Working Nomads Remote Jobs Scraper

hipersoft/workingnomads-scraper

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

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per item scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Turn Working Nomads remote-job listings into clean, structured data. Collect the current remote jobs board and get one tidy row per job with the title, company, category, tags, location, publication date, apply link and the full job description (as HTML and as plain text). Export to JSON, CSV, Excel or XML, or pull straight from the API.

Perfect for building remote-job boards, job-alert emails, talent-sourcing lists, salary and market research, or feeding fresh remote roles into your own app, spreadsheet or workflow.

What you get

One flat, ready-to-use record per job:

Field	Description
`title`	Job title
`company`	Hiring company name
`category`	Job category (e.g. Development, Design, Marketing)
`tags`	Skill / topic tags as a clean array
`location`	Candidate location or region
`publishedAt`	Publication date (ISO 8601)
`url`	Direct link to the job
`description`	Full job description (original HTML)
`descriptionText`	Full job description as readable plain text
`scrapedAt`	When the row was collected (ISO 8601)

How to use

(Optional) Set a Category to keep only jobs in one area — e.g. development, design, marketing, management, finance, sales or administration.
(Optional) Set a Location to keep only jobs matching a region or country — e.g. USA, Europe, anywhere.
(Optional) Set a Search keyword to match the title, company, tags and description — e.g. python, react, product manager.
(Optional) Set Max items to cap how many jobs you collect (0 = all).
Run it, then download your data or grab it from the dataset API.

{
  "category": "development",
  "search": "python",
  "location": "anywhere",
  "maxItems": 100
}

Leave every field empty to collect the full current list of remote jobs.

Input reference

Field	Type	Description
`search`	string	Optional keyword — matches title, company, tags and description
`category`	string	Optional category filter (case-insensitive contains)
`location`	string	Optional location filter (case-insensitive contains)
`maxItems`	integer	Max jobs to collect (0 = no limit)
`proxyConfiguration`	object	Optional proxy settings (not required by default)

Tips

Start with a small maxItems to preview the shape of the data, then scale up.
Combine Category and Search to zero in on exactly the roles you want.
Every row includes an ISO publishedAt timestamp and both HTML and plain-text descriptions, so the data drops straight into databases, search indexes and email templates.

Notes

This scraper collects public remote-job information only. Please use the data responsibly and in line with Working Nomads' terms.

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 and description. Leave empty to return the latest jobs.
`category` Category	string	Optional. Only return jobs whose category contains this text (case-insensitive) — for example 'development', 'design', 'marketing', 'management', 'finance', 'sales' or 'administration'. Leave empty to include every category.
`location` Location	string	Optional. Only return jobs whose location contains this text (case-insensitive) — for example 'USA', 'Europe', 'anywhere' or a country name. Leave empty to include every location.
`maxItems` Max items	integer	Maximum number of jobs to collect (0 = no limit; collect everything the filters return). Default: `0`
`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~workingnomads-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/workingnomads-scraper").call(run_input={})

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/workingnomads-scraper').call({});

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

Pricing

Event	Price	Paid plans from
Item scraped Charged for each remote job successfully scraped and returned to your 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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