# GSA Per Diem Rates Scraper — Federal Travel Lodging & Meals (`compute-edge/gsa-per-diem-scraper`) Actor Extract official U.S. General Services Administration (GSA) per diem CONUS lodging and meals rates by city, county, state, and month for federal travel reimbursement. - **URL**: https://apify.com/compute-edge/gsa-per-diem-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **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. 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 ## GSA Per Diem Rates Scraper — Federal Travel Lodging & Meals Extract official **U.S. General Services Administration (GSA) per diem rates** for federal travel reimbursement: maximum monthly lodging rates and meals & incidental expenses (M&IE) for every CONUS city, county, and state. Powers expense-management policies, T&E benchmarking, and government contractor billing. GSA publishes per diem rates that the federal government and many private employers use as the standard reimbursement ceiling for business travel. Rates vary by month and location (e.g. Washington DC peaks in March–June and September–November; resort towns spike in tourist season). This scraper turns the official GSA API into structured rows you can plug straight into a finance system, BI tool, or CRM. ### What you get Each output row is one (city/county, state) destination with all twelve monthly lodging rates and the daily meals & incidental rate. Pre-computed fields (`lodgingMin`, `lodgingMax`, `lodgingAvg`, `lodgingSeasonality`) make it trivial to rank locations by cost and seasonality. | Field | Description | |-------|-------------| | `fiscalYear` | U.S. federal fiscal year (Oct 1 of prior year through Sep 30) | | `state` | USPS state code | | `city` | Per diem destination city (or "Standard Rate") | | `county` | County name when applicable | | `destinationId` | GSA destination identifier (DID) | | `isStandardRate` | `true` if this is the state-wide standard-rate fallback | | `lodgingMin` / `lodgingMax` / `lodgingAvg` | Min / max / average monthly lodging rate (USD) | | `lodgingSeasonality` | Max minus min — useful for ranking peak-season cities | | `mealsRate` | Daily meals & incidental rate (USD) | | `lodgingJan` … `lodgingDec` | Month-by-month maximum lodging rate (USD) | ### How to scrape GSA per diem rates 1. Click **Try for free** to start a run with the default fiscal year (FY24). 2. Optionally narrow with `stateFilter`, `cityFilter`, `minLodgingRate`. 3. Run — results land in the dataset as JSON / CSV / Excel / Markdown. For higher volume, sign up for a free [api.data.gov key](https://api.data.gov/signup/) and pass it in the `apiKey` field; otherwise the actor uses `DEMO_KEY` (rate-limited to ~30 requests/hour). ### Pricing $0.003 per result. A full FY24 CONUS pull (~400 destinations) costs less than $1.50 in result fees plus minimal compute. Apify compute is billed separately. ### Example input ```json { "fiscalYear": 2024, "stateFilter": "CA", "minLodgingRate": 200, "maxResults": 0 } ```` ### Example output ```json { "fiscalYear": 2024, "state": "CA", "city": "San Francisco", "county": "San Francisco", "destinationId": "65", "isStandardRate": false, "lodgingMin": 263, "lodgingMax": 391, "lodgingAvg": 314.5, "lodgingSeasonality": 128, "mealsRate": 92, "lodgingJan": 263, "lodgingFeb": 263, "lodgingMar": 391, "lodgingApr": 391 } ``` ### Other actors you might like - `fhwa-nbi-bridges-scraper` — National Bridge Inventory (highway infrastructure) - `bts-flight-performance-scraper` — Flight on-time performance from BTS - `treasury-fiscal-scraper` — U.S. Treasury fiscal data - `fred-economic-scraper` — Federal Reserve FRED economic series ### FAQ **Q: Why doesn't it cover OCONUS / foreign rates?** A: GSA only publishes CONUS (continental U.S.) rates. OCONUS and foreign rates come from the Department of Defense and State Department respectively — different APIs. **Q: How fresh is the data?** A: GSA publishes new fiscal-year rates each August/September. The actor pulls live from `api.gsa.gov`, so any in-year rate change appears immediately. **Q: Why does my output sometimes say "Standard Rate" with a `null` city?** A: Each state has a fallback "Standard Rate" applied to non-listed counties. Filter with `isStandardRate=false` if you only want named cities. ### Legal Data is sourced from the public U.S. General Services Administration per diem API. This actor is not affiliated with or endorsed by GSA. For questions about the underlying rates, contact GSA at https://www.gsa.gov/travel/plan-book/per-diem-rates. This actor is offered for compliance, finance, and benchmarking research; you are responsible for use that complies with applicable laws. # Actor input Schema ## `fiscalYear` (type: `integer`): U.S. federal fiscal year (Oct 1 of prior year through Sep 30). Example: 2024 = FY24 (Oct 1 2023 – Sep 30 2024). Defaults to a known-published year so empty input always returns data. ## `stateFilter` (type: `string`): Filter results by USPS state code (e.g. 'CA', 'NY', 'TX'). Leave blank to return all states. ## `cityFilter` (type: `string`): Filter results by city name (case-insensitive partial match). Example: 'San Francisco', 'New York'. ## `minLodgingRate` (type: `integer`): Only include rows whose maximum monthly lodging rate is at least this amount. 0 disables the filter. ## `apiKey` (type: `string`): Optional GSA / api.data.gov key. If omitted, DEMO\_KEY is used (rate-limited to ~30 requests/hour). Sign up free at https://api.data.gov/signup/. ## `maxResults` (type: `integer`): Maximum number of per diem records to return. Set to 0 for unlimited. ## Actor input object example ```json { "fiscalYear": 2024, "stateFilter": "", "cityFilter": "", "minLodgingRate": 0, "apiKey": "", "maxResults": 0 } ``` # 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("compute-edge/gsa-per-diem-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("compute-edge/gsa-per-diem-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 compute-edge/gsa-per-diem-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/gsa-per-diem-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GSA Per Diem Rates Scraper — Federal Travel Lodging & Meals", "description": "Extract official U.S. General Services Administration (GSA) per diem CONUS lodging and meals rates by city, county, state, and month for federal travel reimbursement.", "version": "0.1", "x-build-id": "7uaelz2dwwlnTOrNI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~gsa-per-diem-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-gsa-per-diem-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~gsa-per-diem-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-gsa-per-diem-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~gsa-per-diem-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-gsa-per-diem-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "fiscalYear": { "title": "Fiscal Year", "minimum": 2020, "maximum": 2030, "type": "integer", "description": "U.S. federal fiscal year (Oct 1 of prior year through Sep 30). Example: 2024 = FY24 (Oct 1 2023 – Sep 30 2024). Defaults to a known-published year so empty input always returns data.", "default": 2024 }, "stateFilter": { "title": "State Filter", "type": "string", "description": "Filter results by USPS state code (e.g. 'CA', 'NY', 'TX'). Leave blank to return all states.", "default": "" }, "cityFilter": { "title": "City Filter", "type": "string", "description": "Filter results by city name (case-insensitive partial match). Example: 'San Francisco', 'New York'.", "default": "" }, "minLodgingRate": { "title": "Minimum Lodging Rate (USD)", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Only include rows whose maximum monthly lodging rate is at least this amount. 0 disables the filter.", "default": 0 }, "apiKey": { "title": "GSA API Key (optional)", "type": "string", "description": "Optional GSA / api.data.gov key. If omitted, DEMO_KEY is used (rate-limited to ~30 requests/hour). Sign up free at https://api.data.gov/signup/.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 50000, "type": "integer", "description": "Maximum number of per diem records to return. Set to 0 for unlimited.", "default": 0 } } }, "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 } } } } } } } } } } ```