# Uber Eats Scraper | With Menu & Numbers | $3 / 1k (`fatihtahta/uber-eats-menu-scraper`) Actor Scrape restaurants and groceries from Uber Eats including phone numbers, menu, location, cuisines, and more. export-ready for price and menu tracking, market research, competitor analysis, and lead generation. $3 per 1000 listings. - **URL**: https://apify.com/fatihtahta/uber-eats-menu-scraper.md - **Developed by:** [Fatih Tahta](https://apify.com/fatihtahta) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 28 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $2.99 / 1,000 outputrecords This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Uber Eats Scraper | With Menu & Numbers | $3 / 1k ### Overview **Uber Eats Scraper | With Menu & Numbers | $3 / 1k** collects public restaurant details and full menu data directly from ubereats.com. Capture profiles, contact info, price ranges, cuisines, opening hours, ratings, and every menu item with descriptions and prices. The actor keeps runs consistent and automated so you can gather reliable datasets without manual browsing. ### Why Use This Actor * **Market and competitor research:** Benchmark restaurants, cuisines, and price points in any location. * **Lead generation and outreach:** Build enriched lists of restaurants with contact details and coordinates. * **Menu and product tracking:** Monitor menu changes, pricing, and availability across time. * **Directory building:** Populate apps or internal tools with structured restaurant and menu inventories. * **Workflow-ready automation:** Schedule recurring runs, export results, and keep datasets fresh with minimal effort. ### Input Parameters | Parameter | Type | Description | Default | | --- | --- | --- | --- | | `startUrls` | array of strings | One or more Uber Eats search pages, restaurant profiles, or direct menu URLs to scrape. | Prefilled example provided | | `limit` | integer | Stop the run after this number of restaurants or menu items has been saved in total. Minimum 10. | `50000` | | `proxyConfiguration` | object | Proxy settings to keep the scraper reliable. Supports Apify Proxy or custom proxies. | Apify Proxy with `RESIDENTIAL` group | ### Example Input ```json { "startUrls": [ "https://www.ubereats.com/search?ps=1&q=burger&sc=SEARCH_BAR&vertical=ALL" ], "limit": 1000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Example Output Each dataset item represents one restaurant with its metadata and complete menu. ```json { "id": "/REDACTED", "url": "https://www.ubereats.com/store/REDACTED", "title": "REDACTED", "priceRange": "$", "cuisines": ["Breakfast and Brunch", "Bagels", "Sandwiches", "Kosher"], "location": "REDACTED", "telephone": "+REDACTED", "geo": { "lat": 40.73232, "lng": -73.98208 }, "images": ["https://tb-static.uber.com/prod/image-proc/processed_images/a383b7d0ba1babc8d708ac0b68c8300b/fa23f51b9c499b035a68831c96e1821e.jpeg"], "ratingValue": 2.5, "reviewCount": "18", "openingHoursSpecification": [ { "@type": "OpeningHoursSpecification", "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"], "opens": "5:0", "closes": "17:0" } ], "menuItems": [ { "title": "BOGO *SPECIAL* Bagel with Butter", "description": "Warm, golden bread with a crisp exterior and soft center, enriched by the simple richness of creamy butter.", "price": "8.87", "currency": "USD", "section": "Get Two For The Price of One" }, { "title": "Bagel with Plain Cream Cheese", "description": "Smooth, velvety spread layered generously over a fresh-baked base creates a perfect balance of tangy and rich.", "price": "6.40", "currency": "USD", "section": "Bagel with a Schmear" } ] } ``` - `id`, `url`, `title` — Restaurant identifier, link, and display name. - `priceRange`, `cuisines`, `ratingValue`, `reviewCount` — Positioning and social proof details. - `location`, `telephone`, `geo`, `images` — Contact, coordinates, and imagery for mapping or outreach. - `openingHoursSpecification` — Daily opening and closing times. - `menuItems` — Each menu entry with section, description, price, and currency. ### Notes & Limitations - Use the actor responsibly and only for lawful purposes. Review and respect Uber Eats’ terms of service and applicable policies before scraping or using the data. - Start with smaller limits when testing new locations or URLs to validate the scope you need. ### Support Questions or custom needs? Open an issue on the **Issues** tab of the actor page in Apify Console and it will be resolved around the clock. Happy Scraping, - Fatih # Actor input Schema ## `startUrls` (type: `array`): Paste one or more Uber Eats search pages, restaurant profiles, or direct menu URLs to scrape. ## `limit` (type: `integer`): Stop the run after this number of restaurants or menu items has been saved in total. ## `proxyConfiguration` (type: `object`): Use Apify proxy or your own proxy settings to keep the scraper reliable. ## Actor input object example ```json { "startUrls": [ "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL", "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName=" ], "limit": 50000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL", "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName=" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fatihtahta/uber-eats-menu-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 = { "startUrls": [ "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL", "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName=", ] } # Run the Actor and wait for it to finish run = client.actor("fatihtahta/uber-eats-menu-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 '{ "startUrls": [ "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL", "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName=" ] }' | apify call fatihtahta/uber-eats-menu-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihtahta/uber-eats-menu-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Uber Eats Scraper | With Menu & Numbers | $3 / 1k", "description": "Scrape restaurants and groceries from Uber Eats including phone numbers, menu, location, cuisines, and more. export-ready for price and menu tracking, market research, competitor analysis, and lead generation. $3 per 1000 listings.", "version": "0.0", "x-build-id": "FeBUgFNzDA5N4Tv9J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihtahta~uber-eats-menu-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihtahta-uber-eats-menu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fatihtahta~uber-eats-menu-scraper/runs": { "post": { "operationId": "runs-sync-fatihtahta-uber-eats-menu-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/fatihtahta~uber-eats-menu-scraper/run-sync": { "post": { "operationId": "run-sync-fatihtahta-uber-eats-menu-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": { "startUrls": { "title": "Enter Uber Eats search page, or individual restaurant page URLs to scrape", "type": "array", "description": "Paste one or more Uber Eats search pages, restaurant profiles, or direct menu URLs to scrape.", "items": { "type": "string" } }, "limit": { "title": "Maximum records to collect", "minimum": 10, "type": "integer", "description": "Stop the run after this number of restaurants or menu items has been saved in total.", "default": 50000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify proxy or your own proxy settings to keep the scraper reliable.", "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 } } } } } } } } } } ```