# AI & ML Engineer Jobs Scraper: 10 Boards + Only New (`nomad-agent/ml-ai-dev-bundle`) Actor

$0.2/1K jobs | AI and ML engineer jobs from 10 boards in one run, including LinkedIn, Foorilla, Hacker News, Y Combinator, Built In and Remote OK, each with the full description. Default search keeps AI and ML titles plus roles a model check rates as AI or ML work. No login or API key.

- **URL**: https://apify.com/nomad-agent/ml-ai-dev-bundle.md
- **Developed by:** [Nomad.Devs](https://apify.com/nomad-agent) (community)
- **Categories:** Jobs, AI
- **Features:** Limited permissions
- **Stats:** 93 total users, 65 monthly users, 99.5% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 job results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AI & ML Engineer Jobs Scraper: 10 Boards + Only New

$0.2/1K jobs | AI and ML engineer jobs from 10 boards in one run, including LinkedIn, Foorilla, Hacker News, Y Combinator, Built In and Remote OK, each with the full description. Default search keeps AI and ML titles plus roles a model check rates as AI or ML work. No login or API key. Independent, unofficial tool. Not affiliated with or endorsed by the job boards and sites it reads.

### AI & ML Engineer Jobs Bulk Scraper

The scraper pulls AI and ML engineer jobs from 10 boards in one run. You can filter by keyword, location, work arrangement, employment type, and posting age. If you don't pass `queries`, it searches 19 default AI/ML phrases and only keeps a stored posting if the title contains one (like "AI", "ML", "machine learning", or "data scientist"), or if a separate model check of its public text clearly rates it as AI or ML work. LinkedIn is searched live and uses its own ranking. Your custom `queries` search both title and description. Every row includes the full original description in text and HTML. Good for AI talent feeds, ML hiring analytics, or alerts for ML engineer, data scientist, and applied scientist roles.

- Want every kind of job from 21 boards, not just AI and ML? Use [All Jobs Scraper (No Login) + 21 Boards in One](https://apify.com/nomad-agent/all-jobs-scraper).
- Need one AI board with its own page? [Foorilla AI Jobs Scraper — ML & Data Roles](https://apify.com/nomad-agent/foorilla-ai-jobs-scraper) reads Foorilla alone; this bundle adds nine more boards on top of it.
- Need LinkedIn only, searched deeply? Use [LinkedIn Jobs Scraper (No Cookies) + Full Descriptions](https://apify.com/nomad-agent/linkedin-scraper). Here LinkedIn is searched live for at most 6 query, location and work-arrangement combinations per run.
- Browse all our job-board scrapers: https://apify.com/nomad-agent

#### Key Benefits

- No login or API key: nothing to set up, no account of yours at risk, and no cookies to hand over.
- Low pricing: **$0.20 per 1,000 jobs** ($0.0002 per job), with lower rates on Scale and Business plans ($0.15 and $0.1 per 1,000), plus $0.00005 per run start.
- Full descriptions only: a posting with a missing or truncated description is never returned.
- AI and ML in the title by default: if you don't pass `queries` (the form doesn't), the run searches 19 built-in AI/ML phrases—machine learning, llm, ai, ml, data scientist, etc.—and keeps postings whose job title matches one, plus postings with other titles that a separate model check of the public text clearly rates as AI or ML work. LinkedIn handles its own ranking.
- No repeats across runs: schedule the same search daily and get only postings you have not received yet.

### How It Works

1. Provide your search. Every filter is optional, and an empty list means no filter:
   - (optional) Search queries (e.g., `machine learning`). A posting matches when its title or description contains every word of a query, as whole words.
   - (optional) Locations (e.g., `Europe`, `DE`, `Berlin`). Countries match by name, code and native name, and `EU` and `Europe` cover their member countries.
   - (optional) Work arrangement (`remote`, `hybrid`, `onsite`) and employment type (`Full-time`, `Part-time`, `Contract`, `Internship`).
   - (optional) Posted within (e.g., `24h`, `7d`, `2w`). Default is `any`.
2. Set how many jobs you want with `maxItems`.
3. Click Start. The form opens with `Europe` and 20 jobs and leaves `queries` out, so the 19 built-in AI and ML searches apply.

More settings:

- `maxItems` - Maximum number of jobs per run. Default is 200; `0`, or anything above 200, means 200.
- `maxItemsPerSource` - Caps how many postings each board contributes. Default is 50, at most 200. `maxItems` then keeps the newest postings across all boards.
- `dedupe` - On by default: postings already delivered to your Apify account for the same search are skipped. Set `dedupe.enabled` to `false` to get everything again, or set `dedupe.key` to keep separate alert histories.

Run the same search twice and the second run returns only new postings, possibly none. That is the repeat suppression working; turn `dedupe` off to see every posting again.

Coverage: Foorilla, Hacker News (Who is hiring), Y Combinator Work at a Startup, Built In, Remote OK, Remotive, We Work Remotely, Welcome to the Jungle and JustJoin.it are served from verified postings, and LinkedIn is read live on every run. Each row keeps its own `source`.

LinkedIn can be limited or blocked during a run. When that happens its rows are fewer than requested or missing, the other boards are still returned, `RUN-SUMMARY.unavailableSources` names LinkedIn, and the run is marked `partial`.

When you set work arrangement or employment type, a posting whose source does not state that fact is left out. Salary and hiring contacts are filled only when the source publishes them (none of the 10 rows in our test run had either), so treat them as bonus fields.

#### Data You'll Receive

- Job details: title, complete description (text and HTML), locations, posting date, deadline (when published), work arrangement, employment types, salary (when published).
- Employer: company name.
- Links: original posting URL.
- Hiring contacts: the people a source names, when it names any (otherwise an empty list).
- Identity: `source` and a stable `id`, so you can deduplicate across runs.

Rows use the `nomad-agent-job-row-v3` format, newest postings first. Unknown optional facts are `null`.

#### Sample output data

Here is an example job from this Actor (one row of our test run, description shortened):

```json
{
  "schemaVersion": "nomad-agent-job-row-v5",
  "source": "wttj",
  "id": "03bdd832-9087-4a49-9744-44973d23409c",
  "url": "https://www.welcometothejungle.com/en/companies/cgi/jobs/lead-ia-engineer-f-h_paris",
  "title": "Lead IA Engineer F/H",
  "company": "CGI",
  "locations": [
    "Paris, France"
  ],
  "countryCodes": [
    "FR"
  ],
  "applicantLocations": null,
  "postedAt": "2026-10-13",
  "deadline": null,
  "description": "Rejoignez CGI, l'une des plus grandes entreprises de conseil en technologie de l'information et en management au monde. En tant que Tech Lead IA, vous serez responsable de la conception, de l'industrialisation et de la gouvernance des solutions d'IA au sein de l'entreprise. Vous travaillerez sur des… [truncated for display]",
  "descriptionHtml": "Rejoignez CGI, l'une des plus grandes entreprises de conseil en technologie de l'information et en management au monde. En tant que Tech Lead IA, vous serez responsable de la conception, de l'industri… [truncated for display]",
  "workType": "hybrid",
  "salary": null,
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}
```

### AI & ML Engineer Jobs API

Results are stored in a dataset that you can export as CSV, JSON or Excel, or read on demand through the Apify API. A run summary, including any input field that was mapped or ignored, is written to the `RUN-SUMMARY` record of the run's key-value store.

#### Support and Feedback

We improve these scrapers from your feedback. If something breaks or you need a filter:

- Open an issue on the Actor's Issues tab
- If this Actor saved you time, a short review on the Store helps other users find it.

### Run evidence

#### Start with one input and output

An Apify account is required. Use your Apify API token when calling the API; Console runs do not need that token pasted into the input. No source login or AI-provider key is required for this quickstart. none.

Free-tier event rates checked 2026-10-04: `result` $0.0002; `actor-start` $0.00005.

**Cost:** Total = Actor event charges + platform usage if separately billed + any BYO-provider charges. See “Current costs” for your event rates, plan tiers and a calculation. A sample does not promise future billable volume.

Input and output below were read from the same successful run `DyYmLU0VKirHxroPg` (2026-10-03, immutable build `mZLMTeeYxJ5Z0jqEq`). This is an observed example, not a guarantee that repeating it returns this row. The input/output below are from a run before the November 2026 title filter, using the 14 earlier phrases. The output row only mentions AI in its description, so today's default search wouldn't find it.

**Input JSON**

```json
{
  "queries": [
    "machine learning",
    "deep learning",
    "artificial intelligence",
    "generative ai",
    "large language models",
    "llm",
    "nlp",
    "natural language processing",
    "computer vision",
    "reinforcement learning",
    "mlops",
    "data scientist",
    "applied scientist",
    "ml engineer"
  ],
  "locations": [],
  "locationTypes": [],
  "employmentTypes": [],
  "postedWithin": "any",
  "maxItems": 200,
  "maxItemsPerSource": 50,
  "dedupe": {
    "enabled": true,
    "key": ""
  },
  "schemaVersion": "nomad-agent-simple-inventory-search-v2"
}
```

**Matching output excerpt**

Long strings and arrays are shortened for display; this is not a complete dataset fixture.

```json
{
  "schemaVersion": "nomad-agent-job-row-v3",
  "source": "remote_boards",
  "id": "weworkremotely_gong-io-enterprise-revenue-architect",
  "url": "https://weworkremotely.com/remote-jobs/gong-io-enterprise-revenue-architect",
  "title": "Enterprise Revenue Architect",
  "company": "Gong.io",
  "locations": [
    "Anywhere in the World"
  ],
  "postedAt": "2026-10-02",
  "deadline": "2026-11-01",
  "description": "Headquarters:\nRemote (US)\n\nGong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agen… [truncated for display]",
  "descriptionHtml": "\n\n<p>\n  <strong>Headquarters:</strong> Remote (US)\n</p>\n\n<div class=\"content-intro\"><p>Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the G… [truncated for display]",
  "workType": "remote",
  "salary": null,
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}
```

Retained dedupe history can suppress previously returned postings. Keep a stable key and save your own history; an unchanged rerun can return zero new rows.

Recent AI and ML engineer jobs with complete original descriptions. Each row carries the source ID and URL, title, employer, locations, the original description as text and HTML, posting date, deadline, work arrangement, employment type, salary and the hiring contacts the source names, whenever the source publishes them. Unknown optional facts are `null`; an empty `locations` array means the source names no physical place, and an empty `hiringContacts` array means the source names nobody. `locations` is where the job is, `countryCodes` lists the countries of those places as ISO 3166-1 two-letter codes (`null` when no place has a known country), and `applicantLocations` is where an applicant may live, for example a remote job open only to residents of some countries: it is `null` when the source states nothing and `[]` when it states no restriction. `workType` is set only when the source names exactly one arrangement and is `null` when it names several, such as remote or hybrid; `locationTypes` matches a posting when any arrangement it names is selected.

Coverage includes these public job sources: Foorilla Hiring (formerly aijobs.net); Hacker News Who is hiring; Y Combinator's Work at a Startup; Built In; Remote OK, Remotive and We Work Remotely; Welcome to the Jungle; JustJoin.it. LinkedIn is also served, fetched live on every run. Each row keeps its own `source`. Every posting is verified before it is served. A posting with a missing, truncated or unverified description is never returned: every row has the full original text. LinkedIn results use the requested search filters. Each posting still has its full description or it is left out. LinkedIn may limit or block a run, so its rows can be fewer than requested or missing: the other boards are still returned, `RUN-SUMMARY.unavailableSources` names LinkedIn, and the run is marked `partial`.

Without `queries` (or the older `keyword`), it searches 19 default AI/ML phrases under Input and keeps a posting if its job title contains one. A company blurb that just mentions AI doesn't count anymore. We also keep postings with different titles, like AI platform or data engineering roles, if a separate model check of the public text clearly rates them as AI or ML work. That check runs every six hours, so new postings can show up a few hours later. Hacker News postings only use the title rule. For that check, the public text of postings is sent to an outside AI service; your searches and results never are. LinkedIn is the exception: it's searched live for six of those phrases and keeps its own relevance ranking. Your own `queries` still match in the title and description. Built In coverage is limited to the supported category, which is narrower than the whole site.

LinkedIn is searched live for at most 6 combinations of query, location and work arrangement per run. With the default `queries` it searches a curated subset of them, `computer vision`, `artificial intelligence`, `ml engineer`, `deep learning`, `machine learning` and `generative ai`, while the other boards use all of them. Naming several `locations` or `locationTypes` shares the six searches, so each location gets fewer of those phrases: two locations get the first three each, three get the first two, and four to six get the first phrase only. With your own `queries`, or more than six locations and work arrangements together, combinations beyond the sixth are not searched: the last locations you list can get no LinkedIn rows, the run is marked `partial`, and `RUN-SUMMARY.unavailableSources` says how many combinations were searched.

#### Input

```json
{"schemaVersion": "nomad-agent-simple-inventory-search-v2", "queries": ["machine learning", "deep learning", "artificial intelligence", "generative ai", "computer vision", "natural language processing", "reinforcement learning", "ml engineer", "data scientist", "data science", "applied scientist", "research scientist", "mlops", "llm", "nlp", "genai", "ai", "ml", "ia"], "locations": ["Europe"], "locationTypes": ["remote"], "employmentTypes": [], "postedWithin": "7d", "maxItems": 200, "maxItemsPerSource": 50, "dedupe": {"enabled": true, "key": ""}}
```

Every filter is optional, and an empty list means no filter. Filters are applied to all available postings before `maxItems` is counted.

- `queries`: a posting matches a query when its title or description contains every word of it, as whole words, ignoring case. A posting matches when any query matches. **Default:** a run that sets neither `queries` nor the older `keyword` searches for AI and ML engineer roles with these queries: `machine learning`, `deep learning`, `artificial intelligence`, `generative ai`, `computer vision`, `natural language processing`, `reinforcement learning`, `ml engineer`, `data scientist`, `data science`, `applied scientist`, `research scientist`, `mlops`, `llm`, `nlp`, `genai`, `ai`, `ml`, `ia`. On the stored boards it also keeps only postings whose job title contains one of them, or that a separate model check of the public text clearly rates as AI or ML work (Hacker News: title only). Your own `queries` or `keyword` replace them and are matched in the title and the description, and an empty list means no query filter.
- `locations`: a city, region, country name or two-letter ISO country code. Countries match by name, code and native name (`Germany`, `DE` and `Deutschland` find the same postings), and `EU` and `Europe` cover their member countries.
- `locationTypes` (`remote`, `hybrid`, `onsite`) and `employmentTypes` (`Full-time`, `Part-time`, `Contract`, `Internship`): while one is set, a posting whose source does not state that fact is left out.
- `postedWithin`: a positive duration in hours (`h`), days (`d`), weeks (`w`) or 30-day months (`m`), up to 36500 days, or `any`. Postings without a source date use the date they were first seen, which later refreshes never reset.
- `maxItems` defaults to 200; 0, or anything above 200, means 200.
- `maxItemsPerSource` (default 50, at most 200) caps how many postings each source contributes; `maxItems` then keeps the newest postings across all sources.
- `dedupe` suppresses postings already delivered to the same Apify account for the same search; different filters keep separate histories. Set `dedupe.enabled` to `false` to get stateless results, or set `dedupe.key` to keep separate alert histories.

#### Output

One flat row per posting in the `nomad-agent-job-row-v5` format: `schemaVersion`, `source`, `id`, `url`, `title`, `company`, `locations`, `countryCodes`, `applicantLocations`, `postedAt`, `deadline`, `description`, `descriptionHtml`, `workType`, `salary`, `employmentTypes`, `hiringContacts`. `employmentTypes` lists the types the source states (`Full-time`, `Part-time`, `Contract`, `Internship`) or is `null`. `countryCodes` lists the countries of the job's places as ISO 3166-1 alpha-2 codes (for example `DE`, `FR`), in the same order as `locations`, each once. A code comes from the source if it states one, otherwise from the place label. It's `null` when no place has a known country (a remote job with no country, or an unidentifiable place) and never an empty list. A place without a known country adds nothing, so the list can name fewer countries than there are places. A posting stored on a single-country board with no place at all carries that board's country, so `locations` can be `[]` while `countryCodes` names one. Postings read live from LinkedIn's public pages always have `countryCodes: null`. Those pages give a place label but no country code, so only stored postings carry a code. The `locations` filter matches countries against these codes as well as names and text. `applicantLocations` lists the regions where the source says an applicant may live (for example `United States` for a remote job open to US residents), `null` when it states nothing and `[]` when it states no restriction. Each hiring contact has a `name`, and a `title` and `url` or `null`. Newest postings come first. A run summary, including any input field that was mapped or ignored, is written to the `RUN-SUMMARY` record of the run's key-value store.

#### Changes

- **November 2026: We now include AI and ML roles under other titles.** The default search also keeps a stored posting if its title lacks the usual phrases but a separate check of its public text clearly rates it as AI or ML work. That check refreshes every six hours, so new postings can show up a few hours late. Hacker News postings still rely on titles only. Your custom `queries`, LinkedIn, and repeat-delivery history are unchanged.
- **November 2026: the default AI and ML search keeps AI and ML job titles.** Previously, a run with no specific search matched 14 phrases in either the title or description, so postings where the company text just mentioned AI would show up. Now it searches 19 phrases—including `ai`, `ml`, `genai`, and `ia`—and only keeps a posting if its job title contains one. Your custom `queries` still match both title and description, and LinkedIn (searched live for six of the default phrases) is unchanged. Using the default phrases starts a new repeat-delivery history, so postings you've already received might appear once more. Any task, schedule, or integration saved with the old 14 default phrases is now read as the default search.
- **October 2026: `countryCodes` added (row v5).** Rows are now `nomad-agent-job-row-v5`: one new field, `countryCodes`, lists the ISO 3166-1 alpha-2 country codes of the job's places, in the order of `locations`, each once (`null` when no place has a known country, never an empty list). A code is the country the source states, or if it doesn't state one, the country read from the place label. A place whose country can't be determined adds nothing. Postings read live from LinkedIn carry `null`; its public pages show a place label but no country code. `locations` and `applicantLocations` are unchanged. Input, other fields, and pricing are unchanged. Integrations validating against the v4 schema must allow the new field and the new `schemaVersion`.
- **October 2026: `applicantLocations` added (row v4).** Rows are now `nomad-agent-job-row-v4`: one new field, `applicantLocations`, lists where an applicant may live as the source states it (`null` when the source states nothing, `[]` when it states no restriction). `locations` is unchanged and still the physical place only; for a remote job open to some regions it is often `[]` while `applicantLocations` lists the regions. Input, other fields and pricing are unchanged. Integrations that validate rows against the v3 schema must allow the new field and the new `schemaVersion`.
- **October 2026: new row format.** Rows are now `nomad-agent-job-row-v3` (15 fields) instead of `nomad-agent-job-row-v1`. Postings come from the available postings of seven boards (Foorilla, Hacker News, Y Combinator, Built In, RemoteOK/Remotive/We Work Remotely, WTTJ and JustJoin.it), and LinkedIn is read live on every run. Pricing is unchanged.
- **Removed from every row:** `recordType`, `custom`, `warnings`, `docs`, `snippet` (the text is in `description` and `descriptionHtml`), `seniority`, `isRemote`, `remoteType` (use `workType`), `location` (use `locations`), `salaryMin`, `salaryMax`, `salaryCurrency` and `salaryPeriod` (the source's salary text stays in `salary`), `employmentType` (now the `employmentTypes` array, `null` when unknown), and `hiringContactName`, `hiringContactTitle` and `hiringContactUrl` (now `hiringContacts`, a list of `name`, `title` and `url`).
- **Input:** `queries`, `locations`, `locationTypes`, `employmentTypes`, `postedWithin` and `maxItemsPerSource` (default 50, was 36) filter the search, and `maxItems` defaults to 200 (was 288). `keyword` becomes `queries` and replaces the AI/ML default. `sources`, `cacheTtlSeconds`, `concurrency`, `runTimeoutSecs` and `apifyToken` are ignored with a note in `RUN-SUMMARY`. All supported boards remain included.
- **Repeats:** a posting you already received from this Actor for the same search is no longer returned again by default, where the earlier Actor only removed repeats within one run. Set `dedupe.enabled` to `false` for stateless results.
- **Source and ID changes:** postings from aijobs.net now carry `source: "foorilla"` (was `ai_jobs_net`). Remote board ids now start with the board name, for example `remoteok_123`, so a consumer that keys on `(source, id)` can receive postings it already has once more.
- **Board coverage:** Hacker News serves the current "Who is hiring?" thread only, and the full-text `searchQuery` mode is gone. Built In coverage is limited to the supported category. LinkedIn is fetched live, for a curated subset of the AI/ML phrases and at most 6 query, location and work arrangement combinations per run (see above), and can be limited or unavailable, in which case the run is `partial`; the other boards are still returned.

#### Fast setup and source code

[Public repository](https://github.com/Exdenta/nomad-agent-job-scrapers) · [Agent setup skill](https://github.com/Exdenta/OinkAIJobSearch/blob/main/.agents/skills/public-apify-actors/SKILL.md).

Use the Actor’s current input form for filters, or start with its documented API example. Select the `latest` build. Read the dataset together with the run summary: a successful status alone does not show that every source was reached.

Restrictive filters or repeat-delivery suppression can produce zero results.

##### Observed output example

Selected fields from a real source record inspected on 2026-10-03; consult the output schema for the full contract. Values change with the source.

```json
{
  "schemaVersion": "nomad-agent-job-row-v3",
  "source": "justjoinit",
  "id": "accenture-industry-x---engineering-platform-integration-agile-product-implementation-analyst-consultant-gn--warszawa-pm",
  "url": "https://justjoin.it/job-offer/accenture-industry-x---engineering-platform-integration-agile-product-implementation-analyst-consultant-gn--warszawa-pm",
  "title": "Industry X – Engineering Platform Integration &amp; Agile Product Implementation Analyst/Consultant (GN)",
  "company": "Accenture",
  "locations": [
    "Warszawa, PL"
  ],
  "postedAt": "2026-10-01",
  "deadline": "2026-11-30",
  "workType": "hybrid",
  "salary": null,
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}
```

#### Product guides and related tools

- [Guide and starter input on nomadagent.dev](https://nomadagent.dev/actors/ml-ai-dev-bundle)
- [Product overview and public links](https://jobatlas.dev/actors/directory/source-jobs#nomad-agent-ml-ai-dev-bundle)
- [Public setup guide](https://github.com/Exdenta/jobatlas/blob/main/docs/public-actors-setup.md)
- [Job Atlas job-data tools](https://jobatlas.dev/actors)
- [Oink personal job alerts](https://oinkjobsearch.com/)
- [Search ten job boards with one API call](https://oinkjobsearch.com/articles/search-ten-job-boards-with-one-api-call/)

#### Current costs

Current Actor event rates, checked 2026-10-16. USD; use the **Pricing** tab for your plan and later changes.

| Event | Free | Bronze | Silver | Gold | Platinum | Diamond |
|---|---:|---:|---:|---:|---:|---:|
| Job result (`result`) | $0.0002 | $0.0002 | $0.00015 | $0.0001 | $0.0001 | $0.0001 |
| Actor start (`actor-start`) | $0.00005 | $0.00005 | $0.00005 | $0.00005 | $0.00005 | $0.00005 |

For example, 100 × `result`, 1 × `actor-start` totals **$0.02005 in Actor event charges on Free**. This is an arithmetic example, before any waiver; actual charged events depend on the run and selected options. It is not a promise of output or a charge for simply setting an item cap.

Your total is the charged Actor events, plus platform usage **only if this Actor’s Pricing tab bills it separately**, plus any external provider you use with your own key. Do not add platform usage twice when it is included. Apify credits and plan discounts affect your invoice. Set a run cost limit in Console before starting.

***

**Independent tool.** We built and run this Actor ourselves. The job boards and sites it reads do not operate, sponsor or endorse it, and their names are used only to say where the data comes from.

# Actor input Schema

## `queries` (type: `array`):

Match postings whose title or description contains every word of a query, as whole words, ignoring case. A posting matches when any query matches. Words match as the posting wrote them, so where postings are not in English, add the local term as a further query. Empty: no filter. Default: queries that find AI and ML engineer roles; replace them with your own, or clear the list to search every posting. With the defaults, a stored posting also needs one of those terms in its job title, or a high score from a separate AI and ML relevance check of its text (Hacker News: title only). Your custom queries match against both title and description.

## `locations` (type: `array`):

City, region, country name or two-letter ISO country code. Countries match by name, code or native name; EU and Europe expand to their countries. A posting also matches when the source names the place as somewhere an applicant may live (`applicantLocations`). Empty: no filter.

## `locationTypes` (type: `array`):

remote, hybrid or onsite. A posting matches when any arrangement it names is selected; `workType` in the row is set only when the source names exactly one. Postings whose arrangement the source does not state are left out. Empty: no filter.

## `employmentTypes` (type: `array`):

Full-time, Part-time, Contract or Internship. Postings whose type the source does not state are left out. Empty: no filter.

## `postedWithin` (type: `string`):

Positive duration in hours, days, weeks, or 30-day months, at most 36500 days; any disables the filter. Uses the first inventory admission date when the source has no posting date.

## `maxItems` (type: `integer`):

Maximum returned jobs. Zero, or anything above 200, means 200.

## `maxItemsPerSource` (type: `integer`):

Most postings any one source contributes, at most 200. maxItems then keeps the newest postings across sources.

## `dedupe` (type: `object`):

Suppress confirmed repeat deliveries for the same Apify user and search.

## `schemaVersion` (type: `string`):

Version marker for database-only simple job search. Version 1 inputs remain valid.

## Actor input object example

```json
{
  "queries": [
    "machine learning",
    "deep learning",
    "artificial intelligence",
    "generative ai",
    "computer vision",
    "natural language processing",
    "reinforcement learning",
    "ml engineer",
    "data scientist",
    "data science",
    "applied scientist",
    "research scientist",
    "mlops",
    "llm",
    "nlp",
    "genai",
    "ai",
    "ml",
    "ia"
  ],
  "locations": [
    "Europe"
  ],
  "locationTypes": [],
  "employmentTypes": [],
  "postedWithin": "any",
  "maxItems": 20,
  "maxItemsPerSource": 5,
  "dedupe": {
    "enabled": true,
    "key": ""
  },
  "schemaVersion": "nomad-agent-simple-inventory-search-v2"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runSummary` (type: `string`):

One record describing this run: what was attempted, what was delivered, and anything that degraded. Written to the run's key-value store under RUN-SUMMARY.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "locations": [
        "Europe"
    ],
    "postedWithin": "any",
    "maxItems": 20,
    "maxItemsPerSource": 5,
    "dedupe": {
        "enabled": true,
        "key": ""
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("nomad-agent/ml-ai-dev-bundle").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "locations": ["Europe"],
    "postedWithin": "any",
    "maxItems": 20,
    "maxItemsPerSource": 5,
    "dedupe": {
        "enabled": True,
        "key": "",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("nomad-agent/ml-ai-dev-bundle").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "locations": [
    "Europe"
  ],
  "postedWithin": "any",
  "maxItems": 20,
  "maxItemsPerSource": 5,
  "dedupe": {
    "enabled": true,
    "key": ""
  }
}' |
apify call nomad-agent/ml-ai-dev-bundle --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nomad-agent/ml-ai-dev-bundle"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3NcZZ1KxyIoXvvOzN/builds/dwLIvztxfyRIYOCAj/openapi.json
