# Rappi Restaurants & Stores Scraper (`parseforge/rappi-scraper`) Actor Get restaurant listings with ratings and delivery info, and store data including markets, pharmacies, and liquor stores. Supports Colombia, Mexico, Brazil, Peru, Chile, Argentina, Ecuador, Uruguay, and Costa Rica. Export data with images, URLs, ratings, prices, metadata. - **URL**: https://apify.com/parseforge/rappi-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** E-commerce, Agents, Automation - **Stats:** 42 total users, 5 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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) ## πŸ₯‘ Rappi Restaurants & Stores Scraper > πŸš€ **Pull restaurants and stores from Rappi in minutes.** 9 LATAM countries. Restaurants, markets, pharmacies, liquor stores. No login. > πŸ•’ **Last updated:** 2026-05-09 Β· **πŸ“Š 30+ fields** per listing Β· **🌎 9 LATAM countries** Β· **🚫 No auth** required Pull live restaurant and store listings from Rappi, the largest LATAM on-demand delivery platform. The actor accepts a country plus filter combination (or a direct URL) and walks Rappi's catalog to return one structured record per business ready for delivery-market analysis, restaurant intelligence, marketplace research, or competitive monitoring. Every run fetches data live so you get the current state of Rappi at run time. Records include the business name, image, rating, review count, delivery time, delivery fee, Prime flag, free-delivery flag, address, store type, full menu metadata where exposed, and a back-reference URL. | πŸ‘₯ Built for | 🎯 Primary use cases | |---|---| | LATAM market researchers | Map restaurant density by city and country | | Delivery competitive intel | Track Rappi vs Uber Eats vs DoorDash | | Restaurant chains | Monitor presence across LATAM markets | | Investment research | Analyze on-demand market dynamics | | FMCG brands | Track product availability across delivery channels | | Lead-gen and sales | Source restaurant operator contacts | --- ### πŸ“‹ What the Rappi Scraper does - 🌎 **9-country support.** Colombia, Mexico, Brazil, Peru, Chile, Argentina, Ecuador, Uruguay, Costa Rica. - 🍽️ **Restaurants and stores.** Pull restaurants OR stores (markets, pharmacies, liquor stores). - πŸ”„ **Sort options.** Default order or by rating. - πŸ’Ž **Prime filter.** Only Prime-exclusive listings. - 🚚 **Free-delivery filter.** Only listings with free delivery. - πŸͺ **Store type filter.** Markets, pharmacies, liquor stores, etc. The scraper accepts either a country + filter combination OR direct Rappi URLs. It walks Rappi's API surface and pushes structured records to the dataset. > πŸ’‘ **Why it matters:** Rappi is the largest on-demand platform in LATAM but lacks bulk export. A live, structured pull beats manual scraping for delivery-market analysis, brand presence monitoring, and competitive research. --- ### 🎬 Full Demo 🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations. --- ### βš™οΈ Input | Field | Type | Name | Description | |---|---|---|---| | maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. | | startUrls | array | Start URLs | Direct Rappi URLs (e.g. `https://www.rappi.com.co/restaurantes`). Mutually exclusive with country filters. | | country | enum | Country | Country code: co, mx, br, pe, cl, ar, ec, uy, cr. | | restaurantSort | enum | Restaurant Sort | default or rating. | | restaurantPrime | boolean | Prime Only | Show only Prime-exclusive restaurants. | | restaurantFreeDelivery | boolean | Free Delivery Only | Show only listings with free delivery. | | storeType | string | Store Type | Filter by store category (markets, pharmacies, liquor stores). | Example 1. Top-rated restaurants in Colombia. ```json { "country": "co", "restaurantSort": "rating", "maxItems": 50 } ```` Example 2. Direct URL for Mexico City pharmacies. ```json { "startUrls": [ "https://www.rappi.com.mx/tiendas/farmacias" ], "maxItems": 100 } ``` > ⚠️ **Good to Know:** when startUrls is set, country and other filter parameters are ignored. Use the URL approach for the most precise scraping. *** ### πŸ“Š Output The dataset returns one structured record per restaurant or store. Each record carries identifiers, name, image, rating, delivery info, address, store type, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API. #### 🧾 Schema | Field | Type | Example | |---|---|---| | πŸ–ΌοΈ imageUrl | string (url) | `https://images.rappi.com/.../restaurant.jpg` | | 🏷️ name | string | `Crepes & Waffles` | | ⭐ rating | number | `4.8` | | πŸ’¬ reviewCount | number | `12450` | | 🍽️ cuisine | string | International | | 🚚 deliveryFee | number | `0` | | πŸ’± currency | string | COP | | ⏱️ deliveryTime | string | `25-35 min` | | πŸ’Ž isPrime | boolean | true | | πŸ†“ isFreeDelivery | boolean | true | | πŸ“ address | string | `Av. 19 #100-25, Bogota, Colombia` | | πŸ™οΈ city | string | Bogota | | 🌍 country | string | co | | πŸͺ storeType | string | restaurant | | πŸ”— url | string (url) | `https://www.rappi.com.co/restaurantes/crepes-waffles` | | πŸ“… scrapedAt | ISO datetime | `2026-05-09T12:00:00.000Z` | #### πŸ“¦ Sample records ##### 1. Top-rated restaurant (Colombia) ```json { "imageUrl": "https://images.rappi.com/abc/restaurant.jpg", "name": "Crepes & Waffles", "rating": 4.8, "reviewCount": 12450, "cuisine": "International", "deliveryFee": 0, "currency": "COP", "deliveryTime": "25-35 min", "isPrime": true, "isFreeDelivery": true, "address": "Av. 19 #100-25, Bogota, Colombia", "city": "Bogota", "country": "co", "storeType": "restaurant", "url": "https://www.rappi.com.co/restaurantes/crepes-waffles", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 2. Pharmacy in Mexico ```json { "imageUrl": "https://images.rappi.com/def/pharmacy.jpg", "name": "Farmacias del Ahorro", "rating": 4.6, "reviewCount": 5200, "deliveryFee": 35, "currency": "MXN", "deliveryTime": "20-30 min", "isPrime": false, "isFreeDelivery": false, "address": "Av. Insurgentes Sur 850, Mexico City", "city": "Mexico City", "country": "mx", "storeType": "pharmacy", "url": "https://www.rappi.com.mx/tiendas/farmacias-del-ahorro", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` ##### 3. Sparse record (small local restaurant) ```json { "name": "Cafe Local", "rating": 4.2, "reviewCount": 35, "deliveryFee": 4500, "currency": "COP", "deliveryTime": "30-45 min", "city": "Medellin", "country": "co", "storeType": "restaurant", "url": "https://www.rappi.com.co/restaurantes/cafe-local", "scrapedAt": "2026-05-09T12:00:00.000Z" } ``` *** ### ✨ Why choose this Actor | | Capability | |---|---| | 🎯 | **Built for the job.** Scoped specifically to Rappi so you skip the parser engineering entirely. | | πŸ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | ⚑ | **Fast.** Optimized request patterns return results in seconds, not minutes. | | πŸ” | **Always fresh.** Every run pulls live data, so the dataset reflects Rappi as of run time. | | 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | πŸ›‘οΈ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > πŸ“Š Production-grade structured LATAM delivery data without the engineering overhead of building and maintaining your own scraper. *** ### πŸ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **⭐ Rappi Scraper** *(this Actor)* | $5 free credit, then pay-per-use | 9 LATAM countries | **Live per run** | Country, sort, prime, free-delivery, store type | ⚑ 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐒 Days to weeks | | Paid delivery-data platforms | $$$ monthly | Vendor-defined | Periodic | Vendor-defined | ⏳ Hours | | Manual searches | Hours per check | Limited | Stale | Manual | πŸ•’ Variable | Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance. *** ### πŸš€ How to use 1. πŸ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Go to the Rappi Scraper page on the Apify Store. 3. 🎯 **Set country + filters.** Pick a country and configure sort and other filters, then set maxItems. 4. πŸš€ **Run it.** Click **Start** and let the Actor collect your data. 5. πŸ“₯ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### πŸ’Ό Business use cases
#### πŸ“Š LATAM market research - Map restaurant density by city and country - Track delivery-market growth across LATAM - Build cuisine-mix dashboards by country - Surface emerging markets in target cities #### 🏒 Brand presence monitoring - Track restaurant chain presence across LATAM - Monitor competitor delivery footprint - Build brand-share-of-restaurant metrics - Spot new market entries
#### 🎯 Investment and M\&A - Analyze on-demand market dynamics - Build comp sets for restaurant valuations - Track delivery-platform adoption by city - Surface acquisition target candidates #### πŸ› οΈ Engineering and product - Prototype delivery-data products without owning a crawler - Replace fragile in-house Rappi scrapers - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### 🌟 Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### πŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### 🎨 Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### 🀝 Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### πŸ§ͺ Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
*** ### πŸ”Œ Automating Rappi Scraper This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool. - **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js). - **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python). - **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2). **Schedules.** Use Apify Scheduler to capture daily snapshots of Rappi listings. Combine with the Apify dataset diff tools to track new and removed restaurants between runs. *** ### ❓ Frequently Asked Questions
πŸ’³ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).
🚨 What happens if my run fails or returns no results? Failed runs are not charged. If Rappi changes its API, proxies get rate-limited, or your filters match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.
πŸ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run.
πŸ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Rappi returned at run time.
πŸ§‘β€πŸ’» Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.
πŸ“€ How do I export the data? Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.
πŸ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
πŸͺ Can I use the data commercially? Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site.
πŸ’Ό Which plan should I pick for production use? Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your dataset size and refresh cadence.
πŸ› οΈ The data I need is not in the output. Can you add it? Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need.
βš–οΈ Is scraping Rappi legal? This Actor only collects data from publicly accessible Rappi pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law. ***
### πŸ”Œ Integrate with any app Rappi Scraper 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 in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. *** ### πŸ”— Recommended Actors - [**πŸ” DoorDash Scraper**](https://apify.com/parseforge/doordash-scraper) - DoorDash restaurant and store data - [**πŸ• Booksy Business Scraper**](https://apify.com/parseforge/booksy-scraper) - Beauty and wellness business data - [**πŸ›’ Walmart Grocery Scraper**](https://apify.com/parseforge/walmart-grocery-scraper) - Walmart grocery listings - [**πŸ›οΈ Mercari Scraper**](https://apify.com/parseforge/mercari-scraper) - Mercari marketplace listings - [**πŸ—ΊοΈ Google Maps Scraper**](https://apify.com/parseforge/google-maps-scraper) - Google Maps places and businesses > πŸ’‘ **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **πŸ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue. *** > ⚠️ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Rappi. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law. # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of items to collect (Free users: Limited to 100. Paid users: Optional, max 1,000,000). Leave empty for unlimited. ## `startUrls` (type: `array`): Direct URLs to scrape from Rappi. Use this OR filter parameters below, not both. Examples: https://www.rappi.com.co/restaurantes, https://www.rappi.com.co/tiendas/restaurantes, https://www.rappi.com.co/tiendas/market ## `country` (type: `string`): Country code to scrape from. Use this OR startUrls above, not both. ## `restaurantSort` (type: `string`): Sort restaurants by rating or use default order ## `restaurantPrime` (type: `boolean`): Filter to show only Prime exclusive restaurants ## `restaurantFreeDelivery` (type: `boolean`): Filter to show only restaurants with free delivery ## `storeType` (type: `string`): Type of store to scrape ## `storeOffset` (type: `integer`): Pagination offset for store listings (0, 50, 100, etc.) ## `proxyConfiguration` (type: `object`): Configure proxy settings for scraping. Recommended for large-scale scraping to avoid rate limiting. ## Actor input object example ```json { "maxItems": 10, "country": "co", "restaurantSort": "default", "restaurantPrime": false, "restaurantFreeDelivery": false, "storeType": "restaurantes", "storeOffset": 0 } ``` # Actor output Schema ## `results` (type: `string`): Complete dataset with all scraped items (restaurants and stores) ## `overview` (type: `string`): Overview view with key fields displayed in a table format # 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 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/rappi-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 = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("parseforge/rappi-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 '{ "maxItems": 10 }' | apify call parseforge/rappi-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/rappi-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rappi Restaurants & Stores Scraper", "description": "Get restaurant listings with ratings and delivery info, and store data including markets, pharmacies, and liquor stores. Supports Colombia, Mexico, Brazil, Peru, Chile, Argentina, Ecuador, Uruguay, and Costa Rica. Export data with images, URLs, ratings, prices, metadata.", "version": "1.0", "x-build-id": "jOamnPzHlhnwFxlJS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~rappi-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-rappi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~rappi-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-rappi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~rappi-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-rappi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Maximum number of items to collect (Free users: Limited to 100. Paid users: Optional, max 1,000,000). Leave empty for unlimited." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct URLs to scrape from Rappi. Use this OR filter parameters below, not both. Examples: https://www.rappi.com.co/restaurantes, https://www.rappi.com.co/tiendas/restaurantes, https://www.rappi.com.co/tiendas/market", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "country": { "title": "Country", "enum": [ "co", "mx", "br", "pe", "cl", "ar", "ec", "uy", "cr" ], "type": "string", "description": "Country code to scrape from. Use this OR startUrls above, not both.", "default": "co" }, "restaurantSort": { "title": "Restaurant Sort", "enum": [ "default", "rating" ], "type": "string", "description": "Sort restaurants by rating or use default order", "default": "default" }, "restaurantPrime": { "title": "Prime Restaurants Only", "type": "boolean", "description": "Filter to show only Prime exclusive restaurants", "default": false }, "restaurantFreeDelivery": { "title": "Free Delivery Only", "type": "boolean", "description": "Filter to show only restaurants with free delivery", "default": false }, "storeType": { "title": "Store Type", "enum": [ "restaurantes", "market", "farmacias", "licores" ], "type": "string", "description": "Type of store to scrape", "default": "restaurantes" }, "storeOffset": { "title": "Store Offset", "minimum": 0, "type": "integer", "description": "Pagination offset for store listings (0, 50, 100, etc.)", "default": 0 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxy settings for scraping. Recommended for large-scale scraping to avoid rate limiting.", "properties": { "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Enable Apify Proxy for requests. Recommended for better success rates.", "default": true }, "apifyProxyGroups": { "title": "Apify Proxy Groups", "type": "array", "description": "Proxy groups to use (e.g., ['RESIDENTIAL', 'SHADER']). Leave empty for default.", "items": { "type": "string" } }, "apifyProxyCountry": { "title": "Apify Proxy Country", "type": "string", "description": "Country code for proxy (e.g., 'US', 'CO', 'MX'). Leave empty for automatic selection." } } } } }, "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 } } } } } } } } } } ```