# NLRB Recent Charges and Petitions Filings Actor (`tehsnarf/nlrb-recent-charges-petitions-filings`) Actor Scrapes the NLRB recent filings feed and optional case detail pages into structured records. - **URL**: https://apify.com/tehsnarf/nlrb-recent-charges-petitions-filings.md - **Developed by:** [Chris Hoover](https://apify.com/tehsnarf) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## NLRB Recent Charges and Petitions Filings Actor Scrapes the NLRB recent filings feed and optional case detail pages into structured records. ### What it does - Collects recent NLRB charges and petitions from the public filings listing. - Follows pagination on the listing pages. - Optionally enriches each filing from its case detail page when available. ### Use cases 1. Track fresh labor-relations filings for law firms, HR teams, and compliance groups. 2. Monitor employer, region, and case-status changes over time. 3. Export public labor-case metadata into CSV-ready JSON for downstream analysis. ### Input - `startUrls`: recent-filings pages or individual case pages - `maxItems`: maximum number of records to emit - `maxPages`: maximum listing pages to follow per start URL - `fetchCaseDetails`: enrich list rows from individual case pages - `delaySeconds`: pause between listing page requests - `detailDelaySeconds`: pause between detail fetches ### Output fields | Field | Description | |---|---| | `case_name` | Employer or case title shown in the listing or case page | | `case_number` | NLRB case number | | `date_filed` | Filing date in `MM/DD/YYYY` format | | `status` | Open or closed status | | `employee_count` | Number of employees shown on the listing page | | `location` | City and state listed for the filing | | `assigned_region` | Region office assigned to the case | | `case_type` | Inferred case type from the case number or page text | | `closed_date` | Date closed, when available | | `close_reason` | Reason closed, when available | | `certified_representative` | Certified representative, when available | | `source_url` | Exact URL scraped | ### Example output ```json { "case_name": "Honeywell", "case_number": "14-CA-389893", "date_filed": "07/02/2026", "status": "Open", "employee_count": "82", "location": "Saint Louis, MO", "assigned_region": "Region 14, Saint Louis, Missouri", "case_type": "Charge", "closed_date": null, "close_reason": null, "certified_representative": null, "source_url": "https://www.nlrb.gov/case/14-CA-389893" } ```` ### Pricing $5.00 per 1,000 results ($0.005 per result) Set a max cost limit when starting a run to control your spending. The Actor stops automatically when your limit is reached. ### Example costs 100 results = $0.50 500 results = $2.50 1,000 results = $5.00 5,000 results = $25.00 ### Notes - Public .gov source, no authentication required. - Uses static HTML parsing and standard pagination. - Detail-page enrichment is optional but enabled by default. # Actor input Schema ## `startUrls` (type: `array`): NLRB recent-filings pages or individual case pages to scrape. ## `maxItems` (type: `integer`): Maximum number of records to emit. ## `maxPages` (type: `integer`): Maximum number of listing pages to follow from each start URL. ## `fetchCaseDetails` (type: `boolean`): Visit individual case pages to enrich each record with closed-date and representative fields when available. ## `delaySeconds` (type: `number`): Polite pause between page requests. ## `detailDelaySeconds` (type: `number`): Pause between list pages and detail-page fetches. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.nlrb.gov/reports/graphs-data/recent-filings" } ], "maxItems": 100, "maxPages": 25, "fetchCaseDetails": true, "delaySeconds": 1, "detailDelaySeconds": 0.75 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.nlrb.gov/reports/graphs-data/recent-filings" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("tehsnarf/nlrb-recent-charges-petitions-filings").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "startUrls": [{ "url": "https://www.nlrb.gov/reports/graphs-data/recent-filings" }] } # Run the Actor and wait for it to finish run = client.actor("tehsnarf/nlrb-recent-charges-petitions-filings").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 '{ "startUrls": [ { "url": "https://www.nlrb.gov/reports/graphs-data/recent-filings" } ] }' | apify call tehsnarf/nlrb-recent-charges-petitions-filings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tehsnarf/nlrb-recent-charges-petitions-filings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NLRB Recent Charges and Petitions Filings Actor", "description": "Scrapes the NLRB recent filings feed and optional case detail pages into structured records.", "version": "0.0", "x-build-id": "FxbgNNogKQciIPdfA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tehsnarf~nlrb-recent-charges-petitions-filings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tehsnarf-nlrb-recent-charges-petitions-filings", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tehsnarf~nlrb-recent-charges-petitions-filings/runs": { "post": { "operationId": "runs-sync-tehsnarf-nlrb-recent-charges-petitions-filings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tehsnarf~nlrb-recent-charges-petitions-filings/run-sync": { "post": { "operationId": "run-sync-tehsnarf-nlrb-recent-charges-petitions-filings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "NLRB recent-filings pages or individual case pages to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of records to emit.", "default": 100 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of listing pages to follow from each start URL.", "default": 25 }, "fetchCaseDetails": { "title": "Fetch case details", "type": "boolean", "description": "Visit individual case pages to enrich each record with closed-date and representative fields when available.", "default": true }, "delaySeconds": { "title": "Delay between requests", "minimum": 0, "maximum": 10, "type": "number", "description": "Polite pause between page requests.", "default": 1 }, "detailDelaySeconds": { "title": "Delay between detail requests", "minimum": 0, "maximum": 10, "type": "number", "description": "Pause between list pages and detail-page fetches.", "default": 0.75 } } }, "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 } } } } } } } } } } ```