# Bea Economic Scraper (`quarterly_jingo/bea-economic-scraper`) Actor - **URL**: https://apify.com/quarterly\_jingo/bea-economic-scraper.md - **Developed by:** [Petey Boy](https://apify.com/quarterly_jingo) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## BEA Economic Data Scraper Extracts data from the Bureau of Economic Analysis (BEA) REST API, covering GDP, personal income, regional statistics, international trade, and more. ### What data can you get? - **NIPA** - National Income and Product Accounts (GDP, personal income, savings rates) - **Regional** - State, county, and MSA-level economic data - **GDPbyIndustry** - GDP broken down by industry sector - **ITA** - International Transactions (trade balance, exports, imports) - **IIP** - International Investment Position - **FixedAssets** - Fixed asset tables (depreciation, capital stock) ### Getting a BEA API Key 1. Visit [https://apps.bea.gov/api/signup/](https://apps.bea.gov/api/signup/) 2. Enter your name and email 3. You'll receive a 36-character UserID (API key) instantly The key is free with no approval process. ### Example Input #### Real GDP (Annual, Last 5 Years) ```json { "apiKey": "YOUR-36-CHAR-API-KEY", "dataset": "NIPA", "tableName": "T10101", "frequency": "A", "year": "LAST5" } ```` #### State Personal Income ```json { "apiKey": "YOUR-36-CHAR-API-KEY", "dataset": "Regional", "tableName": "SAINC1", "lineCode": 1, "geoFips": "STATE", "year": "LAST5" } ``` #### GDP by Industry ```json { "apiKey": "YOUR-36-CHAR-API-KEY", "dataset": "GDPbyIndustry", "tableID": 1, "industry": "ALL", "frequency": "A", "year": "LAST5" } ``` ### Output Each record contains: - `dataset` - Source dataset name - `tableName` - Table identifier - `timePeriod` - Year or quarter (e.g. "2023", "2023Q2") - `geoName` - Geographic area (if applicable) - `dataValue` - The numeric value - `unit` - Unit of measurement - Additional fields vary by dataset ### Rate Limits The BEA API allows 100 requests/minute and 100MB/minute. This actor makes a single request per run, so rate limits are not a concern for typical usage. # Actor input Schema ## `apiKey` (type: `string`): Your BEA API key (UserID). Get one free at https://apps.bea.gov/api/signup/ ## `dataset` (type: `string`): Which BEA dataset to query. ## `tableName` (type: `string`): Table identifier. For NIPA: T10101 (Real GDP), T10105 (Nominal GDP), T20100 (Personal Income). For Regional: SAINC1 (State Income), CAINC1 (County Income), SAGDP1 (State GDP). ## `frequency` (type: `string`): Data frequency: A (Annual), Q (Quarterly), M (Monthly). Comma-separate for multiple. ## `year` (type: `string`): Year(s) to retrieve. Comma-separate for multiple, or use LAST5, LAST10, ALL, X. ## `geoFips` (type: `string`): For Regional dataset only. Use STATE for all states, COUNTY for all counties, MSA for all MSAs, or specific 5-digit FIPS code. ## `lineCode` (type: `integer`): For Regional dataset only. Line code for the statistic within the table. ## `industry` (type: `string`): For GDPbyIndustry dataset. Use ALL for all industries. ## `tableID` (type: `integer`): Numeric table ID for GDPbyIndustry dataset. ## `maxItems` (type: `integer`): Maximum number of records to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Usually not needed for this public API. ## Actor input object example ```json { "dataset": "NIPA", "tableName": "T10101", "frequency": "A", "year": "LAST5", "geoFips": "STATE", "industry": "ALL", "maxItems": 1000, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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("quarterly_jingo/bea-economic-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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("quarterly_jingo/bea-economic-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call quarterly_jingo/bea-economic-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quarterly_jingo/bea-economic-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bea Economic Scraper", "description": "", "version": "1.0", "x-build-id": "nSG4sngkAVORLG3yc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quarterly_jingo~bea-economic-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quarterly_jingo-bea-economic-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/quarterly_jingo~bea-economic-scraper/runs": { "post": { "operationId": "runs-sync-quarterly_jingo-bea-economic-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/quarterly_jingo~bea-economic-scraper/run-sync": { "post": { "operationId": "run-sync-quarterly_jingo-bea-economic-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": [ "apiKey" ], "properties": { "apiKey": { "title": "BEA API Key", "type": "string", "description": "Your BEA API key (UserID). Get one free at https://apps.bea.gov/api/signup/" }, "dataset": { "title": "Dataset", "enum": [ "NIPA", "Regional", "GDPbyIndustry", "ITA", "IIP", "FixedAssets" ], "type": "string", "description": "Which BEA dataset to query.", "default": "NIPA" }, "tableName": { "title": "Table Name", "type": "string", "description": "Table identifier. For NIPA: T10101 (Real GDP), T10105 (Nominal GDP), T20100 (Personal Income). For Regional: SAINC1 (State Income), CAINC1 (County Income), SAGDP1 (State GDP).", "default": "T10101" }, "frequency": { "title": "Frequency", "type": "string", "description": "Data frequency: A (Annual), Q (Quarterly), M (Monthly). Comma-separate for multiple.", "default": "A" }, "year": { "title": "Year(s)", "type": "string", "description": "Year(s) to retrieve. Comma-separate for multiple, or use LAST5, LAST10, ALL, X.", "default": "LAST5" }, "geoFips": { "title": "Geographic FIPS Code", "type": "string", "description": "For Regional dataset only. Use STATE for all states, COUNTY for all counties, MSA for all MSAs, or specific 5-digit FIPS code." }, "lineCode": { "title": "Line Code", "type": "integer", "description": "For Regional dataset only. Line code for the statistic within the table." }, "industry": { "title": "Industry", "type": "string", "description": "For GDPbyIndustry dataset. Use ALL for all industries.", "default": "ALL" }, "tableID": { "title": "Table ID (Numeric)", "type": "integer", "description": "Numeric table ID for GDPbyIndustry dataset." }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of records to return.", "default": 1000 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Usually not needed for this public API.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```