# Moneyhouse.ch Scraper (`automation-lab/moneyhouse-ch-scraper`) Actor Extract public Swiss Moneyhouse company and person search results plus company profile fields for B2B leads, enrichment, KYC, and due diligence. - **URL**: https://apify.com/automation-lab/moneyhouse-ch-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Moneyhouse.ch Scraper Extract public Swiss company and person records from Moneyhouse.ch. Use this actor to turn Moneyhouse keyword searches and direct profile URLs into a clean dataset for lead generation, enrichment, KYC checks, compliance reviews, and due-diligence workflows. ### What does Moneyhouse.ch Scraper do? Moneyhouse.ch Scraper collects public records from Moneyhouse.ch search pages and company profile pages. It supports: - Keyword searches such as `novartis`, `roche`, or `zurich insurance` - Direct Moneyhouse search URLs - Direct company profile URLs - Optional detail-page enrichment - Public identifiers and registry metadata where visible - Dataset exports in JSON, CSV, Excel, XML, and RSS through Apify ### Who is it for? This actor is useful for teams that work with Swiss company data. Typical users include: - B2B sales teams building Swiss lead lists - Revenue operations teams enriching CRM accounts - KYC teams checking company identifiers and addresses - Compliance analysts collecting public registry context - Due-diligence researchers reviewing companies and foundations - Market researchers mapping Swiss organizations by keyword - Data teams normalizing Moneyhouse profile URLs ### Why use this actor? Moneyhouse is a popular Swiss company information source, but manual searches do not scale. This actor helps you: - Save repeated copy-and-paste work - Export consistent fields from public pages - Combine many searches into one dataset - Keep source URLs for audit trails - Enrich known profiles from direct URLs - Run repeatable workflows on Apify schedules ### What data can you extract? The dataset can include the following fields when they are visible publicly. | Field | Description | | --- | --- | | `query` | Search query that produced the row | | `rank` | Rank within parsed search results | | `entityType` | Company, person, or trademark | | `name` | Public Moneyhouse entity name | | `profileUrl` | Moneyhouse profile URL | | `address` | Search-result address text | | `streetAddress` | Street from company detail JSON-LD | | `postalCode` | Swiss postal code | | `locality` | City or locality | | `canton` | Canton or region when available | | `country` | Country code when available | | `status` | Public status parsed from visible result markup | | `legalForm` | Legal form from profile header | | `registerNumber` | Commercial register number when visible | | `uid` | UID / tax identifier when visible | | `vatId` | VAT identifier when visible | | `sector` | Public sector text | | `companyDescription` | Public description or meta description | | `foundingDate` | Founding date from public structured data | | `dissolutionDate` | Dissolution date if present | | `lastNotificationDate` | Last notification date when visible | | `management` | Public management names from structured data | | `sourceUrl` | Page used as the source | | `scrapedAt` | Extraction timestamp | ### How much does it cost to scrape Moneyhouse.ch? This actor uses pay-per-event pricing. You pay a $0.005 start fee and a per-record fee for each dataset item produced. Current per-record prices are tiered by Apify plan: FREE $0.000043217, BRONZE $0.00003758, SILVER $0.000029312, GOLD $0.000022548, PLATINUM $0.000015032, and DIAMOND $0.000010522. Cost depends on: - Number of search queries - Maximum records requested - Whether detail enrichment is enabled - Whether you enable Apify Proxy - Target availability and response time For low-cost lead discovery, set `includeDetails` to `false` first, then enrich selected direct profile URLs in a second run. ### Quick start 1. Open the actor on Apify. 2. Add one or more Moneyhouse search queries. 3. Keep `maxResults` low for the first test run. 4. Choose whether to fetch company detail pages. 5. Run the actor. 6. Download the dataset from the Apify dataset tab. ### Input: search queries Use `searchQueries` when you want Moneyhouse to find matching entities. Example: ```json { "searchQueries": ["novartis", "roche"], "maxResults": 40, "maxResultsPerQuery": 20, "includeDetails": true } ```` ### Input: direct Moneyhouse URLs Use `startUrls` when you already know the profile or search page. Example: ```json { "startUrls": [ { "url": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371" } ], "maxResults": 1, "includeDetails": true } ``` ### Input options explained #### `searchQueries` List of company, person, brand, UID, or keyword searches. #### `startUrls` List of direct Moneyhouse URLs. Supported URL types: - Search URLs - Company profile URLs - Person profile URLs where publicly visible #### `maxResults` Total cap for saved dataset rows. #### `maxResultsPerQuery` Per-query cap so one broad query does not consume the whole run. #### `includeDetails` When enabled, the actor opens public company profile pages and extracts available structured fields. #### `requestDelaySecs` A polite delay between requests. #### `useApifyProxy` Optional. Disabled by default because Moneyhouse pages are publicly reachable over normal HTTP in typical runs. ### Output example ```json { "query": "novartis", "rank": 1, "entityType": "company", "name": "Novartis Foundation", "profileUrl": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371", "address": "Lichtstrasse 35 | 4056 Basel", "streetAddress": "Lichtstrasse 35", "postalCode": "4056", "locality": "Basel", "canton": "BS", "country": "CH", "legalForm": "Foundation", "registerNumber": "CH-270.7.000.116-0", "uid": "CHE101861442", "vatId": "CHE-101.861.442 MWST", "sourceUrl": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371", "scrapedAt": "2026-06-29T00:00:00.000Z" } ``` ### Tips for better results - Start with exact company names. - Use multiple related brand names for group searches. - Keep `maxResultsPerQuery` bounded for broad words. - Disable details for large discovery runs. - Use direct profile URLs for enrichment runs. - Keep source URLs in your downstream database. ### Swiss B2B lead generation workflow A common workflow is: 1. Search by product category, brand, region, or group name. 2. Export public company names and Moneyhouse URLs. 3. Deduplicate by `profileUrl` or `uid`. 4. Enrich selected companies with detail pages. 5. Import the dataset into your CRM. ### KYC and compliance workflow For KYC and compliance teams: 1. Run direct company profile URLs from your onboarding queue. 2. Store `registerNumber`, `uid`, address, and legal form. 3. Keep `sourceUrl` and `scrapedAt` for auditability. 4. Compare public fields with customer-submitted information. ### Due-diligence workflow For due diligence: 1. Search target names and related foundations or holdings. 2. Review visible profile metadata. 3. Export management names where available publicly. 4. Link each record back to the original Moneyhouse page. ### Integrations Use this actor with: - Google Sheets through Apify integrations - Make or Zapier for CRM enrichment - Apify datasets for scheduled exports - Webhooks for lead-list notifications - Apify API for internal compliance tooling ### API usage with Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/moneyhouse-ch-scraper').call({ searchQueries: ['novartis'], maxResults: 25, includeDetails: true, }); console.log(run.defaultDatasetId); ``` ### API usage with Python ```python from apify_client import ApifyClient client = ApifyClient(token='YOUR_APIFY_TOKEN') run = client.actor('automation-lab/moneyhouse-ch-scraper').call(run_input={ 'searchQueries': ['novartis'], 'maxResults': 25, 'includeDetails': True, }) print(run['defaultDatasetId']) ``` ### API usage with cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~moneyhouse-ch-scraper/runs?token=$APIFY_TOKEN" \ -H 'Content-Type: application/json' \ -d '{"searchQueries":["novartis"],"maxResults":25,"includeDetails":true}' ``` ### MCP integration You can use this actor from MCP-compatible tools through Apify MCP. Claude Code CLI setup: ```bash claude mcp add apify-moneyhouse "https://mcp.apify.com/?tools=automation-lab/moneyhouse-ch-scraper" ``` Claude Desktop JSON config: ```json { "mcpServers": { "apify-moneyhouse": { "url": "https://mcp.apify.com/?tools=automation-lab/moneyhouse-ch-scraper" } } } ``` MCP server URL: ```text https://mcp.apify.com/?tools=automation-lab/moneyhouse-ch-scraper ``` Claude Code example prompt: ```text Use automation-lab/moneyhouse-ch-scraper to search Moneyhouse for "roche" and summarize the company URLs and UID values. ``` ### Scheduling Run the actor on an Apify schedule when you need periodic monitoring. Examples: - Weekly enrichment of new Swiss leads - Monthly due-diligence refreshes - Daily checks for a small list of known Moneyhouse URLs ### Limitations The actor extracts public fields visible without logging in. It does not bypass: - Login-only content - Premium reports - Credit-rating reports - Paywalled network views - Private personal data restrictions ### Proxy guidance Proxy use is optional. If your network is blocked, enable Apify Proxy and keep initial tests small. For most discovery runs, start without proxy to reduce cost. ### Data quality notes Moneyhouse may display different data for different entity types. Some fields are optional because: - Search rows are shorter than detail pages - Person pages expose different fields than company pages - Certain fields are not public - Some company profiles omit structured values ### Legality and responsible use This actor is designed for public web data. You are responsible for using exported data lawfully and in line with: - Moneyhouse.ch terms - Swiss data protection rules - GDPR where applicable - Your own compliance policies Do not use scraped personal data for unlawful profiling, spam, or discrimination. ### Troubleshooting: no results If a run returns no rows: - Check spelling of the query - Try the exact company name - Lower filters by using a broader query - Test a direct Moneyhouse profile URL - Confirm Moneyhouse is reachable from your environment ### Troubleshooting: blocked requests If requests fail with access errors: - Enable Apify Proxy - Reduce concurrency by keeping one actor run small - Increase `requestDelaySecs` - Avoid repeated large runs in a short time window ### Related scrapers Related automation-lab actors for company and lead workflows: - https://apify.com/automation-lab/google-maps-lead-finder - https://apify.com/automation-lab/yellowpages-scraper - https://apify.com/automation-lab/website-contact-finder - https://apify.com/automation-lab/company-funding-tracker ### FAQ #### Can I scrape Moneyhouse company profiles directly? Yes. Add direct Moneyhouse company URLs to `startUrls`. #### Can I collect UID numbers? Yes, when Moneyhouse exposes the UID publicly on the profile page or structured data. #### Can I scrape premium reports? No. This actor intentionally extracts only public fields visible without login. #### Can I use it for recurring monitoring? Yes. Use Apify schedules and keep `sourceUrl` plus `scrapedAt` in your records. #### Does it support people search? The actor parses public person search/profile links when present, but company profiles have the richest detail enrichment. #### How do I keep costs low? Use `includeDetails: false` for broad discovery, then enrich selected direct URLs later. # Actor input Schema ## `searchQueries` (type: `array`): Company, person, brand, UID, or lead-list keywords to search on Moneyhouse.ch. ## `startUrls` (type: `array`): Optional Moneyhouse search, company, or person URLs. Use this for exact profile enrichment. ## `maxResults` (type: `integer`): Total maximum dataset rows to save across all queries and direct URLs. ## `maxResultsPerQuery` (type: `integer`): Bound each keyword search so broad company-name searches do not consume the full run. ## `includeDetails` (type: `boolean`): When enabled, company results are enriched with public profile fields such as UID, register number, legal form, sector, dates, and management where visible without login. ## `requestDelaySecs` (type: `number`): Small delay to keep requests polite and reduce target-side blocking. ## `useApifyProxy` (type: `boolean`): Disabled by default because Moneyhouse search is publicly reachable via normal HTTP. Enable if your run is blocked from your network. ## `proxyGroups` (type: `array`): Optional proxy groups, for example RESIDENTIAL. Leave empty for automatic Apify Proxy selection when proxy use is enabled. ## Actor input object example ```json { "searchQueries": [ "novartis", "roche", "zurich insurance" ], "startUrls": [ { "url": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371" } ], "maxResults": 20, "maxResultsPerQuery": 20, "includeDetails": true, "requestDelaySecs": 0.5, "useApifyProxy": false } ``` # 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 = { "searchQueries": [ "novartis", "roche", "zurich insurance" ], "startUrls": [ { "url": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371" } ], "maxResults": 20, "maxResultsPerQuery": 20, "includeDetails": true, "requestDelaySecs": 0.5, "useApifyProxy": false }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/moneyhouse-ch-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 = { "searchQueries": [ "novartis", "roche", "zurich insurance", ], "startUrls": [{ "url": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371" }], "maxResults": 20, "maxResultsPerQuery": 20, "includeDetails": True, "requestDelaySecs": 0.5, "useApifyProxy": False, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/moneyhouse-ch-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 '{ "searchQueries": [ "novartis", "roche", "zurich insurance" ], "startUrls": [ { "url": "https://www.moneyhouse.ch/en/company/novartis-foundation-4298147371" } ], "maxResults": 20, "maxResultsPerQuery": 20, "includeDetails": true, "requestDelaySecs": 0.5, "useApifyProxy": false }' | apify call automation-lab/moneyhouse-ch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/moneyhouse-ch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Moneyhouse.ch Scraper", "description": "Extract public Swiss Moneyhouse company and person search results plus company profile fields for B2B leads, enrichment, KYC, and due diligence.", "version": "0.1", "x-build-id": "UegJ1clzSa6WjcDmO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~moneyhouse-ch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-moneyhouse-ch-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~moneyhouse-ch-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-moneyhouse-ch-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~moneyhouse-ch-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-moneyhouse-ch-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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Company, person, brand, UID, or lead-list keywords to search on Moneyhouse.ch.", "items": { "type": "string" } }, "startUrls": { "title": "Direct Moneyhouse URLs", "type": "array", "description": "Optional Moneyhouse search, company, or person URLs. Use this for exact profile enrichment.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Maximum records", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Total maximum dataset rows to save across all queries and direct URLs.", "default": 20 }, "maxResultsPerQuery": { "title": "Maximum records per search query", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Bound each keyword search so broad company-name searches do not consume the full run.", "default": 20 }, "includeDetails": { "title": "Fetch company detail pages", "type": "boolean", "description": "When enabled, company results are enriched with public profile fields such as UID, register number, legal form, sector, dates, and management where visible without login.", "default": true }, "requestDelaySecs": { "title": "Delay between requests (seconds)", "minimum": 0, "maximum": 10, "type": "number", "description": "Small delay to keep requests polite and reduce target-side blocking.", "default": 0.5 }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Disabled by default because Moneyhouse search is publicly reachable via normal HTTP. Enable if your run is blocked from your network.", "default": false }, "proxyGroups": { "title": "Apify Proxy groups", "type": "array", "description": "Optional proxy groups, for example RESIDENTIAL. Leave empty for automatic Apify Proxy selection when proxy use is enabled.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```