# SuperLawyers, FindLaw & LawInfo Attorney + Firm Email Scraper (`jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper`) Actor Scrape top-rated attorneys & law firms across SuperLawyers, FindLaw, LawInfo & Abogado. Extracts verified law firm emails, direct & firm phones, million-dollar verdicts/settlements, practice area % breakdowns, and 25+ LegalTech intake software tags (Clio, Filevine, Lawmatics, ApexChat, CallRail). - **URL**: https://apify.com/jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper.md - **Developed by:** [Joshua Cooper](https://apify.com/jcoop32) (community) - **Categories:** Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## SuperLawyers, FindLaw & LawInfo Attorney + Law Firm Email Scraper (LegalTech Enricher) Extract peer-reviewed trial attorneys and law firms across **SuperLawyers** (`superlawyers.com`), **FindLaw** (`lawyers.findlaw.com`), **LawInfo** (`lawinfo.com`), and **Abogado** (`abogado.com`)β€”and automatically crawl each attorney's **external Law Firm Website, Bio Page, and `/contact` Page** to extract **verified direct emails**, **million-dollar verdicts & settlements**, **practice area percentage breakdowns**, and **25+ LegalTech intake software signatures**. *** ### Why This Scraper Beats Basic Legal Directory Scrapers Basic directory scrapers only grab the name, phone number, and address printed on the directory card. Because SuperLawyers hides attorney emails behind a web contact form, basic scrapers return **zero emails** and **zero firm technology intelligence**. This Actor performs a **3-Layer Deep Legal Enrichment** per attorney: 1. **Layer 1: Full Schema.org `Attorney` + `LegalService` JSON-LD & Semantic Tabs** - Both **Direct Attorney Phone (`direct_phone`)** and **Main Law Firm Phone (`firm_phone`)** - **Practice Area Percentage Breakdown** (`70% Personal Injury - General: Plaintiff`, `30% Medical Malpractice: Plaintiff`) + granular focus areas (`Trucking Accidents`, `Wrongful Death`, `Brain Injury`) - **Reported Dollar Verdicts & Settlements (`notable_verdicts_and_settlements` + `highest_reported_verdict_usd`)** (e.g. `$3,600,000 Settlement`, `$250,000,000 Verdict`) - **Credentials & Tenure**: `year_licensed`, `years_experience`, `law_school`, `undergraduate_education`, `bar_admissions_and_activity`, `years_selected`, `selection_period` (`2006 - 2027`), and `awards` (`Super Lawyers`, `Rising Stars`, `Martindale-Hubbell Distinguished`) 2. **Layer 2: Cross-Directory Thomson Reuters Identity Graph** - Links the attorney's profile across **`superlawyers_url`**, **`findlaw_url`**, **`lawinfo_url`**, **`abogado_url`**, **`firm_website`**, and **`attorney_bio_url`**. 3. **Layer 3: Live Law Firm Website Crawl & 25+ LegalTech Stack Detection** - Automatically crawls the attorney's external `firm_website`, `attorney_bio_url`, and `/contact` subpages to extract: - **`primary_email` & `verified_emails`** (plus pattern-matched `likely_attorney_emails`) - **`social_profiles`** (`LinkedIn`, `Avvo`, `Justia`, `Facebook`, `Instagram`, `YouTube`, `X/Twitter`) - **`legal_tech_stack`**: Detects `Clio`, `Lawmatics`, `Filevine`, `MyCase`, `PracticePanther`, `Smokeball`, `ApexChat`, `Ngauge`, `Smith.ai`, `Ruby Receptionists`, `Intaker`, `CallRail`, `WhatConverts`, `Birdeye`, `Podium`, `Scorpion Legal Marketing`, `FindLaw CMS`, `Justia Elevate`, `HubSpot`, `Intercom`, `Google Ads Pixel`, `Meta Pixel`, `WordPress`, and `Webflow`. - **`b2b_lead_score` (0–100) & `b2b_pitch_signals`**: Flags law firms running paid ads without call tracking (`CallRail`) or lacking 24/7 AI legal intake chat (`ApexChat` / `Smith.ai` / `Intaker`). *** ### Sample Output Record ```json { "attorney_name": "Mark A. Brown", "job_title": "Attorney at Law", "firm_name": "Lane Brown, LLC", "primary_email": "markbrown@lanebrownlaw.com", "verified_emails": ["markbrown@lanebrownlaw.com"], "likely_attorney_emails": ["mbrown@lanebrownlaw.com", "mark.brown@lanebrownlaw.com"], "direct_phone": "312-815-5222", "firm_phone": "+1-3123321400", "street_address": "230 W. Monroe Street Suite 2600", "city": "Chicago", "state": "IL", "zip_code": "60606", "practice_areas": ["Personal Injury - General", "Personal Injury - Medical Malpractice"], "practice_area_breakdown": [ "70% Personal Injury - General: Plaintiff", "30% Personal Injury - Medical Malpractice: Plaintiff" ], "awards": ["Selected to Super Lawyers"], "years_selected": 18, "selection_period": "2010 - 2027", "year_licensed": 1994, "years_experience": 32, "law_school": "Chicago-Kent College of Law, Illinois Institute of Technology", "notable_verdicts_and_settlements": [ "$3,600,000 Settlement - Medical Malpractice" ], "highest_reported_verdict_usd": 3600000.0, "legal_tech_stack": ["callrail", "google_tag_manager", "wordpress"], "social_profiles": { "linkedin": "https://www.linkedin.com/company/lane-brown-llc", "facebook": "https://www.facebook.com/LaneLaneLlc", "twitter_x": "https://twitter.com/LaneBrownLLC" }, "firm_website": "https://www.lanebrownlaw.com", "superlawyers_url": "https://profiles.superlawyers.com/illinois/chicago/lawyer/mark-a-brown/...", "findlaw_url": "https://lawyers.findlaw.com/...", "lawinfo_url": "https://www.lawinfo.com/lawfirm/...", "b2b_lead_score": 100, "b2b_pitch_signals": [ "Verified Direct Law Firm Email Extracted", "No 24/7 Legal Live Chat / AI Intake Widget Detected (High-Intent Pitch for AI Intake / Answering Service)", "No Public Cloud Practice CRM Portal Detected (Pitch Clio / Filevine / Lawmatics)", "High-Value Trial Litigator ($3,600,000 Reported Verdict/Settlement)", "Established Senior Partner (18 Years Selected to Super Lawyers)" ], "recommended_buyers": [ "AI Legal Intake & Virtual Receptionist Providers", "B2B LegalTech SaaS", "Legal Marketing & SEO Agencies", "Litigation Funding Firms", "Medical Lien & Expert Witness Networks", "Structured Settlement Brokers" ] } ``` # Actor input Schema ## `practice_area` (type: `string`): Select a high-value legal practice area to scrape. ## `state` (type: `string`): Target state name or 2-letter code (e.g., 'illinois', 'new-york', 'california', 'texas', 'florida'). ## `city` (type: `string`): Target city (e.g., 'chicago', 'new-york', 'los-angeles', 'houston', 'miami'). Leave blank for statewide search. ## `custom_search_url` (type: `string`): Optional direct SuperLawyers SERP URL or single attorney profile URL. Overrides practice_area/state/city if set. ## `enrich_firm_websites` (type: `boolean`): When enabled, automatically visits each attorney's law firm website, bio page, and /contact page to extract verified emails, LinkedIn/Avvo/Justia profiles, and 25+ LegalTech intake software tags (Clio, Lawmatics, Filevine, ApexChat, CallRail). ## `max_items` (type: `integer`): Maximum number of enriched attorney leads to extract (1-50). ## Actor input object example ```json { "practice_area": "personal_injury", "state": "illinois", "city": "chicago", "custom_search_url": "", "enrich_firm_websites": true, "max_items": 10 } ``` # Actor output Schema ## `overview` (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 = { "state": "illinois", "city": "chicago" }; // Run the Actor and wait for it to finish const run = await client.actor("jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "state": "illinois", "city": "chicago", } # Run the Actor and wait for it to finish run = client.actor("jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "state": "illinois", "city": "chicago" }' | apify call jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,jcoop32/superlawyers-findlaw-lawinfo-attorney-email-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/MgFDkM6WxNy5w86E9/builds/m9ssUHlt48lKBhYyp/openapi.json