Working Nomads Jobs Lookup — Remote Jobs by Category

Paste one or more categories or keywords and get every matching posting from Working Nomads' live remote-jobs feed — title, company, location, category, tags, posting date, description and a direct link. This reads the site's own exposed jobs feed: no API key, no scraping of the rendered page.

Who it's for

The accountable_eel catalogue also covers remote-jobs feeds — actors that take a category or a keyword rather than a company, and return every current posting that matches as one flat, stably-named row. Each reads the board's own API rather than scraping rendered HTML, so the columns don't move when the site is redesigned, and an AI agent or a Clay column that reads the schema once keeps working. Pricing is pay-per-event and per posting: you pay for postings actually returned, and nothing at all for a search that comes back empty. No seat licence, no monthly minimum, no credit system to decode. This one covers the Working Nomads remote feed.

Why this one

• Reads the site's own feed, not a scrape. No CSS selectors that break when the page is redesigned.
• You don't pay for an empty search. A term nothing matches comes back found: false and is never billed.
• Category or keyword. Your term is matched against category, tags, title and company, so python works as well as development.
• Tags come parsed. tags is a real array rather than a comma-separated string, so you can filter on it directly.
• One row per search, or one per job. Turn on expandRows when you want postings as their own rows for a table.

What you get

One row per input term by default, with postings nested in jobs. Turn on expandRows to get one row per posting. Field names are stable and won't be renamed between runs.

Field	Type / format	Description
query	text	The term exactly as submitted.
found	boolean	Whether anything in the current feed matched. Gates billing — false rows are never charged.
status	text	OK or NOT_FOUND (nothing in the current feed matched).
searchTerm	text	The normalized term that was matched against the feed.
jobCount	number	Postings that matched this term.
totalInFeed	number	How many postings were in the feed at all — the denominator for jobCount.
jobs	array	The matching postings, each with the fields below.
title	text	Job title.
company	text	Hiring company name.
categoryName	text	Working Nomads' own category for the posting.
tags	array	Tags on the posting, split into separate entries.
location	text	Stated location or region requirement.
postedAt	date (ISO 8601)	Publication date from the feed.
url	link	The posting's page.
description	text	Posting description with HTML stripped, truncated to 2,000 characters.
scrapedAt	date (ISO 8601)	When this actor fetched the row.

This is a rolling window, not an archive. The feed carries recent postings only, so totalInFeed is the size of that window rather than everything Working Nomads has ever listed. A term that returns nothing today may return results next week.

Price

• Job posting returned: $1 per 1,000 job postings

Plus a $0.00005 start fee per run. Each event above is billed independently, only when it actually returns data — misses (found:false) are never charged.

You're billed per job posting actually returned, not per search term and not per run. A term nothing matches costs nothing. A search returning 200 postings costs about $0.20 at the FREE-tier rate, less on paid Apify plans. The start fee is per run, so batch your terms into one run rather than running them separately.

How to use

1. In the Apify Console. Open the actor page and click Start — the items field is already pre-filled with a working example. Results land in the run's dataset as soon as each item is found.
2. Via the API. Call it directly with a POST request — no Console needed once you have an API token:

   curl "https://api.apify.com/v2/acts/accountable_eel~workingnomads-jobs-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
     -X POST \
     -H "Content-Type: application/json" \
     -d '{"items":["development"]}'
   

3. On a schedule. Save this actor as an Apify Task with the input you want, then add a Schedule (hourly, daily, weekly) so it runs on its own — no server of your own required.

1. Paste your categories or keywords into items — one per line.
2. Run the actor. Each term is matched against the current feed, in parallel up to maxConcurrency.
3. Turn on expandRows if you want one row per posting rather than postings nested per term.
4. Read the dataset. Empty searches are written as found: false rows and are never charged.

Common ways teams use this:

• Build a niche remote-jobs board by pulling a handful of categories on a schedule.
• Track which companies hire remotely in a discipline by grouping postings on company.
• Watch a specific technology's demand by using a skill keyword like python as the term.
• Feed a candidate-matching pipeline with tags already parsed into an array.
• Monitor a category week to week by re-running on a schedule and diffing on url.

Input

{
  "items": [
    "development"
  ]
}

One category or keyword per line, matched against the current Working Nomads feed's category, tags, title, and company — e.g. development, marketing, sales, design, python, customer-support. Accepted formats: development, marketing, python.

{
  "items": ["development", "python"],
  "expandRows": false,
  "onlyFound": false,
  "maxConcurrency": 5
}

items is your list of categories or keywords. Each term is matched against the feed's category, tags, title and company, so broad terms like development, marketing and sales work alongside specific ones like python or customer-support. Turn on testRun to try a small sample first. expandRows switches between one row per term and one row per posting. onlyFound drops empty searches, maxResults stops the run early, includeKeywords and excludeKeywords filter rows by content, and columns picks which fields come back — useful for dropping description, which is by far the widest field.

Sample output

query	found	status	searchTerm	jobCount	totalInFeed	jobs	title	company	categoryName	tags	location	postedAt	url	description	scrapedAt
development	true	OK	development	30	47	<all postings found (full list)>	Senior SAP S/4HANA Developer	Proxify	Development	["sap","architecture","cloud","sql","kafka"]	Time zone: CET (+/- 3 hours)	2026-09-07T14:44:23-04:00	https://www.workingnomads.com/job/go/1843257/	About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. The Role: We are looking for a Senior SAP S/4HANA Developer on behalf of our client to lead backend and full-stack development within a modern S/4HANA enterprise landscape. In this role, you will take technical ownership of designing, building, and extending mission-critical SAP applications—leveraging modern development paradigms such as the ABAP RESTful Application Programming Model (RAP) and Core Data Services (CDS). You will drive modern, upgrade-stable SAP development by adhering strictly to "Clean Core" architectural guidelines. Rather than relying on legacy, modification-heavy ABAP patterns, you will build side-by-side extensions on SAP BTP, expose optimized OData services, push heavy calculations down to the in-memory SAP HANA database, and deliver intuitive user experiences via SAP Fiori. What we’re looking for: 5+ years of SAP development experience, with at least 3 years dedicated to S/4HANA, featuring expert command of Object-Oriented ABAP (OO-ABAP), New ABAP Syntax (7.4+), and RAP (ABAP RESTful Application Programming Model). Advanced proficiency authoring complex Core Data Services (CDS) Views, parameters, associations, access controls (DCL), and ABAP Managed Database Procedures (AMDP) for code push-down performance. Extensive expe	2026-09-08T06:30:30.931Z

That table lists every available column. With expandRows on, a single posting reads like this:

{
  "query": "development",
  "found": true,
  "status": "OK",
  "searchTerm": "development",
  "jobCount": 84,
  "totalInFeed": 512,
  "title": "Senior Python Engineer",
  "company": "Acme Remote",
  "categoryName": "Development",
  "tags": ["python", "django", "postgresql"],
  "location": "Europe",
  "postedAt": "2026-08-22T09:14:00Z",
  "url": "https://www.workingnomads.com/jobs/senior-python-engineer-acme",
  "description": "We're looking for a senior engineer to...",
  "scrapedAt": "2026-08-24T06:01:11.918Z"
}

A term nothing currently matches still returns a row, and is never charged:

{
  "query": "underwater-basket-weaving",
  "found": false,
  "status": "NOT_FOUND",
  "message": "No jobs in the current feed match this term.",
  "scrapedAt": "2026-08-24T06:01:11.918Z"
}

Miss rows are written so you can see exactly which terms failed rather than diffing your input list against the output. Set onlyFound to drop them.

Use it from Clay, n8n, Make, or an AI agent

This actor runs synchronously over plain HTTP — call it directly from a script, a workflow tool, or an AI agent, no Apify Console needed once you have an API token.

curl "https://api.apify.com/v2/acts/accountable_eel~workingnomads-jobs-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{"items":["development"]}'

n8n. Add an HTTP Request node: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~workingnomads-jobs-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body Content Type JSON, JSON Body {"items":["development"]} (swap in an expression from an earlier node for a real value).

Clay. Add an "HTTP API" column: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~workingnomads-jobs-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body {"items":["{{category or keyword search}}"]}, mapping the row's category or keyword search into the items array.

MCP. In Claude, Cursor, or any MCP client with the Apify MCP server, ask for "Working Nomads Jobs Lookup | Apify" — the agent will find and run this actor.

Tips

• Read jobCount against totalInFeed. It tells you whether your term is narrow or the feed itself is small that day.
• Broaden the term before concluding nothing is hiring. development will match where senior golang engineer won't — the match runs on category, tags, title and company, not on a full-text description search.
• Drop description with columns on big runs. It's truncated at 2,000 characters and is still the widest field by a wide margin.
• Re-run on a schedule and diff on url to catch new postings, since the feed is a rolling window rather than an archive.
• Batch terms into one run. The start fee is per run, so five terms in one run costs one start fee rather than five.

vs. alternatives

	What it costs	What you get	Trade-off
This actor (workingnomads-jobs-lookup)	$1 per 1,000 postings returned, $0.00005 actor start, nothing for a term that matches nothing	Every current posting matching a category or keyword — company, location, category, parsed tags, date, description — as one flat row	Rolling window, not an archive. Matching runs on category, tags, title and company rather than full description text.
automation-lab/working-nomads-jobs-scraper (4 users)	$0.0000747 per item, $0.005 start	Substantially cheaper per posting for the same source	Roughly a thirteenth of the per-posting price here. If cost per row is your binding constraint, that's the cheaper tool.
benthepythondev/remote-jobs-aggregator (693 users)	$0.015 per result, $0.01 per salary extracted, $0.00005 start	Aggregates many remote boards at once rather than one, with salary extraction	Fifteen times the per-posting price, but far broader coverage. If you want the whole remote market rather than one board, that breadth is the point.
Doing it yourself	Your time + finding the feed, stripping HTML, splitting tags, retries	The same data	This actor absorbs the parsing and the retries and hands you a flat table.

Competitor prices are their published FREE-tier list prices as of August 2026 and are not tracked here — check the actor's own page before relying on the comparison.

FAQ

What terms work as input? Categories like development, marketing, sales and design, and keywords like python or customer-support. Each is matched against the feed's category, tags, title and company.

How am I billed? Per job posting actually returned. A term nothing matches costs nothing beyond the per-run start fee.

Why did my search return nothing? Either the term is too specific, or nothing in the current feed matches it. This reads a rolling window of recent postings rather than a full archive, so try a broader term like development before concluding the category is empty.

Is description the full posting text? No — HTML is stripped and the text is truncated to 2,000 characters, which keeps rows usable in a spreadsheet. Use url to reach the full posting.

Can I look up a specific company? Only indirectly, by passing the company name as the term — it's matched against the company field. For proper company-keyed lookups, use one of the ATS actors in this catalogue.

Do I need a proxy? No. The feed is public and unauthenticated. proxyConfiguration is exposed if your own network policy requires it.

Can an AI agent call this directly? Yes — it's registered with the Apify MCP server. An agent with that MCP connected can find and run "Working Nomads Jobs Lookup" by name and get dataset rows back with no integration code.

Related actors

• Jobgether Jobs Lookup — the same category-keyed shape for Jobgether's remote-jobs categories.
• ATS Jobs Unified Lookup — company-keyed lookups across Greenhouse, Lever, Ashby, Workable and more.
• Greenhouse Jobs Lookup — every open role on a specific company's Greenhouse board.