# Grossmann Berger Scraper — German Real Estate Listings (`rigelbytes/grossmann-berger-scraper`) Actor Extract property listings, prices, agent contacts, and images from grossmann-berger.de. From $2/1,000 listings. JSON, CSV, Excel export. - **URL**: https://apify.com/rigelbytes/grossmann-berger-scraper.md - **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community) - **Categories:** Real estate, Integrations, News - **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.30 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Grossmann Berger Scraper Extract thousands of real estate listings from Grossmann Berger (grossmann-berger.de) to power property market research, price monitoring, and automated lead generation — from just **$2 per 1,000 listings**. --- ### What can Grossmann Berger Scraper do for you? - **Build property databases** — Extract complete listing details including prices, living areas, room counts, and property types from Grossmann Berger's search results. - **Enrich with contact data** — Access agent contact information, office details, and direct phone numbers for every listing. - **Monitor market trends** — Track price changes, new listings, and property availability across German cities like Berlin, Hamburg, and Munich. - **Automate real estate research** — Schedule regular scrapes to build historical datasets for investment analysis and market intelligence. - **Export in any format** — Get structured JSON output ready for CSV, Excel, or direct integration into your CRM or analytics pipeline. ### What data can you extract? | Field | Description | |-------|-------------| | 🏷️ Title | Listing title and page title | | 💰 Price | Purchase price in EUR | | 📐 Living Area | Square meters of living space | | 🛏️ Rooms | Number of rooms | | 🏙️ City & Location | City, postal code, street, and GPS coordinates | | 🏠 Property Type | Apartment, house, commercial | | 📋 Marketing Type | For sale or rent | | 🔍 Conditions | New build, existing property | | 📞 Contact Person | Agent name, phone, email, and office details | | 📄 Description | Full property description, location text, and features | | 🖼️ Images | Property photos and floor plans | | 📊 Page Data | Structured metadata including energy pass and infrastructure | ### Why use this scraper? - **📊 Market Research** — Analyze pricing trends and property availability across German real estate markets. - **🏢 Competitive Intelligence** — Monitor how Grossmann Berger positions properties in different segments and regions. - **🤝 Lead Generation** — Collect agent contact details for outreach and partnership opportunities. - **⚡ Automation** — Replace manual browsing with scheduled data extraction to your Apify Dataset. ### Pricing - **$2/1,000 listings** (no discount), **$1.70/1,000** (Bronze), **$1.50/1,000** (Silver), **$1.30/1,000** (Gold) - No hidden fees or limits on usage. ### How to use Grossmann Berger Scraper 1. **Create a free Apify account** at [apify.com](https://apify.com). 2. **Open the Grossmann Berger Scraper** and click "Try" or "Start." 3. **Paste a Grossmann Berger search URL** (e.g., a Berlin search with a 50 km radius). 4. **Set your maximum listings** (default: 20, or 0 for unlimited). 5. **Start the scraper** and wait for results. 6. **Download your data** as JSON, CSV, or Excel from the Apify Dataset. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `startUrl` | string | ✅ | Grossmann Berger search results URL to scrape listings from. | | `maxItems` | integer | ❌ | Maximum number of listings to scrape. Use `0` for unlimited. Default: `20`. | | `proxyConfiguration` | object | ❌ | Proxy settings for anti-bot protection. Default: Apify residential proxies. | #### 📝 Copy for Use: ```json { "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Why Choose This Scraper? - **Affordable**: Pay only $2 per 1,000 listings scraped — with discounts up to **$1.30/1,000** on higher Apify plans. - **Comprehensive**: Extract every available field — price, location, images, agent contacts, descriptions, and structured property metadata. - **Easy to Use**: Paste a search URL, choose your limits, and start. No coding required. - **Reliable**: Built with Apify's proven scraping infrastructure and residential proxy support for consistent results. ### Recommended Proxy Providers - **Shifter** - Reliable residential proxies all over the world. - Cheap rates - [Order Shifter Now](https://shifter.io/r/YoBB/order) - Get 10% Off any product, use coupan `rigelbytes-YoBB`. - **OxyLabs** - **100M+ Proxies** - Fastest proxies in the market - Real profile, human-like Residential IPs - Quality assurance framework for most reliable IPs - [Get Proxies](https://oxylabs.go2cloud.org/aff_c?offer_id=7\&aff_id=1366\&url_id=7) - **DataImpulse** - Covers **200+ Counties** - Reliable Residential Proxies for just $1/GB - [Get Residential Proxies](https://dataimpulse.com/?aff=89421) ### [![Learn More About Proxies](https://img.shields.io/badge/Learn_More-About_Proxies-blue?style=for-the-badge)](#understanding-proxies) ### 🙌 Why Buy Through Our Affiliate Link? - Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link. - Support Our Work: Each purchase helps us maintain and improve the tools and services we provide. - No Extra Cost: You pay the same price, but part of it goes to supporting our efforts. #### Running via Apify Console You can run this actor from the Apify Console by providing the necessary input parameters. #### Running via API You can trigger this actor using the Apify API, passing the required input in the request body. ### API Examples #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR-APIFY-TOKEN") run_input = { "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"] } } run = client.actor("rigelbytes/grossmann-berger-scraper").call(run_input=run_input) dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items ``` #### JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' }); const runInput = { startUrl: "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", maxItems: 20, proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] } }; const run = await client.actor("rigelbytes/grossmann-berger-scraper").call(runInput); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` #### cURL ```shell curl -X POST "https://api.apify.com/v2/acts/rigelbytes/grossmann-berger-scraper/runs?token=YOUR-APIFY-TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } }' ``` ### Output ![Grossmann Berger Scraper Output](https://github.com/faizanalii/apify-images/blob/main/Grossmann%20Berger%20Scraper.gif?raw=true) [![Detailed Data](https://img.shields.io/badge/Detailed%20Data-JSON-blue?style=for-the-badge)](#detailed-data) ### 🚀 Other Tools by Rigel Bytes Explore **97** more scraping tools by Rigel Bytes, organized by use case: #### 📱 Social Media Scrape Instagram, TikTok, LinkedIn, and more for content research and marketing intelligence. - 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Choose from 5 AI... - **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. - **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. - **[Zillow Agents Vault](https://apify.com/rigelbytes/zillow-agents-vault)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment. #### ⭐ Reviews & Ratings Monitor reviews and reputation data across review platforms. - **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights. - **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights. - **[Costco Product Scraper](https://apify.com/rigelbytes/costco-scraper)** — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability. Supports search... - **[HRS Hotel Reviews Scraper](https://apify.com/rigelbytes/hrs-hotel-reviews-scraper)** — Extract hotel details, room offers, and guest reviews from HRS hotel URLs. - **[HRS Hotel Scraper](https://apify.com/rigelbytes/hrs-scraper)** — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates. - **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights. - **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights. #### 🍔 Food & Delivery Extract restaurant, grocery, and delivery platform data. - **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation. - **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation. #### 🛠️ Developer Tools General-purpose scraping and automation tools. - **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their \*\*own... *** ### Understanding Proxies: When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location. #### Why Use Proxies? - Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer. - Access Geo-restricted Content: Proxies let you access content or websites restricted by location. - Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing. #### Types of Proxies 1. Residential Proxies - Real IP addresses provided by ISPs to home users. - They mimic regular users, making them harder to detect. - Best for: Long-term, undetectable scraping, and avoiding blocks. 2. Data Center Proxies - IP addresses from servers in data centers. - Faster and cheaper than residential proxies but easier to detect and block. - Best for: High-speed scraping, but with a higher risk of detection. 3. Mobile Proxies - IPs provided by mobile carriers (3G/4G/5G networks). - Very difficult to detect, as they appear as regular mobile users. - Best for: Mobile-related scraping or avoiding sophisticated blocks. #### Rotating Proxies vs. Straight Proxies - Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns. - Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP. ### About Rigel Bytes Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making. ### Contact Us Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals. ### Detailed Data ```json [ { "url": "https://www.grossmann-berger.de/immobiliensuche", "listingId": "01517aa0-4468-4c17-9548-1913742f716c", "title": "Immobiliensuche", "price": "532000.00", "currency": "EUR", "rooms": "2.00", "livingArea": "62.86", "city": null, "postalCode": null, "marketingTypes": ["kaufen"], "propertyTypes": ["wohnung"], "conditions": ["neubau"], "latitude": 53.611339, "longitude": 9.9679094 }, { "url": "https://www.grossmann-berger.de/immobiliensuche/gepflegte-dhh-in-ruhiger-wohnlage", "listingId": "0376efba-1909-4d0c-8de7-0fa77c4066ae", "title": "Gepflegte DHH in ruhiger Wohnlage", "price": "360000.00", "currency": "EUR", "rooms": "4.00", "livingArea": "112.12", "city": "Lauenburg/Elbe", "postalCode": "21481", "marketingTypes": ["kaufen"], "propertyTypes": ["haus"], "conditions": ["bestand"], "latitude": 53.3849504, "longitude": 10.5503386 } ] ``` # Actor input Schema ## `startUrl` (type: `string`): Grossmann Berger search results URL to scrape listings from. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. Use 0 for unlimited. ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection. ## Actor input object example ```json { "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `listings` (type: `string`): Dataset containing scraped property listings ## `runStats` (type: `string`): Aggregate scrape statistics for this run # 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 = { "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("rigelbytes/grossmann-berger-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 = { "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 3, } # Run the Actor and wait for it to finish run = client.actor("rigelbytes/grossmann-berger-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 '{ "startUrl": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50", "maxItems": 3 }' | apify call rigelbytes/grossmann-berger-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rigelbytes/grossmann-berger-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grossmann Berger Scraper — German Real Estate Listings", "description": "Extract property listings, prices, agent contacts, and images from grossmann-berger.de. From $2/1,000 listings. JSON, CSV, Excel export.", "version": "1.0", "x-build-id": "3nC0y1iTptwBaTd8E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rigelbytes~grossmann-berger-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rigelbytes-grossmann-berger-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/rigelbytes~grossmann-berger-scraper/runs": { "post": { "operationId": "runs-sync-rigelbytes-grossmann-berger-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/rigelbytes~grossmann-berger-scraper/run-sync": { "post": { "operationId": "run-sync-rigelbytes-grossmann-berger-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": [ "startUrl" ], "properties": { "startUrl": { "title": "Start URL", "type": "string", "description": "Grossmann Berger search results URL to scrape listings from.", "default": "https://www.grossmann-berger.de/wohnen/immobiliensuche/sort:distanz/dir:asc/adresse:Berlin/umkreis:50" }, "maxItems": { "title": "Maximum Listings", "minimum": 0, "type": "integer", "description": "Maximum number of listings to scrape. Use 0 for unlimited.", "default": 20 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for anti-bot protection.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```