# Law Firm Website Contact Scraper (`jungle_synthesizer/law-firm-website-contact-scraper`) Actor Extract attorney profiles, contact details, practice areas, and bios directly from law firm websites. Provide a list of law firm URLs and get structured attorney data including name, title, email, phone, education, bar admissions, and headshot. - **URL**: https://apify.com/jungle\_synthesizer/law-firm-website-contact-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Law Firm Website Contact Scraper Extract attorney profiles, contact info, practice areas, education, and bios directly from law firm websites. Provide a list of law firm website URLs and get structured attorney data ready for CRM import, lead generation, or legal directory enrichment. ### What It Does This actor crawls law firm websites and extracts detailed attorney profiles from each attorney's bio page. It works with virtually any law firm website architecture — WordPress, custom CMS, React/Next.js server-rendered sites — and uses a multi-layer extraction approach: 1. **JSON-LD / schema.org/Person** — detects and parses structured attorney data when available (name, jobTitle, email, telephone, image, LinkedIn) 2. **Heuristic CSS selectors** — covers common WordPress attorney theme patterns and major law firm CMS templates 3. **Pattern matching fallbacks** — extracts mailto links, tel: links, and office location from visible page content ### Use Cases - **Lead generation** — build prospect lists of attorneys at target firms - **Directory enrichment** — supplement FindLaw, Martindale, or Avvo data with direct-from-source bios and contact details - **Recruitment** — identify attorneys by practice area and location for headhunting - **Market research** — map firm headcount, practice area mix, and office locations - **CRM import** — import attorney records with email, phone, title, and LinkedIn directly ### Input | Field | Description | |-------|-------------| | `urls` | **Required.** List of law firm website URLs. Can be the homepage (actor navigates to the attorneys/team page) or the attorneys listing page directly (e.g. `https://www.example.com/lawyers/`). | | `maxItems` | Maximum number of attorney records to return across all input URLs. Default: 10. Set to 0 for no limit. | #### Example Input ```json { "urls": [ "https://www.gibsondunn.com/lawyers/", "https://www.lw.com/en/people" ], "maxItems": 100 } ```` ### Output Each record represents one attorney: | Field | Description | |-------|-------------| | `attorney_name` | Full name | | `title` | Professional title (Partner, Associate, Of Counsel, etc.) | | `email` | Email address | | `phone` | Primary phone number | | `direct_phone` | Direct line (if separate from main) | | `practice_areas` | Practice areas, pipe-separated | | `education` | Educational background, pipe-separated | | `bar_admissions` | Bar admissions, pipe-separated | | `bio` | Biography text (up to 2,000 characters) | | `firm_name` | Law firm name | | `office_location` | Office city/location | | `attorney_page_url` | URL of the attorney bio page | | `headshot_url` | URL of the attorney headshot image | | `linkedin_url` | LinkedIn profile URL | #### Example Output ```json { "attorney_name": "Jane Smith", "title": "Partner", "email": "jsmith@examplelaw.com", "phone": "+1 212.555.1234", "direct_phone": null, "practice_areas": "Mergers & Acquisitions | Private Equity | Capital Markets", "education": "Harvard Law School, J.D. | Yale University, B.A.", "bar_admissions": "New York | California", "bio": "Jane Smith is a partner in the firm's M&A practice...", "firm_name": "Example Law Firm", "office_location": "New York", "attorney_page_url": "https://www.examplelaw.com/people/jane-smith/", "headshot_url": "https://www.examplelaw.com/wp-content/uploads/jane-smith.jpg", "linkedin_url": "https://www.linkedin.com/in/janesmith/" } ``` ### How It Works The actor uses a two-level hierarchical crawl: 1. **Home/Listing detection** — if the input URL is a homepage, the actor navigates to the attorneys listing page via site navigation links. If the URL is already a listing page (contains `/people/`, `/lawyers/`, `/attorneys/`, etc.), it skips directly to discovery. 2. **Attorney discovery** — scans the listing page for links to individual bio pages and handles pagination for large firms. 3. **Bio page extraction** — visits each bio page and extracts the full attorney profile using the extraction cascade described above. ### Site Compatibility Tested with major law firm website architectures: - **WordPress** attorney themes (most common) - **Custom CMS** (large firms with bespoke systems) - **Server-rendered React/Next.js** (works without browser rendering) Sites requiring JavaScript-only rendering may return incomplete data for some fields. ### Notes - Data quality depends on how well the target site uses schema.org/Person markup. Sites with JSON-LD yield the richest data. - The `bio` field is truncated at 2,000 characters. - Array fields (practice areas, education, bar admissions) are returned as pipe-separated strings for easy spreadsheet import. - Email and phone extraction relies on `mailto:` and `tel:` HTML links — firms displaying contact info as plain text or images may not have these populated. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `urls` (type: `array`): List of law firm website URLs to scrape (homepage or attorneys/team page) ## `maxItems` (type: `integer`): Maximum number of attorney records to return across all input URLs. Set to 0 for no limit. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "urls": [ "https://www.gibsondunn.com/lawyers/" ], "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "urls": [ "https://www.gibsondunn.com/lawyers/" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/law-firm-website-contact-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "urls": ["https://www.gibsondunn.com/lawyers/"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/law-firm-website-contact-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "urls": [ "https://www.gibsondunn.com/lawyers/" ], "maxItems": 10 }' | apify call jungle_synthesizer/law-firm-website-contact-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/law-firm-website-contact-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Law Firm Website Contact Scraper", "description": "Extract attorney profiles, contact details, practice areas, and bios directly from law firm websites. Provide a list of law firm URLs and get structured attorney data including name, title, email, phone, education, bar admissions, and headshot.", "version": "0.1", "x-build-id": "wY5GF94ZDzV1rPnt9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~law-firm-website-contact-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-law-firm-website-contact-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/jungle_synthesizer~law-firm-website-contact-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-law-firm-website-contact-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/jungle_synthesizer~law-firm-website-contact-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-law-firm-website-contact-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": [ "urls" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "urls": { "title": "Law Firm Website URLs", "type": "array", "description": "List of law firm website URLs to scrape (homepage or attorneys/team page)", "items": { "type": "string" } }, "maxItems": { "title": "Max Attorneys", "type": "integer", "description": "Maximum number of attorney records to return across all input URLs. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```