# FDA Law Firm Scraper (`comfy_glove/fda-law-firm-scraper`) Actor Scrapes boutique FDA regulatory and enforcement law firms from Best Lawyers, Legal 500, Chambers, and Martindale. - **URL**: https://apify.com/comfy\_glove/fda-law-firm-scraper.md - **Developed by:** [Zsombor Szekeres](https://apify.com/comfy_glove) (community) - **Categories:** Lead generation, AI, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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 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 ## FDA Law Firm Scraper Scrapes boutique FDA regulatory and enforcement law firm attorney leads from four directories: Best Lawyers, Legal 500, Chambers USA, and Martindale-Hubbell. Built to generate supply-side leads that match companies who have received FDA warning letters. ### Output Fields | Field | Description | |---|---| | attorney_name | Full name of the attorney | | firm_name | Name of the law firm | | firm_type | `boutique`, `biglaw`, or `unknown` | | location | City and state | | practice_area | FDA regulatory or enforcement focus | | ranking | Tier or band from the source directory | | recognized_since | Year first recognized (Best Lawyers) | | bio | Attorney biography or practice description | | website | Profile URL | | source | Which directory the lead came from | ### Input Options | Field | Default | Description | |---|---|---| | maxLeads | 500 | Maximum total leads to collect | | maxFirmSize | 50 | Exclude firms with more attorneys (Tier 3 filter) | | sources | all | Which sources to scrape | | includeAllFirmSizes | false | Disable boutique filtering entirely | ### Boutique Filtering Two-tier approach: **Tier 1 — BigLaw exclusion list:** Known large firms (Arnold & Porter, Covington & Burling, Hogan Lovells, Sidley Austin, etc.) are excluded and tagged as `biglaw` regardless of firm size setting. **Tier 3 — Firm size threshold:** Set `maxFirmSize` to exclude firms above a certain attorney headcount. Default is 50. Set to 0 to disable. ### Data Sources - **Best Lawyers** — bestlawyers.com, FDA Law practice area, 134 attorneys - **Legal 500** — legal500.com, Life Sciences section, 52 attorneys - **Chambers USA** — chambers.com, Life Sciences Regulatory & Compliance, 21 attorneys - **Martindale-Hubbell** — martindale.com, Food & Drug Law search # Actor input Schema ## `maxLeads` (type: `integer`): Maximum total number of leads to collect across all sources. ## `maxFirmSize` (type: `integer`): Exclude firms with more attorneys than this threshold. Used alongside the known BigLaw exclusion list. Set to 0 to disable this filter. ## `sources` (type: `array`): Which directories to scrape. Leave empty to scrape all. ## `includeAllFirmSizes` (type: `boolean`): If true, disables both the BigLaw exclusion list and the maxFirmSize filter. All firms will be included regardless of size. ## Actor input object example ```json { "maxLeads": 500, "maxFirmSize": 50, "sources": [ "best_lawyers", "legal500", "chambers", "justia", "martindale" ], "includeAllFirmSizes": false } ```` # Actor output Schema ## `firm_name` (type: `string`): Name of the law firm. ## `contact_attorney` (type: `string`): Most senior attorney at the firm from this directory. ## `firm_type` (type: `string`): boutique or biglaw based on filtering logic. ## `practice_area` (type: `string`): FDA regulatory or enforcement practice focus. ## `source` (type: `string`): Which directory this lead was scraped from. # 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("comfy_glove/fda-law-firm-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("comfy_glove/fda-law-firm-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 comfy_glove/fda-law-firm-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=comfy_glove/fda-law-firm-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Law Firm Scraper", "description": "Scrapes boutique FDA regulatory and enforcement law firms from Best Lawyers, Legal 500, Chambers, and Martindale.", "version": "1.0", "x-build-id": "5StDf5m3WfBYTcggT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/comfy_glove~fda-law-firm-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-comfy_glove-fda-law-firm-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/comfy_glove~fda-law-firm-scraper/runs": { "post": { "operationId": "runs-sync-comfy_glove-fda-law-firm-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/comfy_glove~fda-law-firm-scraper/run-sync": { "post": { "operationId": "run-sync-comfy_glove-fda-law-firm-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": [ "maxLeads" ], "properties": { "maxLeads": { "title": "Max Leads", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum total number of leads to collect across all sources.", "default": 500 }, "maxFirmSize": { "title": "Max Firm Size (attorneys)", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Exclude firms with more attorneys than this threshold. Used alongside the known BigLaw exclusion list. Set to 0 to disable this filter.", "default": 50 }, "sources": { "title": "Sources to Scrape", "type": "array", "description": "Which directories to scrape. Leave empty to scrape all.", "default": [ "best_lawyers", "legal500", "chambers", "justia", "martindale" ], "items": { "type": "string" } }, "includeAllFirmSizes": { "title": "Include All Firm Sizes (disable boutique filter)", "type": "boolean", "description": "If true, disables both the BigLaw exclusion list and the maxFirmSize filter. All firms will be included regardless of size.", "default": 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 } } } } } } } } } } ```