# TheMealDB Recipes Scraper (`parseforge/themealdb-recipes-scraper`) Actor Pull recipes from TheMealDB: dish name, category, cuisine, full ingredients with measures, step-by-step instructions, image, video, source URL, and tags. Search by name, browse by category/cuisine/ingredient, get random meals, or look up by ID. No key needed. - **URL**: https://apify.com/parseforge/themealdb-recipes-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Education, Other, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 result items 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 🍳 Meal Recipes Scraper - Categories, Ingredients, Areas > 🚀 **Pull meal recipes with ingredients, instructions, image, video, area, category, and tags. 6 search modes for any cuisine.** > 🕒 **Last updated:** 2026-05-08 · **📊 17 fields** per record · **14 categories** · **195 areas** · ingredients, measures, instructions, image, YouTube video · search by name, ingredient, area, category, or random The **Meal Recipes Scraper** pulls full recipes from TheMealDB open recipe dataset. Output includes the meal name and alternate name, category, area / cuisine, country, tags, image URL, full step-by-step instructions, source URL, YouTube video URL, image source, Creative Commons confirmation, and a structured ingredients array (up to 20 ingredient + measure pairs). Six search modes in one Actor: free-text name search, browse by category (Beef, Chicken, Dessert, Lamb, Pasta, Pork, Seafood, Vegan, etc), browse by area / cuisine (Italian, Mexican, Thai, Japanese...), browse by ingredient, random meal, and direct lookup by ID. Run a single category to scrape every dessert in the database, or pull random meals for daily inspiration. | 🎯 Target Audience | 💡 Primary Use Cases | |---|---| | Recipe app builders, food bloggers, meal-planning startups, cooking-content marketers, ML datasets for food, hobbyist cooks | Recipe app catalogs, meal-planning tools, ingredient-driven recommendation, what-to-cook bots, food blogs, cooking-vocabulary training | --- ### 📋 What the Meal Recipes Scraper - Categories, Ingredients, Areas does Five filtering workflows in a single run: - 🔍 **Name search.** Free-text recipe search across the dataset. - 🥩 **Filter by category.** 14 categories: Beef, Chicken, Dessert, Lamb, Pasta, Pork, Seafood, Vegan, Vegetarian, Side, Starter, Breakfast, Goat, Miscellaneous. - 🌎 **Filter by area.** 195 cuisines / countries: Italian, Mexican, Japanese, Thai, Indian, French, etc. - 🥬 **Filter by ingredient.** Find every recipe using chicken, garlic, parmesan, etc. - 🎲 **Random + lookup.** Pull a random meal or fetch by ID directly. > 💡 **Why it matters:** clean, server-side filtering and fresh data on every run. --- ### 🎬 Full Demo _🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset._ --- ### ⚙️ Input
InputTypeDefaultBehavior
maxItemsinteger10Records to return. Free plan caps at 10, paid plan up to 1,000,000.
modestring"byCategory"search, byCategory, byArea, byIngredient, random, byId.
querystring"Chicken"Search term or filter value (slug for byCategory / byArea / byIngredient).
**Example: every chicken recipe.** ```json { "maxItems": 100, "mode": "byCategory", "query": "Chicken" } ```` **Example: Italian cuisine.** ```json { "maxItems": 50, "mode": "byArea", "query": "Italian" } ``` *** ### 📊 Output Each record contains **17 fields**. Download as CSV, Excel, JSON, or XML. #### 🧾 Schema | Field | Type | Example | |---|---|---| | 🖼️ `thumbnail` | string | `"https://www.themealdb.com/images/media/meals/wuxrtu1483564410.jpg"` | | 🆔 `mealId` | number | `52772` | | 📛 `name` | string | `"Teriyaki Chicken Casserole"` | | 🏷️ `category` | string | `"Chicken"` | | 🌎 `area` | string | `"Japanese"` | | 🏷️ `tags` | array | `["Meat","Casserole"]` | | 📋 `instructions` | string | `"Preheat oven to 350° F..."` | | 🥬 `ingredients` | array of objects | `[{"ingredient":"chicken","measure":"3/4 cup"},...]` | | 📝 `ingredientsText` | string | `"3/4 cup soy sauce, 1/2 cup water..."` | | 🔢 `ingredientCount` | number | `11` | | 📺 `youtubeUrl` | string | `"https://www.youtube.com/watch?v=4aZr5hZXP_s"` | | 🌐 `sourceUrl` | string | `"https://www.example.com/recipe"` | | 🌐 `mealdbUrl` | string | `"https://www.themealdb.com/meal/52772"` | #### 📦 Sample records
🍳 Teriyaki Chicken Casserole ```json {"mealId":52772,"name":"Teriyaki Chicken Casserole","category":"Chicken","area":"Japanese","ingredientCount":11,"youtubeUrl":"https://www.youtube.com/watch?v=4aZr5hZXP_s"} ```
🍝 Spaghetti Bolognese ```json {"name":"Spaghetti Bolognese","category":"Beef","area":"Italian","ingredientCount":10,"tags":["Pasta","Meat"]} ```
*** ### ✨ Why choose this Actor | | Capability | |---|---| | 🌍 | **Global cuisine coverage.** 195 areas + 14 categories spanning every major food tradition. | | 🥬 | **Structured ingredients.** Up to 20 ingredient + measure pairs as a structured array, not a blob of text. | | 📺 | **Video walkthroughs.** YouTube URL per recipe (when available). | | 🆓 | **No API key.** Open community recipe dataset. | | ⚡ | **Fast.** Hundreds of recipes per minute. | *** ### 📈 How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **⭐ This Actor** | $5 free credit | **Open recipes** | Live per run | 6 modes | ⚡ 2 min | | Edamam (paid) | $$/month | Larger | Live | Yes | 🐢 Account | | Spoonacular (paid) | $$/month | Larger | Live | Yes | 🐢 Account | | Recipe-site scraping | Free | All | Live | DIY | 🐢 Days | *** ### 🚀 How to use 1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Find the Meal Recipes Scraper - Categories, Ingredients, Areas on the Apify Store. 3. 🎯 **Set input.** Pick filters and `maxItems`. 4. 🚀 **Run it.** Click **Start**. 5. 📥 **Download.** Grab results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to dataset: **3-5 minutes.** No coding required. *** ### 💼 Business use cases
#### 📱 Recipe Apps + Sites - Build a recipe catalog - Meal-planning app data - Ingredient-driven recommendation - What-to-cook chatbots #### 🤖 ML + AI - Fine-tune cooking-instruction models - Train ingredient embeddings - Build food-classification datasets - Vocabulary corpora for cooking
#### 📰 Food Content - Blog post bases - Newsletter recipes - Meal-prep social posts - Cooking-tutorial scripts #### 🎓 Education - Culinary-school course materials - Nutrition-class examples - Language-learning food vocabulary - Hobbyist cooking sites
*** ### 🔌 Automating Meal Recipes Scraper - Categories, Ingredients, Areas Control the scraper programmatically: - 🟢 **Node.js.** Install the `apify-client` NPM package. - 🐍 **Python.** Use the `apify-client` PyPI package. - 📚 See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. The [Apify Schedules feature](https://docs.apify.com/platform/schedules) lets you trigger this Actor on any cron interval. *** ### 🌟 Beyond business use cases Data like this powers more than commercial workflows.
#### 🎓 Research and academia - Food anthropology datasets - Cuisine-temporal studies - Nutrition curriculum sourcing - Reproducible recipe corpora #### 🎨 Personal and creative - Personal recipe boxes - Cooking-blog backbones - Side projects with food data - Family-recipe digitalization
#### 🤝 Non-profit and civic - Community-cookbook projects - Food-bank recipe sharing - Heritage-cuisine preservation - Free cooking-education content #### 🧪 Experimentation - Train recipe-generation models - Prototype meal-planner apps - Build ingredient-graph systems - Test pantry-based search
*** ### 🤖 Ask an AI assistant about this scraper Open a ready-to-send prompt in the AI of your choice: - 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20Meal%20Recipes%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20Meal%20Recipes%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20Meal%20Recipes%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20Meal%20Recipes%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### ❓ Frequently Asked Questions #### 🧩 How does it work? Pick a mode (search, byCategory, byArea, byIngredient, random, or byId) and provide the relevant value. The Actor queries TheMealDB and returns each meal record. #### 📊 How many fields per record? 17, including name, category, area, tags, image URL, YouTube URL, full instructions, structured ingredients, ingredient count, and source URL. #### 🥬 What does the ingredients array look like? Up to 20 ingredient + measure pairs (e.g. `{ingredient: 'chicken', measure: '3/4 cup'}`). Easier to parse than the original 40-field format. #### 🌎 How many cuisines are covered? 195 areas based on TheMealDB's geography list. Note: some areas have very few recipes. #### 🏷️ How many categories? 14: Beef, Chicken, Dessert, Lamb, Pasta, Pork, Seafood, Vegan, Vegetarian, Side, Starter, Breakfast, Goat, Miscellaneous. #### 📺 Are videos always included? No. YouTube URL is included when the recipe has a paired video, which is most but not all. #### 🆓 Do I need an API key? No. TheMealDB is open. #### 🔁 Can I schedule runs? Yes. Apify Schedules supports any cron interval. #### ⚖️ Is this data free? Yes. TheMealDB publishes recipes under Creative Commons. #### 💳 Do I need a paid Apify plan? No. The free plan covers preview runs (10 records). A paid plan unlocks higher item counts. *** ### 🔌 Integrate with any app Meal Recipes Scraper - Categories, Ingredients, Areas connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe data into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets to Sheets *** ### 🔗 Recommended Actors - [**🍹 Cocktail Drinks**](https://apify.com/parseforge/thecocktaildb-drinks-scraper) - Cocktail recipes with ingredients, glass, IBA, image - [**🧠 Open Trivia DB Questions**](https://apify.com/parseforge/opentdb-trivia-scraper) - Trivia questions across 24 categories with answers - [**🌍 Wikivoyage Travel Articles**](https://apify.com/parseforge/wikivoyage-articles-scraper) - Wikivoyage city and country articles with image, geo - [**📚 Wikipedia Article Summary**](https://apify.com/parseforge/wikipedia-rest-summaries-scraper) - Pull Wikipedia summaries with thumbnail, extract, geo and Wikidata link - [**🌍 REST Countries Reference Data**](https://apify.com/parseforge/rest-countries-scraper) - Every country with flag, capital, currency, languages > 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **🆘 Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. *** > **⚠️ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TheMealDB, its maintainers, or any individual recipe author. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `mode` (type: `string`): search by name, byCategory/byArea/byIngredient, random, or list (categories/areas/ingredients). ## `query` (type: `string`): Search term (search mode) or filter value (byCategory/byArea/byIngredient). Examples: `Arrabiata` (search), `Seafood` (category), `Italian` (area), `chicken_breast` (ingredient). ## Actor input object example ```json { "maxItems": 10, "mode": "byCategory", "query": "Chicken" } ``` # 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 = { "maxItems": 10, "mode": "byCategory", "query": "Chicken" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/themealdb-recipes-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 = { "maxItems": 10, "mode": "byCategory", "query": "Chicken", } # Run the Actor and wait for it to finish run = client.actor("parseforge/themealdb-recipes-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 '{ "maxItems": 10, "mode": "byCategory", "query": "Chicken" }' | apify call parseforge/themealdb-recipes-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/themealdb-recipes-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TheMealDB Recipes Scraper", "description": "Pull recipes from TheMealDB: dish name, category, cuisine, full ingredients with measures, step-by-step instructions, image, video, source URL, and tags. Search by name, browse by category/cuisine/ingredient, get random meals, or look up by ID. No key needed.", "version": "1.0", "x-build-id": "Q1HBGLR0Ug9g71USa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~themealdb-recipes-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-themealdb-recipes-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~themealdb-recipes-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-themealdb-recipes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~themealdb-recipes-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-themealdb-recipes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "mode": { "title": "Mode", "enum": [ "search", "byCategory", "byArea", "byIngredient", "random", "allMeals", "categoriesList", "areasList", "ingredientsList" ], "type": "string", "description": "search by name, byCategory/byArea/byIngredient, random, or list (categories/areas/ingredients).", "default": "search" }, "query": { "title": "Query value", "type": "string", "description": "Search term (search mode) or filter value (byCategory/byArea/byIngredient). Examples: `Arrabiata` (search), `Seafood` (category), `Italian` (area), `chicken_breast` (ingredient)." } } }, "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 } } } } } } } } } } ```