Software Development",
  "tags": ["Python", "Django", "AWS"],
  "jobType": "full_time",
  "location": "Worldwide",
  "salary": "$120k - $160k",
  "publicationDate": "2026-09-01T12:00:00",
  "url": "https://remotive.com/remote-jobs/software-dev/senior-backend-engineer-1749306",
  "descriptionText": "We are looking for a Senior Backend Engineer …",
  "sourceQuery": "python software-development"
}

Every row is exportable as JSON, CSV, Excel or XML from the Storage tab or via the Apify API.

FAQ

Do I need to write any code? No. Set the filters, click Start, and download the results.

Can I get every remote job? Set maxItems to 0 and leave the filters empty to export the latest listings without a cap.

How often is the data updated? Remote listings change through the day; run the Actor on a schedule to keep your data fresh.

How do I use the results? Export to JSON, CSV, Excel or XML, or pull them straight from the Apify API into your app, spreadsheet or database. Please link back to Remotive and credit it as the source when you display these jobs.

Input

Field	Type	Description
`search` Search keyword	string	Optional keyword to filter jobs — for example 'python', 'react', 'product manager' or 'customer support'. Matches job title, company, tags, location and description. Leave empty to return the latest jobs.
`categories` Categories	array	Optional. Restrict results to one or more Remotive categories. Use the category slug, e.g. software-development, customer-service, design, marketing, sales, product, data, devops, finance, writing, qa, human-resources, project-management, all-others. Leave emp
`companyName` Company name	string	Optional. Only return jobs from companies whose name contains this text (case-insensitive).
`maxItems` Max items	integer	Maximum number of jobs to collect (0 = no limit; collect everything the filters return). Default: `200`
`includeDescriptionHtml` Include HTML description	boolean	Also include each job's original HTML description (descriptionHtml) alongside the plain-text version. Off by default to keep the dataset lean. Default: `false`
`maxConcurrency` Max concurrency	integer	How many requests to run in parallel. Leave at the default unless you have a reason to change it. Default: `3`
`proxyConfiguration` Proxy configuration	object	Proxy settings. Not required by default. If you experience reduced results, enable Apify Proxy for the most reliable access. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~remotive-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "categories": []
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/remotive-scraper").call(run_input={
    "categories": []
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/remotive-scraper').call({
  "categories": []
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped Charged once per remote job returned in the dataset.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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