# French-Property.com Scraper (`dadhalfdev/french-property-scraper`) Actor Scrape French property listings from French-Property.com. Use filters (sale/rent, type, location, bedrooms, price) or paste a search URL β€” the URL wins when set. Returns price, size, bedrooms, location, agency, DPE, and photos. - **URL**: https://apify.com/dadhalfdev/french-property-scraper.md - **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## 🏠 French-Property.com Scraper Want to pull property listings from [French-Property.com](https://www.french-property.com/) or explore the French buy/rent market for expats and buyers? This scraper makes it easy. Use **structured filters** β€” the same choices as on the website (popular areas, regions, departments, property type, bedrooms, prices, features) β€” **or paste an `input_url`** from your browser. When `input_url` is set, it overrides the filters. Either way, you get price, size, bedrooms, location, agency, DPE, and photos as CSV or JSON. ### πŸ’‘ Perfect for... - **Buyers & Renters:** Monitor houses and apartments by region, department, and budget. - **Agencies & Investors:** Track inventory and pricing across popular French areas. - **Market Research:** Compare supply in Dordogne, Brittany, Paris, the Alps, and more. - **Data Analysts:** Export clean structured rows for dashboards and models. - **πŸ€– AI Agents:** Power bots and workflows with filter-based search (no brittle URL crafting). - **πŸ“š RAG Systems:** Feed listing specs and descriptions into retrieval pipelines. - **πŸ”— AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks. ### ✨ Why you'll love this scraper - πŸ”— **Input URL or Filters:** Paste a French-Property.com search URL (`input_url`) if you already filtered in the browser, or use structured filters (better for AI agents). `input_url` always wins when set. - 🎯 **Website-matched filters:** Popular locations, regions, departments, property type, bedroom min/max, price ladder, land size, swimming pool / outbuildings, and sort order. - πŸ“Š **Rich Listings:** Price, habitable & land size, bedrooms/bathrooms, region/department/city, agency, DPE, images, and listing URL. - πŸ” **Pagination:** Collects listings across result pages until `max_properties` is reached. ### πŸ“¦ What's inside the data? For every listing you get: - **Core:** `id`, `url`, `reference`, `transaction`, `property_type`, `title`, `description` - **Pricing & Size:** `price`, `price_label`, `area_m2`, `land_m2`, `bedrooms`, `bathrooms` - **Location:** `city`, `postal_code`, `department`, `region`, `location_full` - **Energy:** `dpe_energy`, `dpe_energy_category`, `dpe_ges`, `dpe_ges_category` - **Agency & Media:** `agency_name`, `image_url`, `images` ### πŸš€ Quick start **Option A β€” Input URL** 1. Open [French-Property.com](https://www.french-property.com/), apply filters in the browser, copy the results URL. 2. Paste it into `input_url`. 3. Set `max_properties` and click **Start**. **Option B β€” Structured filters (better for AI agents)** 1. Leave `input_url` empty. 2. Choose `listing_type`, `property_type`, and a location (`popular_location`, `region`, and/or `department`). Optionally add a `city`. 3. Set bedrooms, price, features if you want, then `max_properties` and click **Start**. Export JSON, CSV, or Excel when done. --- #### Input examples **Filters** ```json { "listing_type": "vente", "property_type": "house", "department": "dordogne", "minimum_bedrooms": "3", "price_min": 100000, "price_max": 400000, "max_properties": 50 } ```` **URL override** ```json { "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house", "max_properties": 50 } ``` **Output example** ```json { "id": "1687-192", "url": "https://www.french-property.com/sale-property/1687-192", "transaction": "vente", "price": 249500, "area_m2": 123, "land_m2": 450, "bedrooms": 4, "bathrooms": 2, "city": "Bouteilles-Saint-SΓ©bastien", "department": "Dordogne (24)", "region": "Aquitaine", "dpe_energy_category": "E", "agency_name": "Wright French Properties", "image_url": "https://cdn4.french-property.com/..." } ``` ### πŸ“‹ Input reference | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `input_url` | string | No | β€” | Optional override. Paste any French-Property.com search URL. When set, **overrides all filters below**. | | `listing_type` | string enum | No | `vente` | `vente` (for sale) or `location` (for rent). | | `property_type` | string enum | No | `house` | `All`, `house`, `apartment`, `business`, `land`. | | `popular_location` | string enum | No | Any | Popular area from the website (34 options). | | `region` | string enum | No | Any | French region (29 options). | | `department` | string enum | No | `dordogne` | French department (96 options). | | `city` | string | No | β€” | Optional city/town (e.g. `Bergerac`, `Nice`). | | `postal_code` | string | No | β€” | Optional postal code. | | `minimum_bedrooms` / `maximum_bedrooms` | string enum | No | Any / Unlimited | Bedroom bounds (same ladder as the site). | | `price_min` / `price_max` | string enum | No | No min/max | Price ladder from €50,000 to €5,000,000. | | `minimum_land_size` / `maximum_land_size` | integer | No | β€” | Land size bounds. | | `land_size_unit` | string enum | No | `mΒ²` | `mΒ²`, `acres`, or `hectares`. | | `swimming_pool` / `outbuildings` | boolean | No | false | Feature filters. | | `sort_by` | string enum | No | Default | Lowest/highest price, most recent, or most land. | | `max_properties` | integer | No | `50` | How many listings to return (`1`–`1000`). | #### Notes - `input_url` always wins over filters when provided. - Location selects match the website lists; use `city` when you need a specific town. - Each run returns at most **`max_properties`** listings. # Actor input Schema ## `input_url` (type: `string`): Optional. Paste any French-Property.com search results URL to override the filters below. Leave empty to use structured filters instead (better for AI agents). ## `listing_type` (type: `string`): Buy (for sale) or rent. Ignored when input\_url is set. ## `property_type` (type: `string`): Property category. Ignored when input\_url is set. ## `popular_location` (type: `string`): Popular area from the website (e.g. Dordogne, Lot & Quercy, French Alps). Ignored when input\_url is set. ## `region` (type: `string`): French region. Ignored when input\_url is set. ## `department` (type: `string`): French department. Ignored when input\_url is set. ## `city` (type: `string`): Optional city or town (e.g. Bergerac, Nice, Paris). Combined with department when possible. Ignored when input\_url is set. ## `postal_code` (type: `string`): Optional postal code (e.g. 24100, 75011). Ignored when input\_url is set. ## `minimum_bedrooms` (type: `string`): Minimum bedrooms. Ignored when input\_url is set. ## `maximum_bedrooms` (type: `string`): Maximum bedrooms. Ignored when input\_url is set. ## `price_min` (type: `string`): Minimum price in euros. Ignored when input\_url is set. ## `price_max` (type: `string`): Maximum price in euros. Ignored when input\_url is set. ## `minimum_land_size` (type: `integer`): Optional minimum land size. Unit is set below. Ignored when input\_url is set. ## `maximum_land_size` (type: `integer`): Optional maximum land size. Unit is set below. Ignored when input\_url is set. ## `land_size_unit` (type: `string`): Unit for land size filters. Ignored when input\_url is set. ## `swimming_pool` (type: `boolean`): Only listings with a swimming pool. Ignored when input\_url is set. ## `outbuildings` (type: `boolean`): Only listings with outbuildings. Ignored when input\_url is set. ## `sort_by` (type: `string`): Result order. Ignored when input\_url is set. ## `max_properties` (type: `integer`): How many listings to return (1–1000). ## Actor input object example ```json { "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house", "listing_type": "vente", "property_type": "house", "popular_location": "", "region": "", "department": "dordogne", "minimum_bedrooms": "", "maximum_bedrooms": "", "price_min": "", "price_max": "", "land_size_unit": "mΒ²", "swimming_pool": false, "outbuildings": false, "sort_by": "", "max_properties": 50 } ``` # Actor output Schema ## `overview` (type: `string`): Table view using the dataset 'overview' view. ## `results` (type: `string`): All items from the default dataset without view transformation. # 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 = { "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house" }; // Run the Actor and wait for it to finish const run = await client.actor("dadhalfdev/french-property-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house" } # Run the Actor and wait for it to finish run = client.actor("dadhalfdev/french-property-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house" }' | apify call dadhalfdev/french-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/french-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French-Property.com Scraper", "description": "Scrape French property listings from French-Property.com. Use filters (sale/rent, type, location, bedrooms, price) or paste a search URL β€” the URL wins when set. Returns price, size, bedrooms, location, agency, DPE, and photos.", "version": "0.1", "x-build-id": "LHakodFqSyTHwjAcK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~french-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-french-property-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dadhalfdev~french-property-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-french-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dadhalfdev~french-property-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-french-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "input_url": { "title": "Input URL", "type": "string", "description": "Optional. Paste any French-Property.com search results URL to override the filters below. Leave empty to use structured filters instead (better for AI agents)." }, "listing_type": { "title": "Listing type", "enum": [ "vente", "location" ], "type": "string", "description": "Buy (for sale) or rent. Ignored when input_url is set.", "default": "vente" }, "property_type": { "title": "Property type", "enum": [ "", "house", "apartment", "business", "land" ], "type": "string", "description": "Property category. Ignored when input_url is set.", "default": "house" }, "popular_location": { "title": "Popular location", "enum": [ "", "atlantic-coast", "brittany-and-normandy", "burgundy-and-rhone", "central-france", "cote-d-azur", "dordogne-lot-and-quercy", "eastern-france", "french-alps", "french-pyrenees", "french-riviera", "gascony", "languedoc", "limousin-and-auvergne", "loire-valley", "massif-central", "mediterranean-coast", "normandy-and-mayenne", "north-east-france", "north-west-france", "northern-alps-ski", "northern-france", "poitou-charentes-and-vendee", "provence", "pyrenees-ski", "perigord", "quercy", "roussillon", "south-east-france", "south-of-france", "south-west-france", "southern-alps-ski", "tarn-and-cevennes", "ile-d-oleron", "ile-de-re" ], "type": "string", "description": "Popular area from the website (e.g. Dordogne, Lot & Quercy, French Alps). Ignored when input_url is set.", "default": "" }, "region": { "title": "Region", "enum": [ "", "alsace", "aquitaine", "auvergne", "auvergne-rhone-alpes", "brittany", "burgundy", "burgundy-franche-comte", "centre-val-de-loire", "champagne-ardenne", "corsica", "franche-comte", "grand-est", "hauts-de-france", "languedoc-roussillon", "limousin", "lorraine", "lower-normandy", "midi-pyrenees", "nord-pas-de-calais", "normandy", "nouvelle-aquitaine", "occitanie", "paris-ile-de-france", "pays-de-la-loire", "picardy", "poitou-charentes", "provence-alpes-cote-d-azur", "rhone-alpes", "upper-normandy" ], "type": "string", "description": "French region. Ignored when input_url is set.", "default": "" }, "department": { "title": "Department", "enum": [ "", "ain", "aisne", "allier", "alpes-de-haute-provence", "alpes-maritimes", "ardennes", "ardeche", "ariege", "aube", "aude", "aveyron", "bas-rhin", "bouches-du-rhone", "calvados", "cantal", "charente", "charente-maritime", "cher", "correze", "corse-du-sud", "creuse", "cote-d-or", "cotes-d-armor", "deux-sevres", "dordogne", "doubs", "drome", "essonne", "eure", "eure-et-loir", "finistere", "gard", "gers", "gironde", "haut-rhin", "haute-corse", "haute-garonne", "haute-loire", "haute-marne", "haute-savoie", "haute-saone", "haute-vienne", "hautes-alpes", "hautes-pyrenees", "hauts-de-seine", "herault", "ille-et-vilaine", "indre", "indre-et-loire", "isere", "jura", "landes", "loir-et-cher", "loire", "loire-atlantique", "loiret", "lot", "lot-et-garonne", "lozere", "maine-et-loire", "manche", "marne", "mayenne", "meurthe-et-moselle", "meuse", "morbihan", "moselle", "nievre", "nord", "oise", "orne", "paris", "pas-de-calais", "puy-de-dome", "pyrenees-atlantiques", "pyrenees-orientales", "rhone", "sarthe", "savoie", "saone-et-loire", "seine-et-marne", "seine-maritime", "seine-saint-denis", "somme", "tarn", "tarn-et-garonne", "territoire-de-belfort", "val-d-oise", "val-de-marne", "var", "vaucluse", "vendee", "vienne", "vosges", "yonne", "yvelines" ], "type": "string", "description": "French department. Ignored when input_url is set.", "default": "dordogne" }, "city": { "title": "City / town", "type": "string", "description": "Optional city or town (e.g. Bergerac, Nice, Paris). Combined with department when possible. Ignored when input_url is set." }, "postal_code": { "title": "Postal code", "type": "string", "description": "Optional postal code (e.g. 24100, 75011). Ignored when input_url is set." }, "minimum_bedrooms": { "title": "Minimum bedrooms", "enum": [ "", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" ], "type": "string", "description": "Minimum bedrooms. Ignored when input_url is set.", "default": "" }, "maximum_bedrooms": { "title": "Maximum bedrooms", "enum": [ "", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10" ], "type": "string", "description": "Maximum bedrooms. Ignored when input_url is set.", "default": "" }, "price_min": { "title": "Minimum price (€)", "enum": [ "", "50000", "75000", "100000", "150000", "200000", "250000", "300000", "400000", "500000", "600000", "750000", "1000000", "1250000", "1500000", "1750000", "2000000", "3000000", "4000000", "5000000" ], "type": "string", "description": "Minimum price in euros. Ignored when input_url is set.", "default": "" }, "price_max": { "title": "Maximum price (€)", "enum": [ "", "50000", "75000", "100000", "150000", "200000", "250000", "300000", "400000", "500000", "600000", "750000", "1000000", "1250000", "1500000", "1750000", "2000000", "3000000", "4000000", "5000000" ], "type": "string", "description": "Maximum price in euros. Ignored when input_url is set.", "default": "" }, "minimum_land_size": { "title": "Minimum land size", "minimum": 0, "type": "integer", "description": "Optional minimum land size. Unit is set below. Ignored when input_url is set." }, "maximum_land_size": { "title": "Maximum land size", "minimum": 0, "type": "integer", "description": "Optional maximum land size. Unit is set below. Ignored when input_url is set." }, "land_size_unit": { "title": "Land size unit", "enum": [ "mΒ²", "ac", "ha" ], "type": "string", "description": "Unit for land size filters. Ignored when input_url is set.", "default": "mΒ²" }, "swimming_pool": { "title": "Swimming pool", "type": "boolean", "description": "Only listings with a swimming pool. Ignored when input_url is set.", "default": false }, "outbuildings": { "title": "Outbuildings", "type": "boolean", "description": "Only listings with outbuildings. Ignored when input_url is set.", "default": false }, "sort_by": { "title": "Sort by", "enum": [ "", "price_asc", "price_desc", "date_desc", "land_size_desc" ], "type": "string", "description": "Result order. Ignored when input_url is set.", "default": "" }, "max_properties": { "title": "Maximum number of listings", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many listings to return (1–1000).", "default": 50 } } }, "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 } } } } } } } } } } ```