# Uber Eats Full Menu & Reviews Scraper (`memo23/uber-eats-scraper`) Actor Uber Eats stores β†’ JSON per URL: menuSections & menuItems (prices, currency, images; optional add-on trees), ratingValue, reviewCount, reviewSamples, address, phone, hours, isOpen/isOrderable, cuisines, analytics, hero images, SEO title/description, URLs, scrapedAt. - **URL**: https://apify.com/memo23/uber-eats-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 15 total users, 14 monthly users, 93.2% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.50 / 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. 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 ### Overview Extract structured restaurant and menu data from **Uber Eats** store pages: store identity, SEO metadata, ratings, address, hours, cuisines, full menu (JSON-LD sections and a flattened item list), optional customization trees, review samples, and delivery hints. Each input URL produces one rich dataset item suitable for price monitoring, menu syndication, or market research. The **Uber Eats Store Scraper** is an Apify actor that loads public Uber Eats **store detail** URLs, parses embedded application state and JSON-LD, and returns a single JSON object per store with menu items, images, and analytics-style rollups. With this scraper, you get **complete menu coverage** where exposed in the page payload (sections, item names, descriptions, prices, images), plus **store-level context** such as open/closed status, rating summary, phone number, and formatted address. **Key metrics** include per-item prices, aggregate menu analytics (min/max/average price, image coverage, customization stats), and review text samples hydrated from the store page state. The actor is built for **reliable high-concurrency fetching** using Crawlee with an HTTP client tuned for real browser fingerprints, with proxy support for stable runs. Whether you are aggregating menus across brands, comparing pricing by location, or building a food-data product, this actor returns consistent JSON you can pipe into databases or spreadsheets. --- ### Features - **Store page extraction**: - Accepts standard Uber Eats store URLs (with locale path or `/store/{slug}/{id}` form) - Resolves canonical URLs, titles, descriptions, and hero imagery - **Comprehensive menu data**: - **menuSections**: Schema.org `Menu`/`MenuSection`/`MenuItem` structure from JSON-LD where present - **menuItems**: Flattened list with section names, prices, currency, images, UUIDs, and (optionally) full customization groups/options - **Ratings, reviews, and trust signals**: - **ratingValue** and **reviewCount** from structured data or embedded state - **reviewSamples**: reviewer-visible comments and dates from embedded `storeReviews` - **Location & operations**: - Postal address object and **addressText**, **phoneNumber**, **hours**, **isOpen** / **isOrderable**, **closedMessage** - **cuisineList**, **currencyCode**, **priceBucket**, FAQ count, ETA range when detectable - **Analytics & diagnostics**: - **analytics** object summarizing section count, item counts, price and image coverage, customization coverage - HTTP **statusCode**, **contentType**, **bodyLength**, optional saved **htmlFile** reference, **scrapedAt** timestamp - **Efficient crawling**: - Cheerio-based parsing with Impit HTTP client (Firefox fingerprint, HTTP/3) - Configurable concurrency, retries, and Apify proxy integration --- ### How to Use 1. **Set Up**: Ensure you have an Apify account and access to the Apify platform. 2. **Provide Input Data**: Add one or more **Uber Eats store URLs** to `startUrls`. 3. **Adjust Scraper Settings**: Configure settings like `maxItems`, `maxConcurrency`, and `maxRequestRetries` to optimize performance. 4. **Run the Scraper**: Execute the actor on the Apify platform. 5. **Download Results**: Export the scraped data in your preferred format (JSON, CSV, Excel). #### Usage Limitations **Free Users**: Non-paying users are limited to scraping **50 listings** per run. To access unlimited scraping and all features, please upgrade to a paid Apify account. **Paid Users**: Enjoy unlimited scraping, multiple start URLs, and full access to all scraper features. --- ### Input Configuration To use the scraper, configure the input parameters as follows: ```json { "startUrls": [ { "url": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A" }, { "url": "https://www.ubereats.com/en-US/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A" } ], "maxItems": 300, "maxConcurrency": 100, "minConcurrency": 1, "maxRequestRetries": 100, "includeItemCustomizations": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` #### Input Fields Explanation - **Start URLs** (`startUrls`): Public **Uber Eats restaurant store** URLs. Supported shapes include: - `https://www.ubereats.com/store/{store-slug}/{store-id}` - `https://www.ubereats.com/{locale}/store/{store-slug}/{store-id}` (locale prefix, e.g. `en-US`) - **Max Items** (`maxItems`): Maximum number of stores to process per run (one dataset item per successful store page). Default is `100`. - **Max Concurrency** (`maxConcurrency`): Maximum number of pages processed simultaneously. Default is `100`. - **Min Concurrency** (`minConcurrency`): Minimum number of pages processed simultaneously. Default is `1`. - **Max Request Retries** (`maxRequestRetries`): Number of retries for failed requests. Default is `100`. - **Include item customizations** (`includeItemCustomizations`): When `true`, enriches `menuItems` with full customization group/option payloads (much larger output). - **Proxy Configuration** (`proxy`): Settings for reliable and anonymous scraping. Supports custom proxy URLs. *** ### Output Structure The scraper produces structured JSON output: **one object per store URL** with nested menu data, metadata, and optional debug fields. #### Sample Data *The record below is the **first item** from `data.json` (Jersey Mike's Subs example). The full export is very large; for readability this sample keeps all scalar fields and analytics as in the source object, shows the **first four** `heroImageUrls`, the **first two** `menuSections` with **two** dishes each, and **three** `menuItems` chosen from items without heavy customization payloads. Counts such as `menuItemCount` and `analytics` reflect the full scrapeβ€”not the shortened arrays.* ```json { "source": "ubereats_detail_html", "url": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=", "restaurantUrl": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A", "shopName": "jersey-mikes-subs-creekside", "shopId": "B5-ImzTAQf2En_RCiqU62A", "message": "success: menu found.", "hasMenu": true, "menuType": "Menu", "storeId": "B5-ImzTAQf2En_RCiqU62A", "storeUuid": "079f889b-34c0-41fd-849f-f4428aa53ad8", "storeSlug": "jersey-mikes-subs-creekside", "citySlug": "houston", "locale": null, "htmlLocale": "en-US", "originalUrl": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=", "canonicalUrl": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A", "loadedUrl": "https://www.ubereats.com/store/jersey-mikes-subs-creekside/B5-ImzTAQf2En_RCiqU62A?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=", "title": "Jersey Mike's Subs (Creekside)", "seoTitle": "Order Jersey Mike's Subs (Creekside) - Menu & Prices - Houston Delivery | Uber Eats", "description": "Use your Uber account to order delivery from Jersey Mike's Subs (Creekside) in Houston. Browse the menu, view popular items, and track your order.", "image": "https://tb-static.uber.com/prod/image-proc/processed_images/dc10f9e54832652cfaea6214699a22b8/19ec62ba51fde35ba0aff5b84321c5af.jpeg", "heroImageUrls": [ "https://tb-static.uber.com/prod/image-proc/processed_images/dc10f9e54832652cfaea6214699a22b8/19ec62ba51fde35ba0aff5b84321c5af.jpeg", "https://tb-static.uber.com/prod/image-proc/processed_images/dc10f9e54832652cfaea6214699a22b8/c67d558c633281f9c71fc6a90ef470ae.jpeg", "https://tb-static.uber.com/prod/image-proc/processed_images/dc10f9e54832652cfaea6214699a22b8/8681e511c0910e0052cb155c50f01f89.jpeg", "https://tb-static.uber.com/prod/image-proc/processed_images/dc10f9e54832652cfaea6214699a22b8/6ea4f72e303000fbf403bbb36f971f85.jpeg" ], "ratingValue": 4.9, "reviewCount": 1000, "phoneNumber": "+13468085967", "address": { "@type": "PostalAddress", "addressLocality": "Spring", "addressRegion": "TX", "postalCode": "77389", "addressCountry": "US", "streetAddress": "25640 Kuykendahl Rd" }, "addressText": "25640 Kuykendahl Rd, Spring, TX, 77389, US", "pllStatus": "200", "faqCount": 8, "currencyCode": "USD", "priceBucket": "$", "cuisineList": [ "Sandwich", "American", "Bar Food" ], "isOrderable": true, "isOpen": true, "closedMessage": "", "hours": [ { "dayRange": "Every Day", "sectionHours": [ { "startTime": 600, "endTime": 1230, "sectionTitle": "" } ] } ], "menuSections": [ { "@type": "MenuSection", "name": "Free with $15 purchase", "hasMenuItem": [ { "@type": "MenuItem", "name": "#7 Turkey and Provolone", "description": "Provolone and Turkey. Served Mike's Way with onions, lettuce, tomato, vinegar, oil, oregano, and salt.", "offers": { "@type": "Offer", "price": "11.94", "priceCurrency": "USD" }, "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/e092aa3249393c24f6edf40d7ca2af39/c67fc65e9b4e16a553eb7574fba090f1.jpeg" }, { "@type": "MenuItem", "name": "Mike's Hot Italian", "description": "Ham, salami & pepperoni with melted provolone cheese. Topped with grilled onions, lettuce, tomato and Hot Chopped Pepper Relish.", "offers": { "@type": "Offer", "price": "10.73", "priceCurrency": "USD" }, "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/56eae964cde0acab6c6fc55337064832/c67fc65e9b4e16a553eb7574fba090f1.jpeg" } ] }, { "@type": "MenuSection", "name": "Cold Subs", "hasMenuItem": [ { "@type": "MenuItem", "name": "#7 Turkey and Provolone", "description": "Provolone and Turkey. Served Mike's Way with onions, lettuce, tomato, vinegar, oil, oregano, and salt.", "offers": { "@type": "Offer", "price": "11.94", "priceCurrency": "USD" }, "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/e092aa3249393c24f6edf40d7ca2af39/c67fc65e9b4e16a553eb7574fba090f1.jpeg" }, { "@type": "MenuItem", "name": "#13 The Original Italian", "description": "Provolone, ham, prosciuttini, cappacuolo, salami, and pepperoni. Served Mike's Way with onions, lettuce, tomato, vinegar, oil, oregano, and salt.", "offers": { "@type": "Offer", "price": "13.13", "priceCurrency": "USD" }, "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/209a01090468cd8010e498c5183faea7/c67fc65e9b4e16a553eb7574fba090f1.jpeg" } ] } ], "menuSectionCount": 5, "menuSubsectionCount": 3, "menuItemCount": 39, "menuItems": [ { "name": "#31 California Chicken Cheese Steak", "description": "Lettuce, tomato, mayo, and white American cheese (Not available in all locations).", "section": "Hot Subs", "price": 12.84, "currency": "USD", "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/d206b0e4d9dfb622a47210018c48e300/c67fc65e9b4e16a553eb7574fba090f1.jpeg", "hasImage": true }, { "name": "Chips", "description": "", "section": "Sides, Drinks, & Desserts", "price": 2.34, "currency": "USD", "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/8e6b2d2fb9564795b2c343c185311f5e/c67fc65e9b4e16a553eb7574fba090f1.jpeg", "hasImage": true }, { "name": "Cookie", "description": "Fresh-baked and delicious.", "section": "Sides, Drinks, & Desserts", "price": 1.8, "currency": "USD", "imageUrl": "https://tb-static.uber.com/prod/image-proc/processed_images/79b1243942eefeb750018d1cae8f654c/c67fc65e9b4e16a553eb7574fba090f1.jpeg", "hasImage": true } ], "analytics": { "totalSections": 5, "totalItems": 39, "itemsWithPrices": 39, "itemsWithoutPrices": 0, "minPrice": 1.8, "maxPrice": 13.86, "averagePrice": 10.22, "itemsWithImages": 39, "itemsWithoutImages": 0, "imageCoverage": 100, "priceCoverage": 100, "itemsWithCustomizations": 31, "itemsWithoutCustomizations": 8, "customizationCoverage": 79, "totalCustomizationGroups": 31, "totalCustomizationOptions": 2542 }, "reviewSamples": [ { "eaterName": "Pamela G.", "reviewText": "The sandwich is just awesome", "formattedDate": "08/14/24", "createdAt": "2024-08-14T00:00:00" }, { "eaterName": "Michael M.", "reviewText": "Always good", "formattedDate": "05/13/24", "createdAt": "2024-05-13T00:00:00" }, { "eaterName": "Chase H.", "reviewText": "#13 is the best", "formattedDate": "02/27/24", "createdAt": "2024-02-27T00:00:00" }, { "eaterName": "pamula S.", "reviewText": "Great sandwiches", "formattedDate": "02/02/24", "createdAt": "2024-02-02T00:00:00" }, { "eaterName": "Cody P.", "reviewText": "Delicious!", "formattedDate": "10/15/23", "createdAt": "2023-10-15T00:00:00" }, { "eaterName": "Jose G.", "reviewText": "Great Sandwiches and excellent service", "formattedDate": "10/11/23", "createdAt": "2023-10-11T00:00:00" }, { "eaterName": "yadder M.", "reviewText": "Delicious", "formattedDate": "09/18/23", "createdAt": "2023-09-18T00:00:00" }, { "eaterName": "Steve R.", "reviewText": "Excellent store.", "formattedDate": "07/22/23", "createdAt": "2023-07-22T00:00:00" }, { "eaterName": "Linda J.", "reviewText": "The food is amazing and the delicious very driver was wonderful", "formattedDate": "07/10/23", "createdAt": "2023-07-10T00:00:00" }, { "eaterName": "Sherley S.", "reviewText": "Delicious", "formattedDate": "06/24/23", "createdAt": "2023-06-24T00:00:00" }, { "eaterName": "Claudia D.", "reviewText": "Fresh and delicious", "formattedDate": "05/27/23", "createdAt": "2023-05-27T00:00:00" }, { "eaterName": "Vanessa G.", "reviewText": "Delicious!", "formattedDate": "03/26/23", "createdAt": "2023-03-26T00:00:00" }, { "eaterName": "Mark N.", "reviewText": "Great", "formattedDate": "12/29/21", "createdAt": "2021-12-29T00:00:00" } ], "menuItemMentions": 40, "sectionMentions": 200, "reviewMentions": 1, "reactQueryQueryCount": 6, "catalogItemCount": 35, "itemCustomizationsEnabled": true, "customizationItemsCount": 31, "deliveryFeeText": null, "etaRange": "16–16 Min", "statusCode": 200, "contentType": "text/html; charset=utf-8", "bodyLength": 1399934, "htmlFile": "UBER_EATS_DETAIL-B5-ImzTAQf2En_RCiqU62A-1774802693942.html", "scrapedAt": "2026-03-29T16:45:03.903Z" } ``` *** ### Output Fields Explanation Below is an explanation of the fields in the output JSON, categorized for clarity. #### 1. Identification, URLs & source - **source**: How the row was produced (e.g. `ubereats_detail_html`). - **url** / **originalUrl** / **loadedUrl** / **canonicalUrl** / **restaurantUrl**: Request and canonical store links. - **shopName**, **shopId**, **storeId**, **storeUuid**, **storeSlug**, **citySlug**: Store identifiers and slug paths. - **locale**, **htmlLocale**: Language/locale hints from input or HTML. - **message**: Short status such as menu discovery outcome. - **hasMenu**, **menuType**: Whether a menu was found and its label. #### 2. Store presentation & SEO - **title**: Store display name. - **seoTitle**, **description**: Meta title and description. - **image**: Primary image URL. - **heroImageUrls**: Gallery of hero/banner images from the page payload. #### 3. Ratings, reviews & FAQs - **ratingValue**: Average rating when available. - **reviewCount**: Total ratings count from structured data (may exceed length of embedded review text). - **reviewSamples**: Array of recent public reviews (eater name, text, formatted and ISO dates). - **faqCount**: Number of FAQ entries when exposed. #### 4. Location, contact & cuisines - **address**: JSON-LD `PostalAddress` object. - **addressText**: Single-line formatted address. - **phoneNumber**: Store phone when present. - **cuisineList**: Cuisine tags (e.g. Sandwich, American). - **currencyCode**, **priceBucket**: Currency and price band indicator. #### 5. Ordering state & hours - **isOrderable**, **isOpen**: Whether the storefront accepts orders and is open. - **closedMessage**: User-visible closed copy when applicable. - **hours**: Structured opening hours (day ranges and section hours). #### 6. Menu (structured & flat) - **menuSections**: JSON-LD-style menu sections with nested `MenuItem` entries (name, description, `offers` price, `imageUrl`). - **menuSectionCount**, **menuSubsectionCount**, **menuItemCount**: Counts for sections, subsections, and items. - **menuItems**: Denormalized list of items (name, description, section, price, currency, image, UUIDs, optional `customizations` when enabled). #### 7. Analytics & embedded-state hints - **analytics**: Aggregates such as total items, min/max/average price, image and price coverage, customization coverage and option counts. - **menuItemMentions**, **sectionMentions**, **reviewMentions**: Raw substring occurrence counts in HTML (debug/quality signal). - **reactQueryQueryCount**: Number of React Query entries parsed from `__REACT_QUERY_STATE__`. - **catalogItemCount**, **itemCustomizationsEnabled**, **customizationItemsCount**: Catalog sizing hints from embedded data. #### 8. Delivery hints & HTTP metadata - **deliveryFeeText**, **etaRange**: Delivery fee copy and ETA range when parsed from HTML. - **pllStatus**: Internal PLL script status code string when present. - **statusCode**, **contentType**, **bodyLength**: HTTP response metadata. - **htmlFile**: Filename of optional saved HTML snapshot on disk (local/debug runs). - **scrapedAt**: ISO timestamp when the row was produced. *** ### Benefits of the Uber Eats Store Scraper - **Menu intelligence**: Capture full menus with prices and images in one request per store. - **Competitive research**: Compare item pricing and assortment across locations and brands. - **Data pipelines**: Clean JSON ready for warehouses, BI tools, or enrichment workflows. - **Review snippets**: Quick access to verbatim customer feedback included in the initial page payload. - **Operational flags**: Open/closed and orderable state for availability monitoring. *** ### Why Choose the Uber Eats Store Scraper? The Uber Eats Store Scraper is built for teams that need **repeatable, structured restaurant data** without maintaining headless browsers for every run. It combines fast HTTP fetching with parsing of Uber’s embedded state and JSON-LD so you get menus and metadata in one JSON document per store. **Use Cases:** - Building or updating a restaurant menu database - Tracking price or item changes over time - Enriching location datasets with cuisines, hours, and ratings - Sampling customer review text for sentiment or QA *** ### Technical Implementation The actor uses a robust extraction pipeline: 1. **HTTP fetch**: Crawlee `CheerioCrawler` with an Impit-based client (Firefox profile, HTTP/3, optional TLS relaxations) and Apify proxy support. 2. **State & JSON-LD parsing**: Reads `__REACT_QUERY_STATE__` and JSON-LD blocks to recover store entity, menu, ratings, and reviews. 3. **Menu flattening & analytics**: Derives flat `menuItems`, optional customization trees, and summary statistics for coverage and pricing. *** ### Explore More Scrapers If you found this actor useful, check out other scrapers at [memo23's Apify profile](https://apify.com/memo23). We offer a wide range of tools to enhance your web scraping and automation needs. *** ### Support - For issues or feature requests, please use the **Issues** section of this actor in the Apify console. - For further assistance, contact the author: - Author's website: - Email: *** ### Additional Services - Request customization or a full dataset: - Need other platforms scraped? Contact - For API services of this scraper, reach out to - Custom integrations and automation solutions available *** ### Version History - **v1.0**: Uber Eats store detail extraction (menu, reviews, analytics) - Cheerio + embedded React Query state parsing - Optional full item customization payloads *** ### Legal & Compliance This scraper is designed for legitimate business and research purposes. Users are responsible for: - Complying with **Uber** and **Uber Eats** terms of service and applicable laws - Respecting robots.txt, rate limiting, and platform policies - Using scraped data in accordance with applicable privacy and consumer regulations - Obtaining necessary permissions for commercial use of data *** ### FAQ **Q: How many stores can I scrape per run?**\ A: Free users can process up to **50** stores per run (same `maxItems` cap as other actors on this billing tier). Paid users can raise limits according to their plan. **Q: Does the actor return the full menu?**\ A: Yes, when Uber Eats exposes the menu in the store page payload. Output includes both JSON-LD `menuSections` and a flattened `menuItems` list; enabling `includeItemCustomizations` adds large per-item customization trees. **Q: Are prices and currency included?**\ A: Yes. Items include numeric prices and `currency` (typically `USD` for US stores), plus store-level `currencyCode`. **Q: How fresh is the data?**\ A: Data reflects the store page at crawl time (`scrapedAt`). **Q: Can I scrape without proxies?**\ A: You can, but residential or datacenter proxies are recommended for stable production runs. ## apify-ubereats # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of listings to scrape per run. Set to 0 for unlimited. ## `maxConcurrency` (type: `integer`): Maximum number of pages that can be processed at the same time. ## `minConcurrency` (type: `integer`): Minimum number of pages that will be processed at the same time. ## `maxRequestRetries` (type: `integer`): Number of times the crawler will retry a failed request before giving up. ## `includeItemCustomizations` (type: `boolean`): When enabled, fetches Uber Eats item option trees such as sizes, toppings, add-ons, and nested suboptions from the item detail API. This increases run time and request volume. ## `proxy` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin.

For details, see Proxy configuration in README. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.ubereats.com/mx-en/store/whataburger-1120-n-velasco-st/tn7g8jrHWleakVN6nVbaIw?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=" } ], "maxItems": 10000, "maxConcurrency": 100, "minConcurrency": 1, "maxRequestRetries": 100, "includeItemCustomizations": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (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 = { "startUrls": [ { "url": "https://www.ubereats.com/mx-en/store/whataburger-1120-n-velasco-st/tn7g8jrHWleakVN6nVbaIw?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("memo23/uber-eats-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 = { "startUrls": [{ "url": "https://www.ubereats.com/mx-en/store/whataburger-1120-n-velasco-st/tn7g8jrHWleakVN6nVbaIw?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=" }], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("memo23/uber-eats-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 '{ "startUrls": [ { "url": "https://www.ubereats.com/mx-en/store/whataburger-1120-n-velasco-st/tn7g8jrHWleakVN6nVbaIw?diningMode=PICKUP&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMjE0MDclMjBOJTIwTWFpbiUyMFN0JTIyJTJDJTIycmVmZXJlbmNlJTIyJTNBJTIyaGVyZSUzQWFmJTNBc3RyZWV0c2VjdGlvbiUzQWlRanFNei05UUYwT1FIYXRmOU9qR0QlM0FDZ2dJQkNDZDc3YXVBeEFCR2dReE5EQTMlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyaGVyZV9wbGFjZXMlMjIlMkMlMjJsYXRpdHVkZSUyMiUzQTM3LjI0NzUzJTJDJTIybG9uZ2l0dWRlJTIyJTNBLTgwLjQxNTEyJTdE&surfaceName=" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call memo23/uber-eats-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memo23/uber-eats-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Uber Eats Full Menu & Reviews Scraper", "description": "Uber Eats stores β†’ JSON per URL: menuSections & menuItems (prices, currency, images; optional add-on trees), ratingValue, reviewCount, reviewSamples, address, phone, hours, isOpen/isOrderable, cuisines, analytics, hero images, SEO title/description, URLs, scrapedAt.", "version": "0.0", "x-build-id": "QA0s4yaWBr4aRbcf3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~uber-eats-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-uber-eats-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/memo23~uber-eats-scraper/runs": { "post": { "operationId": "runs-sync-memo23-uber-eats-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/memo23~uber-eats-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-uber-eats-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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Results Limit", "type": "integer", "description": "Maximum number of listings to scrape per run. Set to 0 for unlimited.", "default": 10000 }, "maxConcurrency": { "title": "Max Concurrency", "type": "integer", "description": "Maximum number of pages that can be processed at the same time.", "default": 100 }, "minConcurrency": { "title": "Min Concurrency", "type": "integer", "description": "Minimum number of pages that will be processed at the same time.", "default": 1 }, "maxRequestRetries": { "title": "Max Request Retries", "type": "integer", "description": "Number of times the crawler will retry a failed request before giving up.", "default": 100 }, "includeItemCustomizations": { "title": "Include All Menu Option", "type": "boolean", "description": "When enabled, fetches Uber Eats item option trees such as sizes, toppings, add-ons, and nested suboptions from the item detail API. This increases run time and request volume.", "default": false }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.

For details, see Proxy configuration in README.", "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 } } } } } } } } } } ```