# AcademicPositions Job Scraper — EU Academic Jobs (`nomad-agent/academicpositions-scraper`) Actor Scrape postdoc jobs, PhD positions & faculty jobs from academicpositions.com (EU, UK & Switzerland). A real browser via residential proxy passes Cloudflare. Returns title, institution, location, field, salary, posted date & apply URL — with delta mode for new-only scheduled runs. - **URL**: https://apify.com/nomad-agent/academicpositions-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.50 / 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 ## AcademicPositions Job Scraper — EU Academic Jobs Fetch postdoc, PhD, faculty and early-career-researcher openings from **academicpositions.com**, covering institutions across the EU, UK and Switzerland. ### How it works academicpositions.com sits behind Cloudflare's bot protection, so this Actor drives a real headless browser (Playwright/Chromium) through an Apify **Residential** proxy to load pages the same way a person's browser would. Each posting is parsed from the page's structured `JobPosting` data (schema.org JSON-LD), with a plain-HTML fallback for the rare page that omits it — so results stay accurate even as the site's front-end layout changes. ### What data does this Actor extract? Each result is one flat JSON record per job posting: | Field | Type | Description | |---|---|---| | `title` | string | Job title as posted | | `company` | string \| null | Hiring institution name | | `location` | string \| null | Posting location (city/region/country, or "remote" wording for remote roles) | | `field` | string \| null | Research area / discipline the posting itself labels (e.g. "Physics", "Life sciences"), read verbatim from JSON-LD `occupationalCategory`/`industry` or a discipline chip — never inferred from the title | | `url` | string | Direct link to the posting | | `postedAt` | string \| null | Posting date (ISO 8601, e.g. `"2026-06-20"`), when the source provides one | | `snippet` | string \| null | Plain-text excerpt of the job description | | `salary` | string \| null | Human-readable pay summary (e.g. `"3000-4200 EUR MONTH"`), only when the posting discloses `baseSalary` — most academic postings don't, so usually `null` | | `salaryMin` / `salaryMax` | number \| null | Structured pay range endpoints from JSON-LD `baseSalary`, when present | | `salaryCurrency` | string \| null | Currency code for the salary range (e.g. `"EUR"`), when present | | `globalId` | string \| null | Stable cross-run id (`academicpositions:`) — the dedup key for delta mode | | `isNew` | boolean \| null | Only present in delta mode (`onlyNewSinceLastRun`) — always `true` (already-seen postings are dropped, never emitted with `isNew: false`) | | `source` | string | Always `"academicpositions"` | Fields come back as `null` (never an empty string) on the rare posting where the source doesn't provide that piece of data. ### How to scrape academicpositions.com with this Actor 1. Click **Try for free** / **Run** — the default input needs no changes. 2. Optionally set a `keyword`, `countryFilter` or `postedSince` to narrow results, and adjust `maxItems`. 3. Run it and export the dataset as JSON, CSV or Excel, or read it over the [API](https://docs.apify.com/api/v2). Run it from your own code: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/academicpositions-scraper").call( run_input={"maxItems": 30, "keyword": "machine learning postdoc"}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "—", item["company"], item["url"]) ```` Or a single HTTP call that runs the Actor and returns items in one response: ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~academicpositions-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 30}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `keyword` | string | *(empty)* | Free-text query appended to the listing URL (e.g. "postdoc", "computer science"). Leave empty to scrape the default listing. | | `countryFilter` | string | *(empty)* | Case-insensitive substring match on the extracted `location` field (e.g. "Germany"). Applied client-side, after extraction. Leave empty to keep every location. | | `postedSince` | string | *(empty)* | Only return postings dated on or after this date (`YYYY-MM-DD`). Postings without a parseable date are kept, not dropped. Leave empty to disable. | | `maxItems` | integer | `30` | Maximum number of postings to return. Each returned posting is billed as one dataset result — capped at `500` per run. | | `onlyNewSinceLastRun` | boolean | `false` | Delta / monitoring mode: only return postings not already seen on a previous run made with this flag on. Already-seen postings are dropped before push, so you are never billed for them (see "Delta mode / monitoring"). | | `proxyConfiguration` | object | Apify Residential proxy | Proxy used to load the site. Keep the Residential group selected — academicpositions.com blocks non-residential IPs. | | `startUrl` *(Advanced)* | string | `https://academicpositions.com/find-jobs` | The listing page the Actor starts from and harvests job links from. Change only to start from a specific saved-search URL instead of the default listing. | | `detailUrlContains` *(Advanced)* | string | `/ad/` | Only links whose URL contains this text are treated as job-detail pages. Change only if the site's URL structure changes and the Actor stops finding postings. | | `useResidentialProxy` *(Advanced, deprecated)* | boolean | `true` | Superseded by `proxyConfiguration` above. Still honored when `proxyConfiguration` is left unset, for older integrations. | ### Output example ```json { "title": "Postdoctoral Researcher in Quantum Computing", "company": "TU Delft", "location": "Delft, Netherlands", "field": "Physics", "url": "https://academicpositions.com/ad/tu-delft/2026/postdoctoral-researcher-in-quantum-computing/12345", "postedAt": "2026-06-20", "snippet": "Join our lab working on superconducting qubits and scalable quantum error correction...", "salary": null, "salaryMin": null, "salaryMax": null, "salaryCurrency": null, "globalId": "academicpositions:ad/tu-delft/2026/postdoctoral-researcher-in-quantum-computing/12345", "source": "academicpositions" } ``` ### Delta mode / monitoring Set `onlyNewSinceLastRun: true` to turn this Actor into a "what's new" monitor. Postings already delivered on a previous run made with this flag on are dropped before the billed push step — you are not charged for them — so pairing this with an Apify **schedule** (cron) means every run only returns, and only bills for, academic jobs that appeared since the last flagged run. Each emitted record is stamped `isNew: true`. How it works: seen postings are tracked in a dedicated key-value store keyed by each posting's `globalId` (a stable id derived from its canonical detail-page URL), capped at ~50,000 entries with the oldest evicted first. The first run made with the flag on has nothing to compare against, so it emits everything. There is no `isNew: false` in the output — unseen-yet postings simply aren't included. ### Pricing Pay per event: **$0.02 per Actor start** and **$0.008 per posting returned** ($8 / 1,000 postings, less on higher Apify plans — down to $6.50 / 1,000). 100 postings ≈ $0.82. No subscription, no rental — you pay only for what you fetch. The price covers the real headed browser + residential proxy each run needs to pass Cloudflare. This Actor also routes every request through Apify's **Residential** proxy group (required to get past academicpositions.com's bot protection), which is billed separately by Apify against your account's residential proxy GB allowance in addition to the per-event charges above. ### Integrations Export results as JSON, CSV or Excel, pull them via the [Apify API](https://docs.apify.com/api/v2) or `run-sync-get-dataset-items`, wire this Actor into Make, Zapier or n8n, or call it from AI agents through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp). ### Use cases - Academic job boards and alert bots for postdocs, PhD candidates and faculty - University career-services aggregation - Research on hiring trends across EU/UK/CH institutions - Building a searchable database of research openings ### FAQ **Is it legal to scrape academicpositions.com?** This Actor reads only publicly available job postings — data any visitor can see without logging in. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on academicpositions.com?** No. Postings are fetched from public pages — no login, cookies or session tokens required. **Why does this Actor need a residential proxy?** academicpositions.com fronts its pages with Cloudflare Bot Fight Mode, which blocks datacenter IPs outright. A residential exit IP plus a real browser is what reliably gets through the challenge. **How fresh is the data?** Every run fetches live listings directly from the site — there's no cache. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and reliability fixes ship fast. ### Related Actors - [Research & Academic Jobs Scraper — 10 Sources](https://apify.com/nomad-agent/researcher-bundle) - [UN Careers Job Scraper](https://apify.com/nomad-agent/un-careers-scraper) - [EURAXESS Jobs Scraper — EU Researcher Mobility](https://apify.com/nomad-agent/euraxess-scraper) - [Impactpool Jobs Scraper — UN & NGO Careers](https://apify.com/nomad-agent/impactpool-scraper) *** **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 ## `keyword` (type: `string`): Optional free-text query appended to the listing URL (e.g. postdoc, computer science). Leave empty to scrape the default listing. ## `countryFilter` (type: `string`): Only keep postings whose location text contains this value (case-insensitive), e.g. Germany or Netherlands. Matched against the location the actor already extracted from each posting. Leave empty to keep every location. ## `postedSince` (type: `string`): Only return postings dated on or after this date. Postings whose posted date can't be read are still included, not silently dropped. Leave empty to disable the filter. ## `maxItems` (type: `integer`): Maximum number of postings to return. Each returned posting is billed as one dataset result — start small (e.g. the default of 30) while testing, then raise the limit. ## `onlyNewSinceLastRun` (type: `boolean`): Delta / monitoring mode: only return postings not already seen on a previous run that also had this flag on. Already-seen postings are dropped before they're pushed (so they're never billed) — the cheapest way to run this Actor on a schedule and pay only for genuinely new academic jobs. State is tracked per Actor in a dedicated key-value store, keyed by each posting's stable globalId. See the README "Delta mode" section. ## `proxyConfiguration` (type: `object`): Proxy used to load academicpositions.com. The site blocks non-residential IPs via Cloudflare Bot Fight Mode, so keep the Residential proxy group selected for reliable results. ## `startUrl` (type: `string`): The listing page the actor opens first and harvests job links from. Change this only if you want to start from a specific saved search or filtered listing URL on academicpositions.com instead of the default Find jobs page. ## `detailUrlContains` (type: `string`): Only follow links whose URL contains this text — used to filter listing-page links down to individual job-detail pages. The default (/ad/) matches academicpositions.com's current URL pattern; change it only if the site's URL structure changes and the actor stops finding postings. ## `useResidentialProxy` (type: `boolean`): Deprecated — use the Proxy configuration field above instead. Kept only for backward compatibility: if Proxy configuration is left unset, this flag decides whether the actor routes through Apify's Residential proxy group (recommended) or connects directly (likely to be blocked). ## Actor input object example ```json { "keyword": "machine learning postdoc", "countryFilter": "Netherlands", "maxItems": 30, "onlyNewSinceLastRun": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "startUrl": "https://academicpositions.com/find-jobs", "detailUrlContains": "/ad/", "useResidentialProxy": true } ``` # 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/academicpositions-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/academicpositions-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/academicpositions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/academicpositions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AcademicPositions Job Scraper — EU Academic Jobs", "description": "Scrape postdoc jobs, PhD positions & faculty jobs from academicpositions.com (EU, UK & Switzerland). A real browser via residential proxy passes Cloudflare. Returns title, institution, location, field, salary, posted date & apply URL — with delta mode for new-only scheduled runs.", "version": "0.1", "x-build-id": "0R5tvlygBLDlZqi67" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~academicpositions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-academicpositions-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~academicpositions-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-academicpositions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~academicpositions-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-academicpositions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword", "type": "string", "description": "Optional free-text query appended to the listing URL (e.g. postdoc, computer science). Leave empty to scrape the default listing." }, "countryFilter": { "title": "Country / location filter", "type": "string", "description": "Only keep postings whose location text contains this value (case-insensitive), e.g. Germany or Netherlands. Matched against the location the actor already extracted from each posting. Leave empty to keep every location." }, "postedSince": { "title": "Posted since", "type": "string", "description": "Only return postings dated on or after this date. Postings whose posted date can't be read are still included, not silently dropped. Leave empty to disable the filter." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of postings to return. Each returned posting is billed as one dataset result — start small (e.g. the default of 30) while testing, then raise the limit.", "default": 30 }, "onlyNewSinceLastRun": { "title": "Only new since last run", "type": "boolean", "description": "Delta / monitoring mode: only return postings not already seen on a previous run that also had this flag on. Already-seen postings are dropped before they're pushed (so they're never billed) — the cheapest way to run this Actor on a schedule and pay only for genuinely new academic jobs. State is tracked per Actor in a dedicated key-value store, keyed by each posting's stable globalId. See the README \"Delta mode\" section.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used to load academicpositions.com. The site blocks non-residential IPs via Cloudflare Bot Fight Mode, so keep the Residential proxy group selected for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "startUrl": { "title": "Start URL", "type": "string", "description": "The listing page the actor opens first and harvests job links from. Change this only if you want to start from a specific saved search or filtered listing URL on academicpositions.com instead of the default Find jobs page.", "default": "https://academicpositions.com/find-jobs" }, "detailUrlContains": { "title": "Detail link pattern", "type": "string", "description": "Only follow links whose URL contains this text — used to filter listing-page links down to individual job-detail pages. The default (/ad/) matches academicpositions.com's current URL pattern; change it only if the site's URL structure changes and the actor stops finding postings.", "default": "/ad/" }, "useResidentialProxy": { "title": "Use residential proxy (deprecated)", "type": "boolean", "description": "Deprecated — use the Proxy configuration field above instead. Kept only for backward compatibility: if Proxy configuration is left unset, this flag decides whether the actor routes through Apify's Residential proxy group (recommended) or connects directly (likely to be blocked).", "default": true } } }, "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 } } } } } } } } } } ```