# Lawyers Google Maps Scraper (`mukeshrana90/lawyers-google-maps-scraper`) Actor Scrape lawyers and law firms from Google Maps with email, social, practice areas, fee structure, languages spoken, services list, review sentiment, online-booking / free-consultation detection, metro area classification, and firm-size classification. - **URL**: https://apify.com/mukeshrana90/lawyers-google-maps-scraper.md - **Developed by:** [Mukesh Kumar](https://apify.com/mukeshrana90) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Lawyers Google Maps Scraper Scrape **lawyers and law firms** from Google Maps with deep enrichment for legal-vertical lead generation — emails, social media, practice areas, fee structure, languages spoken, services list, review sentiment, online-booking detection, free-consultation availability, metro classification, and firm-size categorization. 35+ fields per record. Pay-per-event pricing — pay only for the enrichments you turn on. ### What you get For every lawyer / law firm matched on Google Maps: #### Base data (always included) - Name, Google Maps category, sub-category tags - Full parsed address (street, city, state, country, postal code) - Latitude / longitude, place ID, direct Maps URL - Phone, website - Rating, review count, hours, is-open-now #### Optional enrichments | Toggle | Adds | |---|---| | **Extract emails** | Best contact email from the firm's website. Scoring prefers `intake@`, `consult@`, `partner@`, `info@`, `contact@` — Sentry / Wix / no-reply / placeholder addresses are filtered out. | | **Extract social media links** | Instagram, Facebook, LinkedIn, X/Twitter — with widget-brand filtering (no Bolt, no copyright-year false positives, no `/p/` post URLs). | | **Lawyer enrichment** | `practiceAreas` (16 categories: PI, immigration, criminal, family, IP, etc.), `feeStructure` (contingency / hourly / flat / free consultation / sliding scale / pro bono), `languagesSpoken` (Spanish, Mandarin, Russian, Arabic, etc.), `servicesOffered` (extracted from the firm's services / practice-area page), `reviewSentiment` (keyword-based scoring with legal-tuned dictionary; themes include expertise, communication, professionalism, case outcomes, fees, empathy). | | **Niche classification** | `hasOnlineBooking` + platform (Calendly, Acuity, Clio Grow, Squarespace Scheduling, Setmore, HubSpot Meetings), `hasFreeConsultation` + URL, `isMetroArea` + `metroName` + `metroTier` (coordinate-based detection covering 30+ global metros), `firmSize` (solo / small / mid / large) with confidence + signals. | ### Use cases - **Bar association directories** — bulk-enrich law firm contact data - **Legal marketing agencies** — lead lists for outbound to specific practice areas - **Insurance carriers** — find PI lawyers in metro areas they cover - **Legal tech vendors** — segment by firm size and existing platform usage (Clio, MyCase, etc.) - **Translation / interpretation services** — find firms claiming specific languages - **CRM enrichment** — refresh contact + practice details on existing firm rosters ### Input ```json { "searchTerms": ["personal injury lawyer", "immigration attorney"], "locations": ["New York, USA"], "maxResults": 50, "minRating": 0, "enrichEmails": true, "enrichSocials": true, "enrichLawyer": true, "enrichLawyerNiche": true, "proxyConfig": { "useApifyProxy": true } } ```` | Field | Type | Default | Description | |---|---|---|---| | `searchTerms` | string\[] | `["personal injury lawyer"]` | Practice-area search queries | | `locations` | string\[] | `["New York, USA"]` | Cities, regions, countries | | `maxResults` | int | `50` | Total places across all searches (1–500) | | `minRating` | number | `0` | Filter places below this Google rating | | `enrichEmails` | bool | `false` | Visit firm website, extract best contact email | | `enrichSocials` | bool | `false` | Extract Instagram / Facebook / LinkedIn / X handles | | `enrichLawyer` | bool | `false` | Practice areas, fee structure, languages, services, sentiment | | `enrichLawyerNiche` | bool | `false` | Booking platform, free consultation, metro, firm size | | `proxyConfig` | object | `{ useApifyProxy: true }` | Residential recommended for high volume | ### Sample output ```json { "name": "Cellino Law LLP", "category": "Personal injury attorney", "practiceAreas": ["Personal Injury", "Medical Malpractice", "Workers Compensation"], "fullAddress": "420 Lexington Ave Suite 2840, New York, NY 10170, United States", "city": "New York", "state": "NY", "latitude": 40.7521, "longitude": -73.9756, "phone": "+12128887800", "website": "https://cellinolaw.com/", "email": "intake@cellinolaw.com", "instagram": "https://instagram.com/cellinolaw", "linkedin": "https://linkedin.com/company/cellino-law", "feeStructure": ["contingency", "free_consultation"], "languagesSpoken": ["Spanish", "Italian"], "servicesOffered": ["Car Accidents", "Slip & Fall", "Construction Accidents", "Wrongful Death"], "reviewSentiment": { "label": "Positive", "score": 91, "topThemes": ["expertise", "communication", "caseOutcome"], "reviewsAnalysed": 10, "avgRating": 4.8 }, "hasOnlineBooking": true, "bookingPlatform": "calendly.com", "bookingUrl": "https://calendly.com/cellino-law/consult", "hasFreeConsultation": true, "isMetroArea": true, "metroName": "New York Metro", "metroTier": 1, "firmSize": "large", "firmSizeLabel": "Large Law Firm", "rating": 4.9, "reviewCount": 3142 } ``` ### Pricing Pay-per-event: | Event | Triggers | Price | |---|---|---:| | `apify-actor-start` | Once per run | $0.00005 | | `apify-default-dataset-item` | Per result | $0.005 | | `email-enrichment` | Per result if `enrichEmails` true | $0.005 | | `social-enrichment` | Per result if `enrichSocials` true | $0.002 | | `lawyer-enrichment` | Per result if `enrichLawyer` true | $0.013 | | `niche-enrichment` | Per result if `enrichLawyerNiche` true | $0.005 | Indicative totals: **$5 / 1000** base, **$30 / 1000** with all four enrichments enabled. ### Notes & limitations - Sentiment analysis is keyword-based (no LLM cost). Themes are coarse but useful for segmentation. - Firm-size classification is heuristic (name keywords + review count). Confidence is reported per result. - Google Maps occasionally widens the search beyond the location keyword — expect some adjacent-area results. - The actor is anti-block-friendly (random delays, consent-dialog handling, single website visit per place) but residential proxies are recommended for high-volume runs. # Actor input Schema ## `searchTerms` (type: `array`): Lawyer / attorney categories to search for (e.g. personal injury lawyer, immigration attorney, divorce lawyer, criminal defense, real estate attorney) ## `locations` (type: `array`): Cities, regions, or countries to search in (e.g. New York, USA or London, UK) ## `maxResults` (type: `integer`): Maximum number of lawyers / firms to scrape in total across all search term + location combinations ## `minRating` (type: `number`): Only include lawyers / firms with this Google rating or above (0 = no filter) ## `enrichEmails` (type: `boolean`): Visit each firm's website and extract the best contact email (homepage + /contact fallback). Prefers intake@ / consult@ / contact@ over generic addresses. ## `enrichSocials` (type: `boolean`): Extract Instagram, Facebook, LinkedIn, and X/Twitter profile links from the firm's website ## `enrichLawyer` (type: `boolean`): Extract practice areas (immigration, PI, family, etc.), fee structure (contingency / hourly / flat / free consultation), languages spoken, services list, and review sentiment analysis ## `enrichLawyerNiche` (type: `boolean`): Detect online booking (Calendly, Acuity, Clio Grow), free-consultation availability, metro area, and firm size (solo / small / mid / large) ## `proxyConfig` (type: `object`): Residential proxies recommended for high-volume runs to avoid Google Maps blocks ## Actor input object example ```json { "searchTerms": [ "personal injury lawyer", "immigration attorney" ], "locations": [ "New York, USA" ], "maxResults": 20, "minRating": 0, "enrichEmails": false, "enrichSocials": false, "enrichLawyer": false, "enrichLawyerNiche": false, "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `defaultDataset` (type: `string`): Dataset containing scraped lawyers / law firms with 35+ fields including contact info, social media, practice areas, fee structure, languages spoken, services list, review sentiment, online booking detection, free consultation, metro classification, and firm size. # 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 = { "searchTerms": [ "personal injury lawyer", "immigration attorney" ], "locations": [ "New York, USA" ], "maxResults": 20, "minRating": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("mukeshrana90/lawyers-google-maps-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 = { "searchTerms": [ "personal injury lawyer", "immigration attorney", ], "locations": ["New York, USA"], "maxResults": 20, "minRating": 0, } # Run the Actor and wait for it to finish run = client.actor("mukeshrana90/lawyers-google-maps-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 '{ "searchTerms": [ "personal injury lawyer", "immigration attorney" ], "locations": [ "New York, USA" ], "maxResults": 20, "minRating": 0 }' | apify call mukeshrana90/lawyers-google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mukeshrana90/lawyers-google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lawyers Google Maps Scraper", "description": "Scrape lawyers and law firms from Google Maps with email, social, practice areas, fee structure, languages spoken, services list, review sentiment, online-booking / free-consultation detection, metro area classification, and firm-size classification.", "version": "1.0", "x-build-id": "DccQEO8yzg4O7NO3f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mukeshrana90~lawyers-google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mukeshrana90-lawyers-google-maps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mukeshrana90~lawyers-google-maps-scraper/runs": { "post": { "operationId": "runs-sync-mukeshrana90-lawyers-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mukeshrana90~lawyers-google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-mukeshrana90-lawyers-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Lawyer / attorney categories to search for (e.g. personal injury lawyer, immigration attorney, divorce lawyer, criminal defense, real estate attorney)", "default": [ "personal injury lawyer" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities, regions, or countries to search in (e.g. New York, USA or London, UK)", "default": [ "New York, USA" ], "items": { "type": "string" } }, "maxResults": { "title": "Max results per search", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of lawyers / firms to scrape in total across all search term + location combinations", "default": 50 }, "minRating": { "title": "Minimum rating filter", "minimum": 0, "maximum": 5, "type": "number", "description": "Only include lawyers / firms with this Google rating or above (0 = no filter)", "default": 0 }, "enrichEmails": { "title": "Extract emails", "type": "boolean", "description": "Visit each firm's website and extract the best contact email (homepage + /contact fallback). Prefers intake@ / consult@ / contact@ over generic addresses.", "default": false }, "enrichSocials": { "title": "Extract social media links", "type": "boolean", "description": "Extract Instagram, Facebook, LinkedIn, and X/Twitter profile links from the firm's website", "default": false }, "enrichLawyer": { "title": "Lawyer enrichment", "type": "boolean", "description": "Extract practice areas (immigration, PI, family, etc.), fee structure (contingency / hourly / flat / free consultation), languages spoken, services list, and review sentiment analysis", "default": false }, "enrichLawyerNiche": { "title": "Niche classification", "type": "boolean", "description": "Detect online booking (Calendly, Acuity, Clio Grow), free-consultation availability, metro area, and firm size (solo / small / mid / large)", "default": false }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies recommended for high-volume runs to avoid Google Maps blocks", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```