# USPTO Patent Attorney & Agent Leads Scraper (`scrapesage/uspto-patent-practitioner-scraper`) Actor Scrape every registered US patent practitioner from the official USPTO OED roster: name, registration number, type, firm, full address, phone & lead score. Filter by state, city, type or firm; monitor newly registered practitioners. B2B IP-law leads, no key or login. - **URL**: https://apify.com/scrapesage/uspto-patent-practitioner-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 practitioner records 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 ## USPTO Patent Attorney & Agent Leads Scraper — Registered Practitioners, Firms, Phones & Lead Scores Extract **every registered U.S. patent practitioner** from the official **USPTO Office of Enrollment & Discipline (OED) roster** — all ~53,000 active **patent attorneys, patent agents, limited-recognition and design-patent practitioners** — as clean, ready-to-use **B2B leads**: full name, registration number, practitioner type, firm/organization, complete mailing address, **phone number**, derived practice setting (law firm / in-house / solo / government / academic), region and a 0–100 lead score. No login, no cookies, no browser, no API key — a fast, reliable read of the official government roster with **~99% phone coverage**. ### Why this USPTO practitioner scraper? Most directory scrapers return a name and a registration number and stop there. This actor ships the **richest, most complete patent-practitioner dataset in the category**, straight from the federal source of truth, and turns every record into a contactable B2B lead — with **no start fee**. | Data | Typical scrapers | This actor | |---|---|---| | Name + registration number | ✅ | ✅ | | Practitioner **type** (attorney / agent / limited / design) | partial | ✅ | | **Firm / organization** | ❌ | ✅ ~73% (rest are solo) | | Full mailing **address** (street, city, state, ZIP) | partial | ✅ | | **Phone number** | ❌ | ✅ ~99% | | Derived **practice setting** (law firm / in-house / solo / gov / academic) | ❌ | ✅ | | Region, state name, government-employee flag | ❌ | ✅ | | **Lead score** (0–100) + lead signals | ❌ | ✅ | | Filter by state, city, type, firm, ZIP, reg-number | ❌ | ✅ | | **Monitor mode** — only newly-registered practitioners | ❌ | ✅ | | Start fee | often $0.05–0.10 | ✅ **none** | ### Use cases - **Lead generation** — registered patent practitioners are high-value buyers and partners. Score them by setting and contactability, then reach them by phone or mail for IP-docketing & management software, prior-art/search tools, patent-drawing & translation services, malpractice insurance, CLE, and legal marketing. - **Recruiting & talent mapping** — find patent attorneys and agents by state, city, firm, or practice setting (law firm vs. corporate in-house), with registration number and firm for sourcing and verification. - **Find-a-practitioner / referral** — inventors, startups and law firms can locate registered patent counsel by location and type, and confirm a practitioner is on the active roster. - **Market & competitive intelligence** — map the IP-law landscape: practitioner counts by state, region, firm and setting; track which firms are growing their patent benches. - **New-registrant monitoring** — schedule monitor mode to capture practitioners as they are newly added to the roster — a fresh, high-intent signal for onboarding offers. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **USPTO Patent Attorney & Agent Leads Scraper**, choose your filters (e.g. `states: ["CA"]`, `practitionerTypes: ["attorney"]`), set **Max results**, and click **Start**. 3. Watch results stream into the dataset table. 4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "states": ["CA"], "practitionerTypes": ["attorney"], "withPhoneOnly": true, "sortBy": "leadScore", "maxResults": 100 } ```` - **states** — USPS state/territory codes (`CA`, `NY`, `TX`, `DC`…). Empty = all states. - **cities** — city names (case-insensitive, exact match), e.g. `Alexandria`, `San Francisco`. - **practitionerTypes** — `attorney`, `agent`, `limited`, `design`. Empty = all types. - **firmName** — keep only practitioners whose firm/organization contains this text (e.g. `Fish`, `Google`). - **name / keyword** — match a name, or a keyword across name, firm, city, state. - **practiceSettings** — `law_firm`, `corporate`, `solo`, `government`, `academic`, `other`. - **registrationNumbers** — direct lookup of specific practitioners by USPTO registration number. - **zipCodes / countries** — filter by 5-digit ZIP or country code. - **withPhoneOnly / withFirmOnly** — keep only practitioners with a phone, or with a firm. - **minLeadScore** — keep only practitioners at or above a lead score (0–100). - **sortBy** — `leadScore` (default), `name`, `state`, `firm`, `registrationNumber` (newest registered first), `source`. - **maxResults** *(default 100)* — cap the number of records. The full roster has ~53,000 active practitioners. - **monitorMode** *(default false)* — remember practitioners seen on previous runs (by registration number) and emit only **newly-registered** or changed practitioners. Perfect on a schedule. - **monitorKey** — name a monitor so different saved searches track new practitioners separately. - **proxyConfiguration** — the roster is a public US government download that works without a proxy; enable Apify Proxy only as a retry fallback. ### Output One clean record per practitioner (`recordType: "patentPractitioner"`): ```json { "recordType": "patentPractitioner", "registrationNumber": "43454", "fullName": "Anders T Aannestad", "firstName": "Anders", "lastName": "Aannestad", "practitionerType": "ATTORNEY", "practitionerTypeLabel": "Patent Attorney", "isPatentAttorney": true, "isPatentAgent": false, "firmName": "Morrison & Foerster LLP", "practiceSetting": "law_firm", "practiceSettingLabel": "Law Firm", "isSoloPractitioner": false, "isInHouseCounsel": false, "addressLine1": "12531 High Bluff Drive", "addressLine2": "Suite 100", "streetAddress": "12531 High Bluff Drive, Suite 100", "city": "San Diego", "state": "CA", "stateName": "California", "zipCode": "92130", "country": "US", "region": "West", "fullAddress": "Morrison & Foerster LLP, 12531 High Bluff Drive, Suite 100, San Diego, CA 92130", "phone": "(858) 720-5159", "hasPhone": true, "hasFirm": true, "hasFullAddress": true, "leadScore": 90, "leadSignals": [ "Firm: Morrison & Foerster LLP", "Patent attorney (can litigate & give legal advice)", "Law-firm practitioner" ], "source": "USPTO Office of Enrollment & Discipline — Active Roster", "scrapedAt": "2026-06-26T16:19:31.725Z" } ``` ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it daily/weekly with **monitor mode** on to capture newly-registered practitioners as they appear; perfect for a fresh-leads pipeline. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/uspto-patent-practitioner-scraper').call({ states: ['CA', 'NY'], practitionerTypes: ['attorney'], withPhoneOnly: true, maxResults: 500, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} patent practitioner leads`); ``` > **Monitor mode vs. Apify Schedules.** They work together. *Schedules* decide **when** the actor runs; *monitor mode* decides **what** it returns — only practitioners that are new or changed since the last run. Turn both on for an automatic, deduplicated new-registrant feed. ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new practitioner leads straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored search finds new practitioners. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find patent attorneys at boutique IP firms in California with phone numbers" and let it run this scraper for you. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### More scrapers from scrapesage Build a complete **IP, legal & B2B lead-gen stack**: - **[USPTO Trademark Scraper](https://apify.com/scrapesage/uspto-trademark-scraper)** — trademarks by keyword, owner or class, with brand-owner and filing-attorney leads. - **[Google Patents Scraper](https://apify.com/scrapesage/google-patents-scraper)** — patents, assignees, inventors, claims and citations. - **[FindLaw Scraper](https://apify.com/scrapesage/findlaw-scraper)** — attorney & law-firm leads across every practice area. - **[Avvo Scraper](https://apify.com/scrapesage/avvo-scraper)** — lawyer profiles, ratings, reviews and contact leads. - **[Martindale-Hubbell Scraper](https://apify.com/scrapesage/martindale-scraper)** — attorney & firm leads with ratings. - **[LinkedIn Company Scraper](https://apify.com/scrapesage/linkedin-company-scraper)** — firmographics & B2B company leads. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — enrich any firm's website for emails, phones and socials. - **[SEC EDGAR Scraper](https://apify.com/scrapesage/sec-edgar-scraper)** — company filings, financials and corporate data. - **[SAM.gov Scraper](https://apify.com/scrapesage/sam-gov-scraper)** — registered federal contractors and entities. ### Tips - **Exhaust a big state**: set `states: ["CA"]` and raise `maxResults` — California alone has ~6,500 practitioners. To export the entire roster, leave filters empty and set a high `maxResults`. - **Highest-quality leads first**: keep `sortBy: "leadScore"` and add `withPhoneOnly: true` and a `minLeadScore`. - **Boutique & solo targeting**: set `practiceSettings: ["solo", "law_firm"]` for direct decision-makers, or `["corporate"]` for in-house IP counsel. - **Recurring new-registrant feed**: turn on `monitorMode` and a [Schedule](https://docs.apify.com/platform/schedules) to receive only newly-added practitioners. ### FAQ **Where does the data come from?** The official **USPTO Office of Enrollment & Discipline (OED) active roster** — the federal register of every practitioner authorized to practice patent matters before the USPTO. It is the same data behind the public OED practitioner search. **Is an email address included?** No. The OED roster publishes name, firm, mailing address, phone, registration number and type — but not email. Phone is present on ~99% of records. To add emails, pair this with the [Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper) on each practitioner's firm domain. **What's the difference between a patent attorney and a patent agent?** Both have passed the USPTO patent bar and can prepare and prosecute patent applications. A **patent attorney** is also a licensed attorney (can give legal advice and litigate); a **patent agent** is not. This actor labels both and lets you filter by type. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **How do I get only newly-registered practitioners?** Turn on `monitorMode` and run on a [Schedule](https://docs.apify.com/platform/schedules). The actor remembers practitioners by registration number and emits only new or changed ones. **A field is empty — why?** Some practitioners are solo (no firm), have no suffix, or have a single-line address. Fields are `null` only when the roster doesn't publish them, not because the scraper skipped them. **Is this legal?** This actor reads publicly available U.S. government roster data. You are responsible for using the data in compliance with applicable laws and the USPTO's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `states` (type: `array`): Filter practitioners by USPS state/territory code (e.g. CA, NY, TX, DC). Leave empty for all states. Combine with city or firm filters to narrow further. ## `cities` (type: `array`): Filter by city name (case-insensitive, exact match), e.g. "San Francisco", "Alexandria". Leave empty for all cities. ## `practitionerTypes` (type: `array`): Filter by practitioner type. Accepts: attorney (patent attorney), agent (patent agent), limited (limited recognition), design (design patent practitioner). Leave empty for all types. ## `firmName` (type: `string`): Keep only practitioners whose firm or organization name contains this text (case-insensitive), e.g. "Fish", "Google", "Intellectual Property". ## `name` (type: `string`): Keep only practitioners whose full name contains this text (case-insensitive). ## `keyword` (type: `string`): Free-text keyword matched across name, firm, city, state and attention line. ## `practiceSettings` (type: `array`): Filter by derived practice setting: law\_firm, corporate (in-house), solo, government, academic, other. ## `registrationNumbers` (type: `array`): Look up specific practitioners by USPTO registration number (e.g. 40478). When set, location/type filters are ignored. ## `zipCodes` (type: `array`): Filter by 5-digit ZIP code. ## `countries` (type: `array`): Filter by country code (e.g. US, CA, GB, JP). Most practitioners are US; limited-recognition practitioners are often abroad. ## `withPhoneOnly` (type: `boolean`): Keep only practitioners that have a phone number on the roster (≈99% do). ## `withFirmOnly` (type: `boolean`): Keep only practitioners affiliated with a firm or organization (drops solo / unaffiliated practitioners). ## `minLeadScore` (type: `integer`): Keep only practitioners with a lead score (0-100) at or above this value. ## `sortBy` (type: `string`): How to order results before applying the limit. ## `maxResults` (type: `integer`): Maximum number of practitioner records to return. The full roster has ~53,000 active practitioners; set 0-style limits via a high number only when you intend to export many. ## `monitorMode` (type: `boolean`): Remember practitioners seen on previous runs (by registration number) and emit only NEWLY-registered practitioners or those whose firm/city/phone changed. Ideal on a schedule for a fresh-leads feed. Works independently of Apify Schedules. ## `monitorKey` (type: `string`): Name this monitor's memory so different saved searches track new practitioners separately (e.g. "ca-attorneys"). ## `includeRawFields` (type: `boolean`): Append the raw roster columns as a sourceFields array on each record (for auditing / debugging). ## `proxyConfiguration` (type: `object`): The roster is a public US government download that works without a proxy. Enable Apify Proxy only if you hit a transient block — it is used as a retry fallback. ## Actor input object example ```json { "states": [ "CA", "NY", "TX" ], "practitionerTypes": [ "attorney" ], "practiceSettings": [ "law_firm", "solo" ], "withPhoneOnly": false, "withFirmOnly": false, "sortBy": "leadScore", "maxResults": 100, "monitorMode": false, "monitorKey": "default", "includeRawFields": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): All scraped patent practitioner lead records as JSON items in the default dataset. # 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 = { "states": [ "CA" ], "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/uspto-patent-practitioner-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 = { "states": ["CA"], "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("scrapesage/uspto-patent-practitioner-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 '{ "states": [ "CA" ], "maxResults": 100 }' | apify call scrapesage/uspto-patent-practitioner-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/uspto-patent-practitioner-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USPTO Patent Attorney & Agent Leads Scraper", "description": "Scrape every registered US patent practitioner from the official USPTO OED roster: name, registration number, type, firm, full address, phone & lead score. Filter by state, city, type or firm; monitor newly registered practitioners. B2B IP-law leads, no key or login.", "version": "0.1", "x-build-id": "TBMOfkzf9TncZ62uj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~uspto-patent-practitioner-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-uspto-patent-practitioner-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~uspto-patent-practitioner-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-uspto-patent-practitioner-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~uspto-patent-practitioner-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-uspto-patent-practitioner-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "states": { "title": "States / territories", "type": "array", "description": "Filter practitioners by USPS state/territory code (e.g. CA, NY, TX, DC). Leave empty for all states. Combine with city or firm filters to narrow further.", "items": { "type": "string" } }, "cities": { "title": "Cities", "type": "array", "description": "Filter by city name (case-insensitive, exact match), e.g. \"San Francisco\", \"Alexandria\". Leave empty for all cities.", "items": { "type": "string" } }, "practitionerTypes": { "title": "Practitioner type", "type": "array", "description": "Filter by practitioner type. Accepts: attorney (patent attorney), agent (patent agent), limited (limited recognition), design (design patent practitioner). Leave empty for all types.", "items": { "type": "string" } }, "firmName": { "title": "Firm / organization contains", "type": "string", "description": "Keep only practitioners whose firm or organization name contains this text (case-insensitive), e.g. \"Fish\", \"Google\", \"Intellectual Property\"." }, "name": { "title": "Name contains", "type": "string", "description": "Keep only practitioners whose full name contains this text (case-insensitive)." }, "keyword": { "title": "Keyword (any field)", "type": "string", "description": "Free-text keyword matched across name, firm, city, state and attention line." }, "practiceSettings": { "title": "Practice setting", "type": "array", "description": "Filter by derived practice setting: law_firm, corporate (in-house), solo, government, academic, other.", "items": { "type": "string" } }, "registrationNumbers": { "title": "Registration numbers (direct lookup)", "type": "array", "description": "Look up specific practitioners by USPTO registration number (e.g. 40478). When set, location/type filters are ignored.", "items": { "type": "string" } }, "zipCodes": { "title": "ZIP codes", "type": "array", "description": "Filter by 5-digit ZIP code.", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Filter by country code (e.g. US, CA, GB, JP). Most practitioners are US; limited-recognition practitioners are often abroad.", "items": { "type": "string" } }, "withPhoneOnly": { "title": "Only with phone", "type": "boolean", "description": "Keep only practitioners that have a phone number on the roster (≈99% do).", "default": false }, "withFirmOnly": { "title": "Only with a firm / organization", "type": "boolean", "description": "Keep only practitioners affiliated with a firm or organization (drops solo / unaffiliated practitioners).", "default": false }, "minLeadScore": { "title": "Minimum lead score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Keep only practitioners with a lead score (0-100) at or above this value." }, "sortBy": { "title": "Sort by", "enum": [ "leadScore", "name", "state", "firm", "registrationNumber", "source" ], "type": "string", "description": "How to order results before applying the limit.", "default": "leadScore" }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of practitioner records to return. The full roster has ~53,000 active practitioners; set 0-style limits via a high number only when you intend to export many.", "default": 100 }, "monitorMode": { "title": "Monitor mode (only new / changed)", "type": "boolean", "description": "Remember practitioners seen on previous runs (by registration number) and emit only NEWLY-registered practitioners or those whose firm/city/phone changed. Ideal on a schedule for a fresh-leads feed. Works independently of Apify Schedules.", "default": false }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Name this monitor's memory so different saved searches track new practitioners separately (e.g. \"ca-attorneys\").", "default": "default" }, "includeRawFields": { "title": "Include raw source columns", "type": "boolean", "description": "Append the raw roster columns as a sourceFields array on each record (for auditing / debugging).", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "The roster is a public US government download that works without a proxy. Enable Apify Proxy only if you hit a transient block — it is used as a retry fallback.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```