# BLS Salary & Employment Data Scraper (`lulzasaur/bls-scraper`) Actor Scrape Bureau of Labor Statistics for salary, employment, and wage data. Uses BLS Public Data API for OES occupational stats by area and industry. - **URL**: https://apify.com/lulzasaur/bls-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## BLS Salary & Employment Data Scraper Scrape the [Bureau of Labor Statistics](https://www.bls.gov/) Public Data API for salary, employment, wage, and consumer price data. ### Features - **Occupational Wages (OES)**: Mean/median hourly and annual wages, employment counts, percentile wages by occupation code - **Industry Employment (CES)**: Employment, weekly hours, and hourly earnings by industry sector - **Consumer Price Index (CPI)**: CPI data for food, housing, medical, energy, gasoline, and overall - **Custom Series**: Query any BLS series ID directly ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `occupational` (default), `industry`, `cpi`, or `custom` | | `occupations` | string[] | SOC codes like `15-1252` (Software Developers) | | `areaCode` | string | BLS area code (default: `0000000` = National) | | `industryCode` | string | NAICS code (default: `000000` = All Industries) | | `startYear` | integer | Start year (default: 2020) | | `endYear` | integer | End year (default: 2024) | | `customSeriesIds` | string[] | Custom BLS series IDs for `custom` mode | ### Common SOC Occupation Codes | Code | Occupation | |------|-----------| | `00-0000` | All Occupations | | `15-1252` | Software Developers | | `29-1141` | Registered Nurses | | `13-2011` | Accountants and Auditors | | `53-3032` | Truck Drivers | | `47-2111` | Electricians | | `11-1021` | General/Operations Managers | ### Output Example ```json { "occupation": "Software Developers", "occupationCode": "15-1252", "area": "National", "industry": "All Industries", "year": 2024, "employment": 1795300, "meanHourlyWage": 63.45, "meanAnnualWage": 131990, "medianHourlyWage": 59.46, "medianAnnualWage": 123710, "pct10AnnualWage": 74930, "pct90AnnualWage": 199450, "source": "BLS Occupational Employment and Wage Statistics (OES)" } ```` ### Use Cases - Salary benchmarking and negotiation research - Labor market analysis - Cost of living comparisons - Economic trend tracking - HR and recruiting market intelligence ### Cost This actor uses pay-per-event pricing at $0.005 per result. # Actor input Schema ## `mode` (type: `string`): Type of BLS data to retrieve. ## `occupations` (type: `array`): SOC occupation codes for occupational mode. e.g. \["15-1252" for Software Developers, "29-1141" for Registered Nurses]. See bls.gov/oes for codes. ## `areaCode` (type: `string`): BLS area code. 0000000 = National, 0000003 = States only, or specific FIPS MSA code (e.g. 0031080 for LA). Default: National. ## `industryCode` (type: `string`): NAICS industry code for industry mode. 000000 = All Industries (cross-industry), 510000 = Information, 620000 = Health Care. ## `startYear` (type: `integer`): Start year for data range (BLS API v2 supports up to 20 years). ## `endYear` (type: `integer`): End year for data range. ## `customSeriesIds` (type: `array`): Custom BLS series IDs for 'custom' mode. Max 50 per request. See bls.gov/data for series ID formats. ## `proxyConfiguration` (type: `object`): Optional proxy configuration. ## Actor input object example ```json { "mode": "occupational", "occupations": [ "15-1252" ], "areaCode": "0000000", "industryCode": "000000", "startYear": 2020, "endYear": 2024 } ``` # 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 = { "occupations": [ "15-1252" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/bls-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 = { "occupations": ["15-1252"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/bls-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 '{ "occupations": [ "15-1252" ] }' | apify call lulzasaur/bls-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/bls-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BLS Salary & Employment Data Scraper", "description": "Scrape Bureau of Labor Statistics for salary, employment, and wage data. Uses BLS Public Data API for OES occupational stats by area and industry.", "version": "1.0", "x-build-id": "1wfBhtBaiAxaFlKY5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~bls-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-bls-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/lulzasaur~bls-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-bls-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/lulzasaur~bls-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-bls-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": { "mode": { "title": "Data Mode", "enum": [ "occupational", "industry", "cpi", "custom" ], "type": "string", "description": "Type of BLS data to retrieve.", "default": "occupational" }, "occupations": { "title": "Occupation Codes", "type": "array", "description": "SOC occupation codes for occupational mode. e.g. [\"15-1252\" for Software Developers, \"29-1141\" for Registered Nurses]. See bls.gov/oes for codes.", "items": { "type": "string" } }, "areaCode": { "title": "Area Code", "type": "string", "description": "BLS area code. 0000000 = National, 0000003 = States only, or specific FIPS MSA code (e.g. 0031080 for LA). Default: National.", "default": "0000000" }, "industryCode": { "title": "Industry Code", "type": "string", "description": "NAICS industry code for industry mode. 000000 = All Industries (cross-industry), 510000 = Information, 620000 = Health Care.", "default": "000000" }, "startYear": { "title": "Start Year", "minimum": 2000, "maximum": 2026, "type": "integer", "description": "Start year for data range (BLS API v2 supports up to 20 years).", "default": 2020 }, "endYear": { "title": "End Year", "minimum": 2000, "maximum": 2026, "type": "integer", "description": "End year for data range.", "default": 2024 }, "customSeriesIds": { "title": "Custom Series IDs", "type": "array", "description": "Custom BLS series IDs for 'custom' mode. Max 50 per request. See bls.gov/data for series ID formats.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy configuration." } } }, "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 } } } } } } } } } } ```