# Lawyer.com Directory Scraper (`automation-lab/lawyer-com-directory-scraper`) Actor Extract Lawyer.com attorney and law firm listings with profile URLs, phones, addresses, firms, practice areas, and pagination source data. - **URL**: https://apify.com/automation-lab/lawyer-com-directory-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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. 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 ## Lawyer.com Directory Scraper ### Overview This actor extracts law firm and lawyer directory entries from Lawyer.com for a given search term and location. It resolves nearby results through Lawyer.com autosuggest endpoints, builds profile URLs, and enriches each profile with contact details where available. ### What does it do Lawyer.com Directory Scraper turns public Lawyer.com directory pages into structured lead and research data. It can start from a practice area and location, such as `bankruptcy` in `New York, NY`, or from one or more direct Lawyer.com listing URLs. For supported practice/location combinations, the actor follows listing pagination, extracts the visible lawyer cards, and returns clean profile links, firm names, phone numbers, addresses, practice areas, and source metadata. When a search term cannot be mapped to a public directory page, the actor falls back to Lawyer.com autosuggest/profile discovery. This keeps common prospecting runs useful while still allowing exact listing URL runs for repeatable coverage. ### Why use it Use this actor when you need a repeatable legal-directory extraction workflow instead of manually copying Lawyer.com search results. It is built for directory-scale collection, CRM enrichment, market research, and local legal services analysis. The actor is HTTP-first and does not open a browser, so it is fast and cost-efficient for supported public pages. It also exposes direct listing URL input, which lets analysts run large batches across multiple cities or practice categories with deterministic source pages. ### Who is it for - Legal services agencies building local lead lists. - Go-to-market teams collecting attorney contact information. - Sales teams validating CRM contacts for legal firms. - Researchers tracking directories in a specific geography. ### Core use cases - Collecting names, types, and profile links for lawyers/firms. - Pulling public contact details for outreach workflows. - Enriching prospecting pipelines by location or practice niche. - Auditing the presence of a firm or lawyer in specific markets. ### Input #### Required inputs - `searchQuery` *(string, required)* - Keywords for the directory search. - Examples: `bankruptcy`, `family law`, `Johnson legal services`. - `locationQuery` *(string, required)* - Location string that can be resolved by Lawyer.com geosuggest. - Examples: `New York`, `90210`, `Austin TX`. #### Optional controls - `maxResults` *(number)* - Maximum number of profile entries to attempt. - Default: `50`. - Practical cap for cost control: we recommend 20 for initial tests. - `maxRequestRetries` *(number)* - Retry limit for failed HTTP calls. - Default: `3`. #### Input validation behavior - Provide either `listingUrls` or both `searchQuery` and `locationQuery`. - Direct Lawyer.com listing URLs are scraped first and support pagination. - When listing URLs are omitted, the actor builds a Lawyer.com directory URL from common practice/location terms and falls back to autosuggest discovery. - Empty queries are rejected before web traffic begins. ### Output Each dataset item has these fields: - `name` — Lawyer or firm display name. - `firmName` — Firm or office name shown on the directory card. - `profileUrl` — Public profile URL. - `firmUrl` — Public firm profile URL when shown. - `profileType` — `lawyer` or `office` (inferred from source payload). - `sourceLocation` — Source location string returned by search response. - `city` — City parsed from the listing address. - `distanceMiles` — Distance text/number from geolocation source. - `phone` — Telephone number if available. - `address` — Address fields merged from profile payload and fallback selectors. - `description` — Biography or summary text if present. - `practiceAreas` — Practice area array (normalized from structured and page sources). - `website` — External website URL if present. - `profileImageUrl` — Profile image URL when available. - `state` — State extracted from location metadata. - `countryCode` — Country code from location metadata. - `sourceListingUrl` — Directory page where the record was found. - `pageNumber` — Pagination page visited for the record. - `positionOnPage` — Position on that source page. ### Output dataset / examples #### Minimal output row ```json { "name": "Harbor Family Law", "firmName": "Harbor Family Law PLLC", "profileType": "office", "profileUrl": "https://www.lawyer.com/firm/harbor-family-law", "firmUrl": "https://www.lawyer.com/firms/harbor-family-law-pllc.html", "sourceLocation": "New York, NY", "city": "New York", "distanceMiles": 0, "phone": "+1 555-123-4567", "address": "12 Legal Ave, New York, NY 10001", "description": "Family law attorneys focused on divorce and custody.", "practiceAreas": ["Family Law", "Divorce"], "website": "https://examplelaw.com", "profileImageUrl": "https://www.lawyer.com/img/logo.png", "state": "NY", "countryCode": "US", "sourceListingUrl": "https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm", "pageNumber": 1, "positionOnPage": 3 } ```` #### Notes on missing fields Fields are best-effort extracted. If a source page does not expose a value, this actor may return an empty string or empty array. Rows without address are still useful for follow-up enrichment and can be filtered downstream. ### Example input ```json { "searchQuery": "bankruptcy", "locationQuery": "New York", "maxResults": 20, "maxRequestRetries": 3 } ``` ### Example Run API usage #### Node.js (Apify SDK) ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'APIFY_API_TOKEN', }); const actor = client.actor('automation-lab/lawyer-com-directory-scraper'); const run = await actor.call({ searchQuery: 'bankruptcy', locationQuery: 'New York, NY', listingUrls: ['https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm'], maxResults: 20, maxPages: 2, maxRequestRetries: 3, }); console.log('Run ID:', run.id); console.log('Default dataset items:', run.defaultDatasetId); ``` #### Python (apify-client) ```python from apify_client import ApifyClient client = ApifyClient('APIFY_API_TOKEN') actor = client.actor('automation-lab/lawyer-com-directory-scraper') run = actor.call(run_input={ 'searchQuery': 'bankruptcy', 'locationQuery': 'New York, NY', 'listingUrls': ['https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm'], 'maxResults': 20, 'maxPages': 2, 'maxRequestRetries': 3, }) print('Run ID:', run['id']) print('Dataset:', run['defaultDatasetId']) ``` #### cURL ```bash curl -X POST \ -H 'Content-Type: application/json' \ -d '{"input":{"searchQuery":"bankruptcy","locationQuery":"New York, NY","listingUrls":["https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm"],"maxResults":20,"maxPages":2,"maxRequestRetries":3}}' \ "https://api.apify.com/v2/acts/automation-lab~lawyer-com-directory-scraper/runs?token=$APIFY_API_TOKEN" ``` ### MCP integration Use Apify's hosted MCP endpoint for this actor: ```text https://mcp.apify.com?tools=automation-lab/lawyer-com-directory-scraper ``` The actor maps naturally to a simple MCP tool configuration. - Expose one tool: `run_lawyer_directory_scraper`. - Input schema should mirror the actor input fields. - Return value should be the dataset item array from the run. - Keep `maxResults` small during smoke test loops for deterministic cost behavior. #### Claude Desktop MCP setup ```json { "mcpServers": { "lawyer-scraper": { "url": "https://mcp.apify.com?tools=automation-lab/lawyer-com-directory-scraper", "headers": { "Authorization": "Bearer APIFY_API_TOKEN" } } } } ``` #### Claude Code MCP setup ```bash claude mcp add --transport http lawyer-scraper "https://mcp.apify.com?tools=automation-lab/lawyer-com-directory-scraper" ``` #### Cursor and VS Code MCP setup Add a remote MCP server with this URL and an `Authorization: Bearer APIFY_API_TOKEN` header: ```text https://mcp.apify.com?tools=automation-lab/lawyer-com-directory-scraper ``` #### MCP usage prompts Example prompt: > Find 20 bankruptcy lawyers in New York and return entries with phone and website fields only. Example response behavior: > Provide the extracted list in CSV with columns `name`, `profileUrl`, `phone`, `website`, `practiceAreas`, and `address`. #### Suggested JSON response contract ```json { "tool": "run_lawyer_directory_scraper", "input": { "searchQuery": "bankruptcy", "locationQuery": "New York", "maxResults": 20, "maxRequestRetries": 3 } } ``` ### Pricing - One-time start charge: `$0.005` for each actor run. - Item charges are metered per extracted record using tiered pay-per-event pricing. - Free tier example: 25 extracted items costs about `$0.0338` before platform plan allowances. - Bronze tier example: 100 extracted items costs about `$0.105` at the configured listing price. - Use smaller `maxResults` values while iterating on queries to keep costs predictable. - Re-use repeated runs on stable inputs if your pipeline retries. ### Integrations and workflow patterns - Send extracted lawyers into a CRM as new local legal-services leads. - Join output with a website enrichment actor to validate external domains. - Use Apify webhooks to notify a downstream workflow when a city/practice scrape finishes. - Run multiple direct `listingUrls` in one actor call when you need larger practice-area coverage. - Trigger the actor from Apify MCP to let an AI assistant gather public lawyer directory data during research. ### API behavior and reliability #### Network and scraping strategy The actor uses server-rendered directory pages first, follows listing pagination, and uses endpoint-based discovery as a fallback. It is intentionally HTTP-first and does not use browser rendering. #### Rate and retry behavior - Request retries are controlled by `maxRequestRetries`. - HTTP failures can still happen on anti-bot-protected pages. - Unreachable or malformed profiles are skipped while preserving the main run integrity. #### Why some rows have missing data - Not every profile exposes all fields. - Some entries can be placeholders with no public profile details. - Structured data may be inconsistent across profile types. ### Limitations - This actor depends on public Lawyer.com pages and their current JSON/HTML structure. - Anti-bot changes or HTML redesigns can reduce extraction completeness. - If the directory API changes path/query semantics, field availability may shift. - No CAPTCHA solving is implemented in this actor. ### Legality and permissions The actor is intended for lawful data collection and testing. Users should: - Verify whether their use case complies with Lawyer.com terms. - Respect applicable data use and privacy rules. - Avoid collecting personal data for unauthorized purposes. ### Troubleshooting #### No results returned - Check if `searchQuery` is specific enough. - Verify that `locationQuery` resolves to a known location. - Try a larger city or state instead of a narrow ZIP. #### Run succeeds but dataset is empty - The query may not match public entries. - Location resolution can drift for ambiguous names. - Profile enrichment endpoints may be temporarily unavailable. #### Sudden extraction drops - Lawyer.com can throttle at source. - Retry with lower `maxResults` and higher `maxRequestRetries`. - Compare multiple test runs and only keep stable result patterns. ### FAQ #### Does this return only lawyers? It returns both lawyers and office/firm entries. `profileType` helps separate them downstream. #### Can I get complete pagination? The source payload determines available suggestions. If upstream results are limited, follow-up runs with tuned location and query terms are recommended. #### Can I set memory options? Yes. Default run memory is set to 256 MB for baseline runs. The platform may allow overriding run memory per invocation. #### Does this work with large query volumes? Yes, but for large sweeps consider smaller batches and strict filtering to protect cost. ### Related scrapers - [Yellow Pages Scraper](https://apify.com/automation-lab/yellowpages-scraper) - [Google Maps Lead Finder](https://apify.com/automation-lab/google-maps-lead-finder) - [LinkedIn Profile Scraper](https://apify.com/automation-lab/linkedin-profile-scraper) - [Website Contact Finder](https://apify.com/automation-lab/website-contact-finder) ### Changelog notes - Initial release: directory search + profile enrichment and dataset output. - Added profile-type distinction (`lawyer` vs `office`). - Added local best-effort enrichment from JSON-LD and DOM fallbacks. - Added usage examples for API and automation integration. ### Security notes - API tokens should never be hardcoded in actor source code. - Store credentials in secure platform secret stores. - Limit sharing of scraped output with unauthorized parties. ### Roadmap - Add optional deep profile enrichment with office contact deduplication. - Add stricter address normalization by region and country. - Add optional webhook callback on run completion. ### Final notes Keep sample runs conservative during validation. When you move to production, increase coverage gradually and monitor charged-event counts, run failure rate, and output completeness. # Actor input Schema ## `searchQuery` (type: `string`): Search text used for query matching. This can be a practice area (e.g. bankruptcy) or a firm name. ## `locationQuery` (type: `string`): Location query, typically city and state or ZIP code. ## `listingUrls` (type: `array`): Optional Lawyer.com directory/listing URLs to scrape directly. When provided, these override search and location discovery. ## `maxResults` (type: `integer`): Maximum number of profiles to extract. ## `maxPages` (type: `integer`): Maximum number of paginated directory pages to visit for each listing URL. ## `maxRequestRetries` (type: `integer`): HTTP retry limit for request failures. ## Actor input object example ```json { "searchQuery": "bankruptcy", "locationQuery": "New York", "listingUrls": [ "https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm" ], "maxResults": 20, "maxPages": 2, "maxRequestRetries": 3 } ``` # 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 = { "searchQuery": "bankruptcy", "locationQuery": "New York", "listingUrls": [ "https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm" ], "maxResults": 20, "maxPages": 2, "maxRequestRetries": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/lawyer-com-directory-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 = { "searchQuery": "bankruptcy", "locationQuery": "New York", "listingUrls": ["https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm"], "maxResults": 20, "maxPages": 2, "maxRequestRetries": 3, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/lawyer-com-directory-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 '{ "searchQuery": "bankruptcy", "locationQuery": "New York", "listingUrls": [ "https://www.lawyer.com/new-york-bankruptcy-debt-lawyer-ny.htm" ], "maxResults": 20, "maxPages": 2, "maxRequestRetries": 3 }' | apify call automation-lab/lawyer-com-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/lawyer-com-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lawyer.com Directory Scraper", "description": "Extract Lawyer.com attorney and law firm listings with profile URLs, phones, addresses, firms, practice areas, and pagination source data.", "version": "0.1", "x-build-id": "fQziKqgfokTn9TNPY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~lawyer-com-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-lawyer-com-directory-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~lawyer-com-directory-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-lawyer-com-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~lawyer-com-directory-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-lawyer-com-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery", "locationQuery" ], "properties": { "searchQuery": { "title": "Practice area or lawyer name", "type": "string", "description": "Search text used for query matching. This can be a practice area (e.g. bankruptcy) or a firm name." }, "locationQuery": { "title": "Location", "type": "string", "description": "Location query, typically city and state or ZIP code." }, "listingUrls": { "title": "Listing URLs", "type": "array", "description": "Optional Lawyer.com directory/listing URLs to scrape directly. When provided, these override search and location discovery.", "items": { "type": "string" } }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of profiles to extract.", "default": 50 }, "maxPages": { "title": "Maximum pages", "minimum": 1, "maximum": 25, "type": "integer", "description": "Maximum number of paginated directory pages to visit for each listing URL.", "default": 5 }, "maxRequestRetries": { "title": "Request retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "HTTP retry limit for request failures.", "default": 3 } } }, "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 } } } } } } } } } } ```