# Das Oertliche Scraper (`automation-lab/das-oertliche-scraper`) Actor 🇩🇪 Scrape Das Örtliche by keyword and city for German business leads with names, addresses, phones, websites, emails, ratings, and profile URLs. - **URL**: https://apify.com/automation-lab/das-oertliche-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, 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 ## Das Oertliche Scraper Extract public German local-business listings from Das Örtliche by keyword and city. Use it to build lead lists, verify contact details, and enrich CRM or local SEO workflows with structured business data. ### What does Das Oertliche Scraper do? Das Oertliche Scraper searches `dasoertliche.de` result pages and saves public business listings to an Apify dataset. It can: - 🔎 Search by business keyword and German city - 🧾 Read existing Das Örtliche result URLs - ☎️ Extract public phone and fax numbers - 🌐 Open profile pages for public website and email links - 📍 Parse address components such as street, postal code, city, and district - ⭐ Capture rating and review count when visible - 🧹 Deduplicate overlapping leads by profile URL and phone ### Who is it for? This actor is designed for teams that need German local directory data in a repeatable workflow. Each persona below can turn the same Das Örtliche search inputs into a different operational workflow. #### 💼 B2B sales and SDR teams - Build city-by-city prospect lists for dentists, installers, agencies, restaurants, and other local services. - Export phone numbers, websites, categories, and source URLs into CRM enrichment or outbound sequencing tools. - Re-run the same keyword and city combinations regularly to find new local businesses. #### 📈 Local SEO and citation agencies - Map competitor presence across German cities and business categories. - Check whether clients have consistent directory profiles, phone numbers, websites, and category labels. - Collect profile URLs that analysts can review before citation cleanup or local ranking reports. #### 🧑‍💼 Recruiters, staffing, and partnerships teams - Research regional employers by industry and location before outreach campaigns. - Prioritize companies with public websites, phone numbers, review counts, and active directory listings. - Build territory lists for field recruiters, franchise teams, or partner managers. #### 🏢 Market research and data operations teams - Size local business categories across selected German cities with repeatable inputs. - Enrich internal company records with public address, phone, category, website, and source metadata. - Feed normalized JSON, CSV, Excel, or API output into downstream dashboards and data QA workflows. ### Why use it? Manual Das Örtliche searches are fine for a few contacts, but they do not scale. This actor turns repeated searches into a structured dataset with consistent fields, export formats, and API access. Use it when you need: - Faster lead collection across many cities - A repeatable enrichment process - Standard JSON, CSV, Excel, or API output - A transparent source URL for every record - Optional profile-page enrichment for public email and website links ### What data can it extract? | Field | Description | | --- | --- | | `name` | Business or professional name | | `profileUrl` | Das Örtliche detail page URL | | `category` | Main category shown in the result | | `categories` | Category/snippet terms split into a list | | `streetAddress` | Street and house number when parsed | | `postalCode` | German postal code | | `city` | City from the listing | | `district` | District/neighborhood when shown | | `phone` | Public telephone number | | `fax` | Public fax number when available | | `email` | Public email from the profile page when available | | `website` | Public website from the profile page when available | | `rating` | Public rating score when visible | | `reviewCount` | Number of public reviews when visible | | `openingStatus` | Opening-hours status text when visible | | `sourceKeyword` | Keyword used for the search | | `sourceCity` | City used for the search | | `position` | Search result position | | `scrapedAt` | ISO timestamp of extraction | ### How much does it cost to scrape Das Örtliche leads? The actor uses pay-per-event pricing. - A small start event is charged once per run. - A result event is charged for each saved listing. - Your final run cost depends on `maxItems`, detail enrichment, and proxy settings. For the cheapest first run, keep `maxItems` low and leave proxy disabled unless you see rate limiting. ### How to use Das Oertliche Scraper 1. Open the actor on Apify. 2. Enter one or more `keywords`, for example `Zahnarzt` or `Steuerberater`. 3. Enter one or more German `cities`, for example `Berlin` or `München`. 4. Set `maxItems` to the number of listings you need. 5. Keep `includeDetails` enabled if you need public website and email fields. 6. Run the actor. 7. Export the dataset as JSON, CSV, Excel, XML, or HTML. ### Input options #### Keywords Use business categories, services, professions, or company types. Examples: - `Zahnarzt` - `Steuerberater` - `Rechtsanwalt` - `Physiotherapie` - `Friseur` #### Cities Use German cities or localities supported by Das Örtliche. Examples: - `Berlin` - `Hamburg` - `München` - `Köln` - `Dresden` #### Exact keyword/city pairs Use `searchQueries` when each keyword should only run against a specific city. ```json [ { "keyword": "Steuerberater", "city": "München" }, { "keyword": "Zahnarzt", "city": "Berlin" } ] ```` #### Start URLs You can paste Das Örtliche result URLs directly. ```json [ { "url": "https://www.dasoertliche.de/?form_name=search_nat&kw=Zahnarzt&ci=Berlin" } ] ``` ### Example input ```json { "keywords": ["Zahnarzt"], "cities": ["Berlin"], "maxItems": 50, "includeDetails": true, "useApifyProxy": false } ``` ### Example output ```json { "name": "KU64 Dr. Ziegler & Partner", "profileUrl": "https://www.dasoertliche.de/?form_name=detail&id=...", "category": "Zahnärzte", "streetAddress": "Kurfürstendamm 64", "postalCode": "10707", "city": "Berlin", "district": "Charlottenburg", "phone": "030 8 64 73 20", "email": "info@example.de", "website": "http://example.de", "sourceKeyword": "Zahnarzt", "sourceCity": "Berlin", "position": 1, "scrapedAt": "2026-07-03T00:00:00.000Z" } ``` ### Tips for better results - Use German business terms rather than broad English categories. - Start with one city and a small `maxItems` value. - Enable proxy only if direct requests are rate-limited. - Use exact `searchQueries` for carefully planned regional campaigns. - Keep `includeDetails` enabled when email and website fields matter. ### Lead generation workflows Common workflows include: - Build a list of dentists in Berlin. - Find tax advisors in Munich. - Map tradespeople across several German cities. - Enrich CRM rows with public website and phone fields. - Compare local competitors for agency audits. ### Local SEO workflows Agencies can use the actor to check category coverage, discover competitors, and build citation-audit source lists. Useful columns for SEO work: - `name` - `category` - `address` - `phone` - `website` - `profileUrl` ### CRM enrichment workflows Export results to CSV or call the Apify API to feed records into HubSpot, Pipedrive, Salesforce, Airtable, Google Sheets, or a warehouse. Match records by: - Company name - Phone number - Website domain - Postal code and city ### Integrations Apify datasets can connect to many tools. - 📊 Google Sheets for review and cleanup - 🧲 CRM systems for sales outreach - 🗄️ BigQuery or Snowflake for analysis - 🔁 Make, Zapier, or n8n for automations - 🧪 Custom Node.js or Python scripts through the Apify API ### 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/das-oertliche-scraper').call({ keywords: ['Zahnarzt'], cities: ['Berlin'], maxItems: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Using the API with Python ```python from apify_client import ApifyClient import os client = ApifyClient(os.environ['APIFY_TOKEN']) run = client.actor('automation-lab/das-oertliche-scraper').call(run_input={ 'keywords': ['Zahnarzt'], 'cities': ['Berlin'], 'maxItems': 50, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` ### Using cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~das-oertliche-scraper/runs?token=$APIFY_TOKEN" \ -H 'Content-Type: application/json' \ -d '{"keywords":["Zahnarzt"],"cities":["Berlin"],"maxItems":50}' ``` ### MCP usage Use this actor through Apify MCP tools in Claude Code, Claude Desktop, or compatible MCP clients. MCP tool URL: ```text https://mcp.apify.com/?tools=automation-lab/das-oertliche-scraper ``` Add it in Claude Code: ```bash claude mcp add apify-das-oertliche --transport http https://mcp.apify.com/?tools=automation-lab/das-oertliche-scraper ``` Claude Desktop JSON config example: ```json { "mcpServers": { "apify-das-oertliche": { "url": "https://mcp.apify.com/?tools=automation-lab/das-oertliche-scraper" } } } ``` Example prompts: - "Run Das Oertliche Scraper for tax advisors in Munich and summarize the top websites." - "Find 100 dentists in Berlin and return a CSV-ready table." - "Compare categories for electricians in Hamburg from Das Örtliche results." ### Proxy and reliability notes Direct HTTP is used by default to reduce cost. If Das Örtliche rate-limits your workload, enable Apify Proxy and start with a low-cost proxy group before using residential proxies. The actor retries transient HTTP errors and skips detail enrichment failures without losing the base listing. ### FAQ and troubleshooting #### Why are email or website fields empty? Not every Das Örtliche listing exposes email or website links. Keep `includeDetails` enabled, and remember that the actor only extracts public links visible on the profile page. #### Why did I get fewer rows than `maxItems`? The source may have fewer matching listings than requested, or duplicate records may be removed when searches overlap. #### Why does a city return no results? Check the spelling and try the same keyword/city on Das Örtliche manually. Some smaller locations may require nearby city names. ### Data freshness Each run fetches current public pages from Das Örtliche and saves a `scrapedAt` timestamp. Schedule runs if you need recurring refreshes. ### Legality and responsible use This actor extracts publicly available business directory information. You are responsible for using the data lawfully, respecting applicable privacy, database, anti-spam, and terms-of-service requirements. Do not use scraped contact data for unlawful outreach. ### Related scrapers You may also find these automation-lab actors useful: - https://apify.com/automation-lab/das-telefonbuch-business-scraper - https://apify.com/automation-lab/gelbeseiten-scraper - https://apify.com/automation-lab/goyellow-business-directory-scraper - https://apify.com/automation-lab/11880-local-business-directory-scraper ### Changelog Initial version extracts Das Örtliche result listings with optional profile-page enrichment. ### Support If you need a field that is visible on Das Örtliche but not returned by this actor, open an Apify issue with an example URL and expected field. # Actor input Schema ## `keywords` (type: `array`): Business type, profession, company category, or service to search for on Das Örtliche. ## `cities` (type: `array`): German cities or locations to combine with every keyword. ## `searchQueries` (type: `array`): Optional list of exact searches. Use this when each keyword should be paired with a specific city. ## `startUrls` (type: `array`): Optional Das Örtliche search result URLs. URLs should include kw and ci parameters. ## `maxItems` (type: `integer`): Maximum business listings to save across all searches. ## `includeDetails` (type: `boolean`): Fetch each Das Örtliche profile page to extract public email, website, and extra contact fields when available. ## `includeWebsiteEmail` (type: `boolean`): Compatibility alias for detail enrichment. Keep enabled if you mainly need public email and website fields. ## `useApifyProxy` (type: `boolean`): Enable Apify Proxy if Das Örtliche rate-limits your run. Direct HTTP is used by default to keep costs low. ## `proxyGroups` (type: `array`): Optional Apify Proxy groups, for example SHADER or RESIDENTIAL. Leave empty for automatic proxy selection. ## Actor input object example ```json { "keywords": [ "Zahnarzt" ], "cities": [ "Berlin" ], "searchQueries": [ { "keyword": "Steuerberater", "city": "München" } ], "startUrls": [ { "url": "https://www.dasoertliche.de/?form_name=search_nat&kw=Zahnarzt&ci=Berlin" } ], "maxItems": 20, "includeDetails": true, "includeWebsiteEmail": true, "useApifyProxy": false, "proxyGroups": [ "SHADER" ] } ``` # 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 = { "keywords": [ "Zahnarzt" ], "cities": [ "Berlin" ], "searchQueries": [ { "keyword": "Steuerberater", "city": "München" } ], "startUrls": [ { "url": "https://www.dasoertliche.de/?form_name=search_nat&kw=Zahnarzt&ci=Berlin" } ], "maxItems": 20, "includeDetails": true, "includeWebsiteEmail": true, "useApifyProxy": false, "proxyGroups": [ "SHADER" ] }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/das-oertliche-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 = { "keywords": ["Zahnarzt"], "cities": ["Berlin"], "searchQueries": [{ "keyword": "Steuerberater", "city": "München", }], "startUrls": [{ "url": "https://www.dasoertliche.de/?form_name=search_nat&kw=Zahnarzt&ci=Berlin" }], "maxItems": 20, "includeDetails": True, "includeWebsiteEmail": True, "useApifyProxy": False, "proxyGroups": ["SHADER"], } # Run the Actor and wait for it to finish run = client.actor("automation-lab/das-oertliche-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 '{ "keywords": [ "Zahnarzt" ], "cities": [ "Berlin" ], "searchQueries": [ { "keyword": "Steuerberater", "city": "München" } ], "startUrls": [ { "url": "https://www.dasoertliche.de/?form_name=search_nat&kw=Zahnarzt&ci=Berlin" } ], "maxItems": 20, "includeDetails": true, "includeWebsiteEmail": true, "useApifyProxy": false, "proxyGroups": [ "SHADER" ] }' | apify call automation-lab/das-oertliche-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/das-oertliche-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Das Oertliche Scraper", "description": "🇩🇪 Scrape Das Örtliche by keyword and city for German business leads with names, addresses, phones, websites, emails, ratings, and profile URLs.", "version": "0.1", "x-build-id": "oI8qbkaQfqittAKhU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~das-oertliche-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-das-oertliche-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~das-oertliche-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-das-oertliche-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~das-oertliche-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-das-oertliche-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Keywords", "type": "array", "description": "Business type, profession, company category, or service to search for on Das Örtliche.", "items": { "type": "string" } }, "cities": { "title": "Cities or locations", "type": "array", "description": "German cities or locations to combine with every keyword.", "items": { "type": "string" } }, "searchQueries": { "title": "Exact keyword/city pairs", "type": "array", "description": "Optional list of exact searches. Use this when each keyword should be paired with a specific city.", "items": { "type": "object", "required": [ "keyword", "city" ], "properties": { "keyword": { "type": "string", "title": "Keyword", "description": "Business keyword to search for." }, "city": { "type": "string", "title": "City", "description": "German city or location for this keyword." } } } }, "startUrls": { "title": "Das Örtliche result URLs", "type": "array", "description": "Optional Das Örtliche search result URLs. URLs should include kw and ci parameters.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum listings", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum business listings to save across all searches.", "default": 20 }, "includeDetails": { "title": "Open detail pages for email and website", "type": "boolean", "description": "Fetch each Das Örtliche profile page to extract public email, website, and extra contact fields when available.", "default": true }, "includeWebsiteEmail": { "title": "Legacy email enrichment switch", "type": "boolean", "description": "Compatibility alias for detail enrichment. Keep enabled if you mainly need public email and website fields.", "default": true }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Enable Apify Proxy if Das Örtliche rate-limits your run. Direct HTTP is used by default to keep costs low.", "default": false }, "proxyGroups": { "title": "Proxy groups", "type": "array", "description": "Optional Apify Proxy groups, for example SHADER or RESIDENTIAL. Leave empty for automatic proxy selection.", "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 } } } } } } } } } } ```