FindLaw Scraper
Pricing
Pay per event
Scrape attorney and law firm data from FindLaw Lawyer Directory to generate high-quality, targeted legal industry leads
Pricing
Pay per event
Rating
0.0
(0)
Developer
BowTiedRaccoon
Actor stats
7
Bookmarked
169
Total users
5
Monthly active users
1.1 hours
Issues response
21 days ago
Last modified
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You can access the FindLaw Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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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~findlaw-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-findlaw-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": { "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." }, "states": { "title": "Business Location State", "type": "array", "description": "Business Location State", "items": { "type": "string", "enum": [ "AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "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", "PR", "RI", "SC", "SD", "TN", "TX", "UT", "VA", "VT", "WA", "WV", "WI", "WY", "DC", "AS", "GU", "MP", "VI", "UM" ], "enumTitles": [ "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Puerto Rico", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Virginia", "Vermont", "Washington", "West Virginia", "Wisconsin", "Wyoming", "District of Columbia", "American Samoa", "Guam", "Northern Mariana Islands", "U.S. Virgin Islands", "U.S. Minor Outlying Islands" ] } }, "practice_areas": { "title": "Practice Area", "type": "array", "description": "Practice Area", "items": { "type": "string", "enum": [ "Administrative Law", "Admiralty and Maritime", "Adoption", "ADR, Arbitration and Mediation", "Agriculture", "Airplane, Bus and Helicopter Accidents", "Animal and Dog Bites", "Antitrust", "Asbestos Mesothelioma", "Assault and Battery (Plaintiff)", "Auto Dealer Fraud", "Aviation", "Bad Faith Insurance", "Banking and Finance Law", "Bankruptcy", "Birth Injury", "Brain Injury", "Business and Commercial Law", "Business Organizations", "Cannabis Law", "Car Accidents", "Child Custody", "Child Support", "Civil Rights", "Class Actions", "Collaborative Law", "Collections", "Communications and Media Law", "Constitutional Law", "Construction", "Construction Accident", "Consumer Protection", "Contracts", "Copyrights", "Credit Repair", "Criminal Defense", "Dangerous Products", "Debtor and Creditor", "Defamation", "Disability Insurance", "Discrimination", "Divorce and Separation", "Domestic Violence", "Drug Crime", "Drugs and Medical Devices", "DUI and DWI", "Education", "Elder Law", "Election Campaign and Political Law", "Eminent Domain", "Employment Law (Employer)", "Employment Rights", "Entertainment, Sports and Leisure Law", "Environmental Law", "ERISA", "Estate Planning", "Ethics and Professional Responsibility", "Family Law", "Father's Rights", "Federal and White Collar Crimes", "Foreclosure and Alternatives", "Franchising", "Gaming", "Government Agencies and Programs", "Government Contracts", "Health Care Law", "Housing and Construction Defects", "Immigration", "Insurance Defense", "Insurance Law", "International Law", "Internet", "Labor Law", "Land Use and Zoning", "Landlord and Tenant", "Legal Malpractice", "Lemon Law", "Litigation and Appeals", "Medical Malpractice", "Mergers and Acquisitions", "Military", "Military Divorce", "Motor Vehicle Defects", "Native Peoples", "Natural Resources", "Nursing Home Abuse", "Oil, Gas and Energy", "Patents", "Personal Injury", "Personal Injury Defense", "Premises Liability", "Probate", "Professional Malpractice", "Railroad Worker Injury and FELA", "Real Estate", "Same Sex", "Science and Technology Law", "Securities", "Sex Crime", "Sexual Abuse", "Sexual Harassment", "Social Security", "Social Security Disability", "State, Local and Municipal Law", "Tax Increment Financing", "Tax Law", "Toxic Mold", "Toxic Torts", "Trademarks", "Traffic Ticket", "Transportation", "Truck Accident", "Trusts", "Veteran's Benefits", "Wage and Hour", "Whistleblower and Qui Tam", "Wills", "Workers' Compensation", "Wrongful Death", "Wrongful Termination" ] } }, "max_items": { "title": "Max items", "type": "integer", "description": "Maximum number of records you want to scrape. Set to 0 to scrape all.", "default": 20 }, "proxy_configuration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
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