# ILOSTAT Scraper (`crawlerbros/ilostat-scraper`) Actor Scrape ILO labour statistics (unemployment, employment, labour force participation) via the World Bank WDI API which publishes ILO Modelled Estimates. Supports 17+ indicators across 170+ countries with year-range filtering. - **URL**: https://apify.com/crawlerbros/ilostat-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ILOSTAT Scraper Extract ILO (International Labour Organization) labour statistics including unemployment rates, employment ratios, labour force participation rates, and more — covering 170+ countries with annual data going back to 1991. Data is sourced from the **ILO Modelled Estimates database (ILOEST)** published through the World Bank World Development Indicators (WDI) public REST API. Every record explicitly cites the ILO as its origin. ### Features - **17+ labour indicators** — unemployment (total/male/female), employment ratio, labour force participation, self-employment, vulnerable employment, child labour, GDP per worker - **170+ countries** — all World Bank member states - **Annual time series** — filter by start/end year (2000–2024) - **Sex breakdown** — filter by total, male, or female where data is available - **Browse mode** — search available indicators before fetching data - **No authentication required** — 100% public API ### Input | Field | Type | Description | Example | |-------|------|-------------|---------| | `mode` | select | `searchIndicators` or `getIndicatorData` | `getIndicatorData` | | `indicatorId` | string | Indicator code (see table below) | `SL.UEM.TOTL.ZS` | | `countryCode` | string | ISO3 country code | `USA` | | `startYear` | integer | Earliest year | `2018` | | `endYear` | integer | Latest year | `2022` | | `sex` | select | `SEX_T`, `SEX_M`, `SEX_F`, or `""` (all) | `SEX_T` | | `maxItems` | integer | Max records to return | `100` | #### Available Indicators | Indicator ID | Description | Sex | |---|---|---| | `SL.UEM.TOTL.ZS` | Unemployment, total (%) | Total | | `SL.UEM.TOTL.MA.ZS` | Unemployment, male (%) | Male | | `SL.UEM.TOTL.FE.ZS` | Unemployment, female (%) | Female | | `SL.UEM.NEET.ZS` | Youth NEET rate, total (%) | Total | | `SL.TLF.TOTL.IN` | Labour force, total persons | Total | | `SL.TLF.CACT.ZS` | Labour force participation rate, total (%) | Total | | `SL.TLF.CACT.MA.ZS` | Labour force participation rate, male (%) | Male | | `SL.TLF.CACT.FE.ZS` | Labour force participation rate, female (%) | Female | | `SL.EMP.TOTL.SP.ZS` | Employment to population ratio, total (%) | Total | | `SL.EMP.SELF.ZS` | Self-employed, total (%) | Total | | `SL.EMP.VULN.ZS` | Vulnerable employment, total (%) | Total | | `SL.GDP.PCAP.EM.KD` | GDP per person employed (2017 PPP $) | Total | ### Output Each record contains: | Field | Type | Description | |-------|------|-------------| | `indicatorId` | string | World Bank/ILO indicator code | | `indicatorLabel` | string | Human-readable indicator name | | `countryCode` | string | ISO3 country code | | `countryName` | string | Country name | | `period` | string | Year (e.g. `"2022"`) | | `value` | float | Observed value | | `sex` | string | Sex breakdown (`Total`, `Male`, `Female`) | | `unit` | string | Unit of measurement | | `category` | string | Category (`unemployment`, `employment`, etc.) | | `frequency` | string | Data frequency (`A` = annual) | | `sourceUrl` | string | Source URL | | `recordType` | string | Always `"indicator"` | | `scrapedAt` | string | ISO 8601 timestamp | ### Example Output ```json { "indicatorId": "SL.UEM.TOTL.ZS", "indicatorLabel": "Unemployment, total (% of total labour force)", "countryCode": "USA", "countryName": "United States", "period": "2022", "value": 3.65, "sex": "Total", "unit": "% of total labour force", "category": "unemployment", "frequency": "A", "sourceUrl": "https://ilostat.ilo.org/data/", "recordType": "indicator", "scrapedAt": "2025-01-01T12:00:00+00:00" } ```` ### FAQ **Q: Where does the data come from?** A: Data is sourced from the ILO Modelled Estimates database (ILOEST) published through the World Bank WDI public API. The World Bank API explicitly cites the ILO as the source organisation. **Q: How current is the data?** A: The World Bank WDI dataset is updated periodically (typically annually). Most indicators have data through 2023–2025. **Q: What country codes should I use?** A: Use ISO3 codes as used by the World Bank: `USA`, `GBR`, `DEU`, `JPN`, `CHN`, `BRA`, `IND`, `FRA`, etc. **Q: Can I get data for multiple countries at once?** A: Run separate actor calls per country, or use `maxItems` to control volume. A future version will support multi-country batch fetching. **Q: Why are some years missing?** A: Some country-indicator combinations have data gaps. The actor only emits observations where a non-null value is available. **Q: Is there a rate limit?** A: The World Bank API is public and generous. For large batch jobs, the actor adds small delays between requests. # Actor input Schema ## `mode` (type: `string`): What to fetch: browse available indicators, or download time-series data for a specific indicator + country. ## `indicatorId` (type: `string`): World Bank / ILO indicator code. Examples: SL.UEM.TOTL.ZS (unemployment total), SL.TLF.CACT.ZS (labour force participation), SL.EMP.TOTL.SP.ZS (employment ratio). Use searchIndicators mode to browse all available codes. ## `countryCode` (type: `string`): World Bank ISO3 country code. Examples: USA, GBR, DEU, JPN, CHN, BRA, IND. Use the same codes as the World Bank API. ## `startYear` (type: `integer`): Earliest year to include in the data series. ## `endYear` (type: `integer`): Latest year to include in the data series. ## `sex` (type: `string`): Filter results by sex breakdown. Leave empty to return all breakdowns available for the indicator. ## `maxItems` (type: `integer`): Maximum number of records to emit. ## Actor input object example ```json { "mode": "searchIndicators", "indicatorId": "SL.UEM.TOTL.ZS", "countryCode": "USA", "startYear": 2018, "endYear": 2022, "sex": "", "maxItems": 100 } ``` # Actor output Schema ## `indicators` (type: `string`): Dataset containing all scraped ILO labour statistics records. # 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 = { "mode": "searchIndicators", "indicatorId": "SL.UEM.TOTL.ZS", "countryCode": "USA", "startYear": 2018, "endYear": 2022, "sex": "", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/ilostat-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 = { "mode": "searchIndicators", "indicatorId": "SL.UEM.TOTL.ZS", "countryCode": "USA", "startYear": 2018, "endYear": 2022, "sex": "", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/ilostat-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 '{ "mode": "searchIndicators", "indicatorId": "SL.UEM.TOTL.ZS", "countryCode": "USA", "startYear": 2018, "endYear": 2022, "sex": "", "maxItems": 100 }' | apify call crawlerbros/ilostat-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/ilostat-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ILOSTAT Scraper", "description": "Scrape ILO labour statistics (unemployment, employment, labour force participation) via the World Bank WDI API which publishes ILO Modelled Estimates. Supports 17+ indicators across 170+ countries with year-range filtering.", "version": "1.0", "x-build-id": "VbEakjiaKtCGdY5po" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~ilostat-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-ilostat-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~ilostat-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-ilostat-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~ilostat-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-ilostat-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "searchIndicators", "getIndicatorData" ], "type": "string", "description": "What to fetch: browse available indicators, or download time-series data for a specific indicator + country.", "default": "searchIndicators" }, "indicatorId": { "title": "Indicator ID", "type": "string", "description": "World Bank / ILO indicator code. Examples: SL.UEM.TOTL.ZS (unemployment total), SL.TLF.CACT.ZS (labour force participation), SL.EMP.TOTL.SP.ZS (employment ratio). Use searchIndicators mode to browse all available codes." }, "countryCode": { "title": "Country Code (ISO3)", "type": "string", "description": "World Bank ISO3 country code. Examples: USA, GBR, DEU, JPN, CHN, BRA, IND. Use the same codes as the World Bank API." }, "startYear": { "title": "Start Year", "minimum": 2000, "maximum": 2024, "type": "integer", "description": "Earliest year to include in the data series.", "default": 2018 }, "endYear": { "title": "End Year", "minimum": 2000, "maximum": 2024, "type": "integer", "description": "Latest year to include in the data series.", "default": 2022 }, "sex": { "title": "Sex Filter", "enum": [ "SEX_T", "SEX_M", "SEX_F", "" ], "type": "string", "description": "Filter results by sex breakdown. Leave empty to return all breakdowns available for the indicator.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of records to emit.", "default": 100 } } }, "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 } } } } } } } } } } ```