# Avvo Scraper - Low-costπŸ’²πŸ”₯βš–οΈπŸ‡ΊπŸ‡Έ (`delectable_incubator/avvo-scraper---low-cost`) Actor Scrape lawyer profiles from Avvo.com βš–οΈπŸ‡ΊπŸ‡Έ with a powerful legal directory scraper. Extract attorney names, specialties, locations, ratings, reviews, contact details, and profile URLs. Ideal for lead generation, legal market research, CRM enrichment, and AI/NLP datasets πŸ“ŠπŸš€ No coding required. - **URL**: https://apify.com/delectable\_incubator/avvo-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

Avvo Lawyers Scraper - PrimeScrape

--- ### Avvo Lawyers Scraper βš–οΈπŸ”ŽπŸ“Š The Avvo Lawyers Scraper is a fast, reliable, and scalable automation tool designed to extract structured lawyer profiles directly from Avvo.com. It transforms legal directory data into clean, structured datasets ready for lead generation, legal market analysis, CRM enrichment, and data-driven applications. --- ### Avvo Lawyers Scraper πŸ§ πŸ“ˆπŸ’Ό This scraper automatically extracts structured lawyer data from Avvo based on customizable parameters such as practice area and location. Ideal for legal platforms, law firms, recruiters, marketers, developers, and businesses analyzing legal professionals and industry trends. --- ### 🎯 What This Scraper Does Simply provide a practice area, location, and the number of profiles to extract, and the scraper will automatically collect structured lawyer data. βœ… Extracts lawyer profiles from Avvo directory βœ… Supports hundreds of legal practice areas βœ… Location-based search (states & major cities) βœ… Extracts ratings, reviews & Avvo scores βœ… Detects PRO lawyers βœ… Respects max items limit βœ… Collects contact and profile information βœ… Clean and analytics-ready datasets βœ… Ideal for CRM, research & automation --- ### πŸ“Š Data Extracted βš–οΈ Lawyer Fields | Field | Description | | ------------------- | --------------------- | | πŸ†” `professionalId` | Unique lawyer ID | | πŸ‘€ `lawyerName` | Lawyer full name | | ⭐ `rating` | Client rating | | πŸ’¬ `reviewCount` | Number of reviews | | πŸ“Š `avvoRating` | Avvo rating score | | 🧩 `practiceAreas` | Areas of practice | | πŸ“ `address` | Office location | | πŸ“ž `phoneNumber` | Contact phone | | 🌐 `website` | Website URL | | πŸ† `isPro` | PRO lawyer status | | πŸŽ–οΈ `awards` | Awards & recognitions | | πŸ“œ `licenseInfo` | License details | | πŸ“ `bio` | Lawyer biography | | πŸ”— `profileUrl` | Profile URL | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide your search parameters: ```` { "practice\_area": "debt-collection", "state": "tx", "max\_items": 80 } ``` 2️⃣ Run the Actor β€’ Open Avvo search results β€’ Apply filters (practice area & location) β€’ Automatically paginate results β€’ Extract lawyer profiles and metadata β€’ Structure and clean the dataset β€’ Stop when max_items limit is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "practice\_area": "personal-injury", "state": "ca", "max\_items": 100 } ``` #### Input Fields | Field | Type | Description | | --------------- | ------- | -------------------------- | | `practice_area` | string | Legal practice area | | `state` | string | US state or major city | | `max_items` | integer | Maximum lawyers to extract | --- ### πŸ“€ Output Example ``` { "professionalId": "AVVO-98231", "lawyerName": "John D. Smith", "rating": "4.8", "reviewCount": "126", "avvoRating": "10.0", "practiceAreas": \["Debt Collection", "Consumer Protection"], "address": "Dallas, TX", "phoneNumber": "(214) 555-0198", "isPro": true, "profileUrl": "https://www.avvo.com/attorneys/john-smith.html" } ```` --- ### πŸ“Š Output explanation | Field | Description | | ---------------- | ----------------- | | `professionalId` | Unique lawyer ID | | `lawyerName` | Lawyer name | | `rating` | Client rating | | `reviewCount` | Reviews count | | `avvoRating` | Avvo score | | `practiceAreas` | Legal specialties | | `address` | Location | | `phoneNumber` | Contact info | | `isPro` | PRO status | | `profileUrl` | Profile link | --- ### 🌍 Why Use This Scraper? βš–οΈ Legal Lead Generation β€” Find lawyers by niche & location πŸ“Š Market Analysis β€” Analyze ratings, reviews & trends 🏒 CRM Enrichment β€” Enhance legal databases πŸ€– AI & Data Science β€” Build structured datasets πŸ”„ Automation β€” Monitor new profiles & updates ⚑ Scalable β€” Built for large-scale extraction --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Avvo. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $3.49 / 1000 results --- ### Related Actors If you're interested in jobs scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `practice_area` (type: `string`): Select the practice area to search for ## `state` (type: `string`): Select state code or popular city ## `max_items` (type: `integer`): Limits how many lawyer profiles will be scraped ## Actor input object example ```json { "practice_area": "debt-collection", "state": "tx", "max_items": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "practice_area": "debt-collection", "state": "tx", "max_items": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/avvo-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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 = { "practice_area": "debt-collection", "state": "tx", "max_items": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/avvo-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 '{ "practice_area": "debt-collection", "state": "tx", "max_items": 50 }' | apify call delectable_incubator/avvo-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/avvo-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Avvo Scraper - Low-costπŸ’²πŸ”₯βš–οΈπŸ‡ΊπŸ‡Έ", "description": "Scrape lawyer profiles from Avvo.com βš–οΈπŸ‡ΊπŸ‡Έ with a powerful legal directory scraper. \n\nExtract attorney names, specialties, locations, ratings, reviews, contact details, and profile URLs. \n\nIdeal for lead generation, legal market research, CRM enrichment, and AI/NLP datasets πŸ“ŠπŸš€ No coding required.", "version": "0.0", "x-build-id": "yV1WvICUW0U4CgVIx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~avvo-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-avvo-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~avvo-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-avvo-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~avvo-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-avvo-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "practice_area", "state", "max_items" ], "properties": { "practice_area": { "title": "Practice Area πŸ“‹, Select the practice area βš–οΈ to search for", "enum": [ "administrative-law", "admiralty-maritime", "adoption", "advertising", "agriculture", "alimony", "animal-dog-bites", "animal-law", "antitrust-trade-law", "appeals", "arbitration", "asylum", "aviation", "banking", "bankruptcy-debt", "birth-injury", "brain-injury", "business", "cannabis-law", "car-accidents", "chapter-11-bankruptcy", "chapter-13-bankruptcy", "chapter-7-bankruptcy", "child-abuse", "child-custody", "child-support", "civil-rights", "class-action", "commercial", "communications-media", "computer-fraud", "constitutional", "construction-development", "consumer-protection", "contracts-agreements", "copyright-application", "copyright-infringement", "corporate-incorporation", "credit-card-fraud", "credit-repair", "criminal-defense", "dui-dwi", "debt-lending-agreements", "debt-collection", "debt-settlement", "defective-dangerous-products", "discrimination", "divorce-separation", "domestic-violence", "drug-crime", "education", "elder-law", "election-campaigns-political-law", "employee-benefits", "employment-labor", "energy-utilities", "entertainment", "environmental-natural-resources", "equipment-finance-leasing", "estate-planning", "ethics-professional-responsibility", "expungement", "family", "federal-crime", "federal-regulation", "financial-markets-services", "foreclosure", "franchising", "gaming", "general-practice", "government", "government-contracts", "guardianship", "gun-law", "health-care", "health-insurance", "identity-theft", "immigration", "insurance", "insurance-fraud", "intellectual-property", "international-law", "internet", "juvenile", "land-use-zoning", "landlord-tenant", "lawsuits-disputes", "lemon-law", "libel-slander", "licensing", "life-insurance", "life-sciences-biotechnology", "limited-liability-company-llc", "litigation", "marriage-prenuptials", "mediation", "medicaid-medicare", "medical-malpractice", "mergers-acquisitions", "mesothelioma-asbestos", "military-law", "motorcycle-accident", "native-peoples-law", "nursing-home-abuse-neglect", "oil-gas", "partnership", "patent-application", "patent-infringement", "personal-injury", "power-of-attorney", "privacy", "probate", "project-finance", "public-finance-tax-exempt-finance", "real-estate", "residential", "securities-investment-fraud", "securities-offerings", "sex-crime", "sexual-harassment", "slip-fall-accident", "social-security", "speeding-traffic-ticket", "spinal-cord-injury", "state-local-municipal-law", "tax", "tax-fraud-tax-evasion", "telecommunications", "trademark-application", "trademark-infringement", "transportation", "trucking-accident", "trusts", "uncontested-divorce", "venture-capital", "violent-crime", "white-collar-crime", "wills-living-wills", "workers-compensation", "wrongful-death", "wrongful-termination" ], "type": "string", "description": "Select the practice area to search for", "default": "debt-collection" }, "state": { "title": "State/Location πŸ“, see full list with state abbreviations and their complete names in README (Information)", "enum": [ "al", "ak", "az", "ar", "ca", "co", "ct", "de", "dc", "fl", "ga", "hi", "id", "il", "in", "ia", "ks", "ky", "la", "me", "md", "ma", "mi", "mn", "ms", "mo", "mt", "ne", "nv", "nh", "nj", "nm", "ny", "nc", "nd", "oh", "ok", "or", "pa", "ri", "sc", "sd", "tn", "tx", "ut", "vt", "va", "wa", "wv", "wi", "wy", "atlanta", "boston", "chicago", "dallas", "houston", "los-angeles", "miami", "new-york", "philadelphia", "phoenix", "san-antonio", "san-jose", "seattle" ], "type": "string", "description": "Select state code or popular city", "default": "tx" }, "max_items": { "title": "Maximum number of lawyers to scrape πŸ”’", "type": "integer", "description": "Limits how many lawyer profiles will be scraped", "default": 50 } } }, "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 } } } } } } } } } } ```