# BLS Wage Data Scraper (`parseforge/bls-wage-data-scraper`) Actor Collect economic data from the Bureau of Labor Statistics. Get CPI, unemployment rates, employment levels, hourly earnings, and PPI data. Select from pre-built series or enter custom IDs. Filter by year range and download structured time series data. - **URL**: https://apify.com/parseforge/bls-wage-data-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ“ˆ BLS Wage Data Scraper > ๐Ÿš€ **Collect U.S. economic data from the Bureau of Labor Statistics.** Get CPI, unemployment rates, employment levels, hourly earnings, and PPI data. Select from 8 pre-built series or enter custom IDs. No coding required. > ๐Ÿ•’ **Last updated:** 2026-04-16 ยท **๐Ÿ“Š 8 pre-built series** ยท **๐Ÿ“… Up to 20 years** of data ยท **๐Ÿ”ง Custom series IDs** ยท **โšก Under 5 seconds** per run
Pull structured records from BLS Wage Data โ€” clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parseforge/bls-wage-data-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/bls-wage-data-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: maxItems (integer, default 10), seriesId (string, default "CUUR0000SA0"), customSeriesId (string), startYear (string, default "2022"), endYear (string, default "2024"), registrationKey (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~bls-wage-data-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` The **BLS Wage Data Scraper** collects U.S. economic time series data including Consumer Price Index (CPI), unemployment rates, employment levels, average hourly earnings, and Producer Price Index. Select from 8 pre-built data series or enter any custom BLS series ID. Filter by year range and get monthly data points. Whether you are an economist tracking inflation, a business analyst monitoring labor costs, or a researcher studying employment trends, this tool delivers official government statistics in structured format ready for analysis. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Economists, financial analysts, HR departments, journalists, researchers, business strategists | Inflation tracking, salary benchmarking, employment monitoring, economic forecasting, labor market analysis | --- ### ๐Ÿ“‹ What the BLS Wage Data Scraper does - ๐Ÿ“Š **Pre-built data series.** Choose from CPI, Core CPI, unemployment rate, nonfarm employment, hourly earnings, PPI, labor force, and employment level. - ๐Ÿ”ง **Custom series support.** Enter any valid BLS series ID to fetch specialized data. - ๐Ÿ“… **Year range filtering.** Specify start and end years for your data (up to 10 years without a key, 20 with one). - ๐Ÿ“‹ **Monthly data points.** Get individual values for each month in your selected range. - ๐Ÿ“ **Footnotes included.** Capture BLS footnotes and annotations for each data point. - ๐Ÿ”‘ **Optional API key.** Use your free BLS registration key for extended date ranges and higher rate limits. Each record includes the series ID, series name, year, period, value, and footnotes. > ๐Ÿ’ก **Why it matters:** navigating the BLS website to download economic data involves complex menus, limited export options, and manual file management. This Actor delivers structured BLS data in seconds with a simple configuration. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon: a 3-minute walkthrough._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
maxItemsinteger10Max data points. Free: 10, Paid: up to 1,000,000.
seriesIdstring"CUUR0000SA0"Pre-built BLS series or "custom" for custom ID.
customSeriesIdstring""Custom BLS series ID (only when seriesId is "custom").
startYearstring"2022"Start year (4-digit).
endYearstring"2024"End year (4-digit).
registrationKeystring""Optional free BLS API key for extended ranges.
**Example: CPI data for 2022-2024.** ```json { "seriesId": "CUUR0000SA0", "startYear": "2022", "endYear": "2024", "maxItems": 50 } ```` **Example: unemployment rate for 2020-2024.** ```json { "seriesId": "LNS14000000", "startYear": "2020", "endYear": "2024", "maxItems": 100 } ``` > โš ๏ธ **Good to Know:** Free users are limited to 10 data points per run. Without a BLS registration key, the maximum date range is 10 years. Register for a free key at data.bls.gov for up to 20 years. *** ### ๐Ÿ“Š Output #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ†” seriesId | string | `"CUUR0000SA0"` | | ๐Ÿ“‹ seriesName | string | `"Consumer Price Index - All Urban Consumers"` | | ๐Ÿ“… year | string | `"2024"` | | ๐Ÿ“… period | string | `"M12"` | | ๐Ÿ“… periodName | string | `"December"` | | ๐Ÿ“Š value | string | `"315.605"` | | ๐Ÿ“ footnotes | string | BLS footnotes | | ๐Ÿ•’ scrapedAt | ISO 8601 | `"2026-04-08T16:52:14.908Z"` | #### ๐Ÿ“ฆ Sample records
๐Ÿ“Š CPI data point ```json { "seriesId": "CUUR0000SA0", "seriesName": "Consumer Price Index - All Urban Consumers, All Items", "year": "2024", "period": "M12", "periodName": "December", "value": "315.605", "footnotes": "", "scrapedAt": "2026-04-08T16:52:14.908Z" } ```
๐Ÿ“‰ Unemployment rate data point ```json { "seriesId": "LNS14000000", "seriesName": "Unemployment Rate (Seasonally Adjusted)", "year": "2024", "period": "M06", "periodName": "June", "value": "4.1", "footnotes": "", "scrapedAt": "2026-04-08T16:53:00.000Z" } ```
๐Ÿ’ฐ Average hourly earnings data point ```json { "seriesId": "CES0500000003", "seriesName": "Average Hourly Earnings - Total Private", "year": "2024", "period": "M09", "periodName": "September", "value": "35.36", "footnotes": "", "scrapedAt": "2026-04-08T16:54:00.000Z" } ```
*** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐Ÿ“Š | **8 pre-built series.** CPI, unemployment, wages, PPI, employment, and labor force. | | ๐Ÿ”ง | **Custom series.** Enter any BLS series ID for specialized data. | | ๐Ÿ“… | **Year range control.** Up to 10 years (or 20 with free API key). | | โšก | **Fast.** Under 5 seconds per request. | | ๐Ÿ“‹ | **Monthly granularity.** Individual data points for each month. | | ๐Ÿ“ | **Footnotes.** BLS annotations preserved for context. | | ๐Ÿ“Š | **Structured output.** JSON, CSV, and Excel export. | > ๐Ÿ“Š **8 pre-built series** covering CPI, unemployment, wages, PPI, labor force, and employment levels. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Speed | Series support | Year range | Setup | |---|---|---|---|---|---| | **โญ BLS Wage Data Scraper** *(this Actor)* | $5 free credit | Under 5 sec | 8 pre-built + custom | Up to 20 years | โšก 2 min | | BLS website manual download | Free | Slow | All series | Varies by tool | ๐Ÿ•’ 10+ min | | BLS API direct access | Free | Fast | All series | 10-20 years | ๐Ÿ•’ 30+ min | | Paid data vendors | High | Fast | Varies | Varies | ๐Ÿ•’ Varies | *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the BLS Wage Data Scraper page on Apify. 3. ๐ŸŽฏ **Set input.** Select a data series and set the year range. 4. ๐Ÿš€ **Run it.** Click **Start** and get results in seconds. 5. ๐Ÿ“ฅ **Download.** Grab results in JSON, CSV, or Excel from the **Dataset** tab. > โฑ๏ธ Total time: **2 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿ“ˆ Economic Analysis - Track CPI and inflation trends - Monitor unemployment rate changes - Analyze wage growth patterns - Build economic forecasting models #### ๐Ÿ’ผ Business & HR - Benchmark hourly earnings by industry - Support compensation planning with PPI data - Generate economic reports for stakeholders - Pull official statistics for journalism
*** *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20BLS%20Wage%20Data%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20BLS%20Wage%20Data%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20BLS%20Wage%20Data%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20BLS%20Wage%20Data%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make. ***
### ๐Ÿ”Œ Automating BLS Wage Data Scraper - ๐ŸŸข **Node.js.** Install the apify-client NPM package. - ๐Ÿ **Python.** Use the apify-client PyPI package. - ๐Ÿ“š See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. ### ๐Ÿ”Œ Integrate with any app - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate economic data collection - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get CPI or unemployment updates - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger from commits - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export to Sheets *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ›๏ธ Grants.gov Scraper**](https://apify.com/parseforge/grants-gov-scraper) - Federal grant opportunities - [**๐Ÿ’ฐ USASpending Scraper**](https://apify.com/parseforge/usaspending-scraper) - Federal spending data - [**๐Ÿ“œ Federal Register Scraper**](https://apify.com/parseforge/federal-register-regulatory-notices-rules-scraper) - Regulatory notices - [**๐Ÿ’ผ FINRA BrokerCheck Scraper**](https://apify.com/parseforge/finra-brokercheck-scraper) - Broker registration data - [**๐Ÿ›๏ธ GSA eLibrary Scraper**](https://apify.com/parseforge/gsa-elibrary-scraper) - Government contracts > ๐Ÿ’ก Browse the complete [ParseForge collection](https://apify.com/parseforge). *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper or report an issue. *** > **โš ๏ธ Disclaimer:** Independent tool, not affiliated with the U.S. Bureau of Labor Statistics or the U.S. Department of Labor. Data is accessed through the official BLS public API. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `seriesId` (type: `string`): Select a BLS data series to fetch ## `customSeriesId` (type: `string`): Enter a custom BLS series ID (only used when Data Series is set to Custom). Find series IDs at https://www.bls.gov/data/ ## `startYear` (type: `string`): Start year for data retrieval (4-digit year) ## `endYear` (type: `string`): End year for data retrieval (4-digit year) ## `registrationKey` (type: `string`): Optional BLS API registration key for higher rate limits and extended date ranges (up to 20 years). Register free at https://data.bls.gov/registrationEngine/ ## Actor input object example ```json { "maxItems": 10, "seriesId": "CUUR0000SA0", "startYear": "2022", "endYear": "2024" } ``` # Actor output Schema ## `data` (type: `string`): Complete dataset with all BLS time series data points ## `overview` (type: `string`): Overview of data points with key fields # 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 = { "maxItems": 10, "seriesId": "CUUR0000SA0", "startYear": "2022", "endYear": "2024" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/bls-wage-data-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10, "seriesId": "CUUR0000SA0", "startYear": "2022", "endYear": "2024", } # Run the Actor and wait for it to finish run = client.actor("parseforge/bls-wage-data-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10, "seriesId": "CUUR0000SA0", "startYear": "2022", "endYear": "2024" }' | apify call parseforge/bls-wage-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/bls-wage-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BLS Wage Data Scraper", "description": "Collect economic data from the Bureau of Labor Statistics. Get CPI, unemployment rates, employment levels, hourly earnings, and PPI data. Select from pre-built series or enter custom IDs. Filter by year range and download structured time series data.", "version": "0.0", "x-build-id": "r9WsDNGXccpWVHctc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~bls-wage-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-bls-wage-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~bls-wage-data-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-bls-wage-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~bls-wage-data-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-bls-wage-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "seriesId": { "title": "Data Series", "enum": [ "CUUR0000SA0", "CUSR0000SA0L1E", "LNS14000000", "CES0000000001", "CES0500000003", "WPUFD4", "LNS11000000", "LNS12000000", "all", "custom" ], "type": "string", "description": "Select a BLS data series to fetch" }, "customSeriesId": { "title": "Custom Series ID", "type": "string", "description": "Enter a custom BLS series ID (only used when Data Series is set to Custom). Find series IDs at https://www.bls.gov/data/" }, "startYear": { "title": "Start Year", "type": "string", "description": "Start year for data retrieval (4-digit year)" }, "endYear": { "title": "End Year", "type": "string", "description": "End year for data retrieval (4-digit year)" }, "registrationKey": { "title": "BLS Registration Key (Optional)", "type": "string", "description": "Optional BLS API registration key for higher rate limits and extended date ranges (up to 20 years). 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