# All Jobs Scraper — 19 Job Boards in One (`nomad-agent/all-jobs-scraper`) Actor 19 job boards behind one endpoint, no API keys: LinkedIn, AI Jobs, Built In, remote boards, Hacker News, YC, WTTJ, JustJoin.IT, No Fluff Jobs, InfoJobs, Tecnoempleo, EURES, EURAXESS, jobs.ac.uk, Ikerbasque, UN Careers, ReliefWeb, Impactpool and more. One merged, deduped dataset. - **URL**: https://apify.com/nomad-agent/all-jobs-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 4 total users, 2 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## All Jobs Scraper - 19 Job Boards in One One call for live job data across the whole market. This bundle scrapes 19 job boards inside a single Actor run, merges their results, dedupes by URL, and returns one flat dataset — tech, remote, Europe, academic and international-organisation jobs together. This is an unofficial scraper bundle. It is not affiliated with LinkedIn, Hacker News, Y Combinator, EURES, EURAXESS, the United Nations, or any other listed board or employer. ### Sources included | Source key | Coverage | |---|---| | `linkedin` | LinkedIn public job search | | `ai_jobs_net` | AI, ML and data jobs | | `builtin` | US tech and startup jobs from Built In | | `remote_boards` | RemoteOK, Remotive, WeWorkRemotely and Himalayas | | `hackernews` | Hacker News Who Is Hiring | | `ycombinator_was` | Y Combinator Work at a Startup | | `wttj` | Welcome to the Jungle (France/EU tech) | | `justjoinit` | JustJoin.IT (Poland/EU tech) | | `nofluffjobs` | No Fluff Jobs (Poland/EU tech) | | `infojobs` | InfoJobs (Spain) | | `tecnoempleo` | Tecnoempleo (Spain tech) | | `eures` | EURES - the EU-wide public job portal | | `euraxess` | EURAXESS research and academic positions | | `jobs_ac_uk` | jobs.ac.uk (UK academic and research) | | `ikerbasque` | Ikerbasque research positions (Basque Country) | | `math_ku_phd` | University of Copenhagen mathematics PhD calls | | `un_careers` | United Nations careers | | `reliefweb` | ReliefWeb humanitarian jobs | | `impactpool` | Impactpool international-development jobs | No API keys are needed for any source — every board is scraped without bring-your-own-key requirements. Company ATS Actors like Greenhouse, Lever, Ashby and Workable are not included because they require buyer-supplied company lists. Wellfound and Academic Positions are excluded because they need full-browser anti-bot sessions that do not fit this bundle's lightweight in-process design. ### How the bundle works This is a bundle Actor. Every selected source is scraped inside this Actor's own run — no separate child-actor runs, no stacked fees. Each source's records are mapped onto one shared schema, deduped by URL across all boards, and pushed as one merged output. Each source fails open independently: if one board errors or times out, the other sources still return. Use `sources` to run a cheaper subset, `keyword` to filter sources that support free-text search, and `location` to focus location-aware sources (LinkedIn, AI Jobs, UN Careers, Impactpool); leave it empty for worldwide results. ### Incremental mode Turn on `incrementalMode` for scheduled alerts. The bundle remembers listing URLs it has already delivered in a key-value store on your own Apify account. Later runs skip those already-seen postings and do not charge this bundle's per-result event for them. ### Input example ```json { "keyword": "software engineer", "maxItemsPerSource": 10, "maxItems": 50 } ```` ### Output fields Each normal row uses the same flat bundle schema: ```json { "source": "linkedin", "id": "123456", "title": "Software Engineer", "company": "Example Inc.", "location": "Berlin, Germany", "url": "https://example.com/job/123456", "postedAt": "2026-07-07", "deadline": "", "snippet": "Short posting excerpt...", "salary": "" } ``` Fields a source does not provide are returned as empty strings rather than guessed. ### Python client ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/all-jobs-scraper").call(run_input={ "keyword": "engineer", "maxItems": 50, }) items = client.dataset(run["defaultDatasetId"]).list_items().items print(len(items), items[:1]) ``` ### cURL ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~all-jobs-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"keyword":"engineer","maxItems":50}' ``` ### Cost note You pay only this bundle's pay-per-event pricing: one actor-start per run plus one result event per unique job delivered. All 19 sources are scraped in-process — there are no additional child-actor charges and no API keys to buy. Use `sources`, `maxItemsPerSource` and `maxItems` to control spend, and a "Maximum cost per run" limit is honored (the run stops delivering at the cap). *** **From the maker of [Oink](https://github.com/Exdenta/OinkAIJobSearch)** — an open-source, AI-powered job-search bot for Telegram that runs on these Actors. [Try the free bot](https://t.me/job_search_everyday_bot), get a managed instance at [oinkjobsearch.com](https://oinkjobsearch.com), or browse the [full catalog of 50+ Actors](https://apify.com/nomad-agent). # Actor input Schema ## `sources` (type: `array`): Which boards to include. Leave empty to run the full default set. All sources are scraped inside this Actor's own run and billed only at this bundle's pricing - no separate child-actor fees and no API keys. Fewer sources means a faster, cheaper run. ## `keyword` (type: `string`): Optional free-text filter forwarded to boards that support keyword search (LinkedIn, AI Jobs, YC, EURES, jobs.ac.uk, WTTJ, ReliefWeb and more). Boards without keyword search ignore it and return their newest postings. ## `location` (type: `string`): Optional location text forwarded to boards that support location filtering (LinkedIn, AI Jobs, UN Careers, Impactpool). Leave empty for worldwide results; other boards keep their native regional coverage either way. ## `incrementalMode` (type: `boolean`): Return only postings this bundle has not already delivered on a previous run. The bundle remembers every listing URL it returned in a private key-value store on your own Apify account. The first run returns everything; turn this on for scheduled daily or weekly alerts. ## `maxItemsPerSource` (type: `integer`): Cap on items fetched from each board before merging. Cost driver: every item is billed by this bundle once it survives deduping. ## `maxItems` (type: `integer`): Hard cap on the merged, deduped output. Default (380) is sources x Max items per source. Set 0 to remove the cap; cost then scales with every source's raw output. ## `cacheTtlSeconds` (type: `integer`): How long to reuse results already fetched from a source instead of fetching again. Set 0 to always fetch fresh data. ## `concurrency` (type: `integer`): How many source boards to fetch at the same time. ## `runTimeoutSecs` (type: `integer`): How long to wait for each source before giving up on it. Sources run in parallel, so this is a per-source ceiling, not a budget shared across them. ## `apifyToken` (type: `string`): Leave empty - injected automatically when this Actor runs on the Apify platform. Only set this when running the code outside the platform. ## Actor input object example ```json { "sources": [ "linkedin", "ai_jobs_net", "builtin", "remote_boards", "hackernews", "ycombinator_was", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "eures", "euraxess", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "un_careers", "reliefweb", "impactpool" ], "incrementalMode": false, "maxItemsPerSource": 20, "maxItems": 380, "cacheTtlSeconds": 1800, "concurrency": 6, "runTimeoutSecs": 300 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/all-jobs-scraper").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nomad-agent/all-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nomad-agent/all-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/all-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "All Jobs Scraper — 19 Job Boards in One", "description": "19 job boards behind one endpoint, no API keys: LinkedIn, AI Jobs, Built In, remote boards, Hacker News, YC, WTTJ, JustJoin.IT, No Fluff Jobs, InfoJobs, Tecnoempleo, EURES, EURAXESS, jobs.ac.uk, Ikerbasque, UN Careers, ReliefWeb, Impactpool and more. One merged, deduped dataset.", "version": "0.1", "x-build-id": "Z4ERrgoL8RKWuABk9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~all-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-all-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~all-jobs-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-all-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~all-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-all-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sources": { "title": "Sources", "type": "array", "description": "Which boards to include. Leave empty to run the full default set. All sources are scraped inside this Actor's own run and billed only at this bundle's pricing - no separate child-actor fees and no API keys. Fewer sources means a faster, cheaper run.", "items": { "type": "string", "enum": [ "linkedin", "ai_jobs_net", "builtin", "remote_boards", "hackernews", "ycombinator_was", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "eures", "euraxess", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "un_careers", "reliefweb", "impactpool" ] }, "default": [ "linkedin", "ai_jobs_net", "builtin", "remote_boards", "hackernews", "ycombinator_was", "wttj", "justjoinit", "nofluffjobs", "infojobs", "tecnoempleo", "eures", "euraxess", "jobs_ac_uk", "ikerbasque", "math_ku_phd", "un_careers", "reliefweb", "impactpool" ] }, "keyword": { "title": "Keyword", "type": "string", "description": "Optional free-text filter forwarded to boards that support keyword search (LinkedIn, AI Jobs, YC, EURES, jobs.ac.uk, WTTJ, ReliefWeb and more). Boards without keyword search ignore it and return their newest postings." }, "location": { "title": "Location", "type": "string", "description": "Optional location text forwarded to boards that support location filtering (LinkedIn, AI Jobs, UN Careers, Impactpool). Leave empty for worldwide results; other boards keep their native regional coverage either way." }, "incrementalMode": { "title": "Only new since last run", "type": "boolean", "description": "Return only postings this bundle has not already delivered on a previous run. The bundle remembers every listing URL it returned in a private key-value store on your own Apify account. The first run returns everything; turn this on for scheduled daily or weekly alerts.", "default": false }, "maxItemsPerSource": { "title": "Max items per source", "type": "integer", "description": "Cap on items fetched from each board before merging. Cost driver: every item is billed by this bundle once it survives deduping.", "default": 20 }, "maxItems": { "title": "Max items (total)", "type": "integer", "description": "Hard cap on the merged, deduped output. Default (380) is sources x Max items per source. Set 0 to remove the cap; cost then scales with every source's raw output.", "default": 380 }, "cacheTtlSeconds": { "title": "Cache time (seconds)", "type": "integer", "description": "How long to reuse results already fetched from a source instead of fetching again. Set 0 to always fetch fresh data.", "default": 1800 }, "concurrency": { "title": "Concurrency", "type": "integer", "description": "How many source boards to fetch at the same time.", "default": 6 }, "runTimeoutSecs": { "title": "Per-source timeout (seconds)", "type": "integer", "description": "How long to wait for each source before giving up on it. Sources run in parallel, so this is a per-source ceiling, not a budget shared across them.", "default": 300 }, "apifyToken": { "title": "Apify API token", "type": "string", "description": "Leave empty - injected automatically when this Actor runs on the Apify platform. Only set this when running the code outside the platform." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```