# Impactpool Jobs Scraper — UN & NGO Careers (`nomad-agent/impactpool-scraper`) Actor Extract vacancies from Impactpool.org, the career platform for UN agencies, NGOs and international organisations. Records include title, organisation, duty station, deadline and apply URL. Built for impact-sector job boards, career coaches and researchers. - **URL**: https://apify.com/nomad-agent/impactpool-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Impactpool Jobs Scraper — UN & NGO Careers Fetch mission-driven vacancies — UN agencies, INGOs, development banks — from Impactpool.org. ### What Impactpool data does this scraper extract? Each result is one flat JSON record per job posting: | Field | Meaning | |---|---| | `id` | Stable source-side identifier (ImpactPool job ID) | | `title` | Job title as posted | | `company` | Hiring organisation | | `location` | Duty station / location (defaults to "Worldwide" when the card doesn't list one) | | `seniority` | Seniority level as shown on the card (e.g. "Senior - Senior level") | | `url` | Direct link to the posting | | `snippet` | Organisation — location — seniority, joined as a short summary line | | `source` | Always `"impactpool"` | Note: ImpactPool's search-listing cards do not carry a posting date or an application deadline anywhere in the page markup this Actor fetches (confirmed by inspecting the live page — no date field of any kind is present), so this Actor does not emit `postedAt` or `deadline`. Individual job *detail* pages do show a closing date, but fetching one detail page per result would multiply requests ~40x per run; that's not implemented here. ### How to scrape Impactpool with this Actor 1. Click **Try for free** / **Run** — no login to the target site, no cookies, no proxies to configure. 2. Adjust the input (keyword, filters, `maxItems`) or keep the defaults. 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/impactpool-scraper").call(run_input={"maxItems": 50}) 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~impactpool-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 50}' ``` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `keyword` | string | `""` | Free-text search to bias results toward specific roles, sectors or topics (e.g. "policy", "programme manager", "migration", "consultant"). Leave empty to return the latest global feed. | | `locationFilter` | string | `""` | Only keep postings whose location/duty station text contains this (case-insensitive). Applied after fetching, on top of the keyword search. Leave empty to keep all locations. | | `maxItems` | integer | `40` | Maximum number of openings to return, across as many pages as it takes; billed per result returned. Set 0 to keep every posting the search returns (bounded by an internal safety cap on pages fetched). | | `cacheTtlSeconds` | integer | `1800` | *(Advanced)* Reuse the last fetched page for this many seconds instead of contacting ImpactPool again, so quick repeat runs are faster and cheaper. Set 0 to always fetch a fresh page. | ### Output example ```json { "id": "1223429", "title": "Head of Office / Local Representative - KfW Office in Antananarivo (Madagascar)", "company": "KfW Banque de Développement", "location": "Antananarivo", "seniority": "Senior Executive - Senior Executive level", "url": "https://www.impactpool.org/jobs/1223429", "snippet": "KfW Banque de Développement — Antananarivo — Senior Executive - Senior Executive level", "source": "impactpool" } ``` ### Pricing Pay per event: **$0.05 per Actor start** and **$0.004 per job returned**. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch. ### Integrations Export the dataset as JSON, CSV or Excel from the Console, pull it over the [Apify API](https://docs.apify.com/api/v2) (including `run-sync-get-dataset-items` for a single blocking call), wire it into Make/Zapier/n8n, or drive it from an AI agent via the [Apify MCP server](https://apify.com/apify/actors-mcp-server). ### Use cases - Impact-sector job boards and alert bots - Career coaching for international-development careers - Fellowship and JPO tracking - Diversity of duty-station analysis ### FAQ **Is it legal to scrape Impactpool?** This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on the target site?** No. Postings are fetched from public pages/APIs — no login, cookies or session tokens. **How fresh is the data?** Every run fetches live listings. Results are cached for `cacheTtlSeconds` (default 30 min, set 0 to always hit the source live). **How many jobs can I get?** This Actor pages through ImpactPool's search results (roughly 40 postings per page) until it has `maxItems` postings or the listing runs out. `maxItems` trims the result count if you want fewer; `locationFilter` narrows further. **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 — United Nations Jobs](https://apify.com/nomad-agent/un-careers-scraper) - [ReliefWeb Jobs Scraper — Humanitarian & NGO](https://apify.com/nomad-agent/reliefweb-scraper) - [Devex Jobs Scraper — International Development](https://apify.com/nomad-agent/devex-scraper) # Actor input Schema ## `keyword` (type: `string`): Free-text search to bias results toward specific roles, sectors or topics (e.g. "policy", "programme manager", "migration", "consultant"). Leave empty to return the latest global feed. ## `locationFilter` (type: `string`): Only keep postings whose location/duty station text contains this (case-insensitive). Applied after fetching, on top of the keyword search. Leave empty to keep all locations. ## `maxItems` (type: `integer`): Maximum number of openings to return, paging through the search listing as needed; you're billed per result returned. Set 0 to keep every posting the search returns (bounded by an internal safety cap on pages fetched). ## `cacheTtlSeconds` (type: `integer`): Reuse the last fetched page for this many seconds instead of contacting ImpactPool again, so quick repeat runs are faster and cheaper. Set 0 to always fetch a fresh page. ## Actor input object example ```json { "keyword": "policy research", "locationFilter": "Geneva", "maxItems": 40, "cacheTtlSeconds": 1800 } ``` # 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/impactpool-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/impactpool-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/impactpool-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/impactpool-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Impactpool Jobs Scraper — UN & NGO Careers", "description": "Extract vacancies from Impactpool.org, the career platform for UN agencies, NGOs and international organisations. Records include title, organisation, duty station, deadline and apply URL. Built for impact-sector job boards, career coaches and researchers.", "version": "0.1", "x-build-id": "A9i7ayOcg8hW38CCQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~impactpool-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-impactpool-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~impactpool-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-impactpool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~impactpool-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-impactpool-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Free-text search to bias results toward specific roles, sectors or topics (e.g. \"policy\", \"programme manager\", \"migration\", \"consultant\"). Leave empty to return the latest global feed." }, "locationFilter": { "title": "Location filter", "type": "string", "description": "Only keep postings whose location/duty station text contains this (case-insensitive). Applied after fetching, on top of the keyword search. Leave empty to keep all locations." }, "maxItems": { "title": "Max items", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum number of openings to return, paging through the search listing as needed; you're billed per result returned. Set 0 to keep every posting the search returns (bounded by an internal safety cap on pages fetched).", "default": 40 }, "cacheTtlSeconds": { "title": "Cache TTL (seconds)", "minimum": 0, "type": "integer", "description": "Reuse the last fetched page for this many seconds instead of contacting ImpactPool again, so quick repeat runs are faster and cheaper. Set 0 to always fetch a fresh page.", "default": 1800 } } }, "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 } } } } } } } } } } ```