# DoorDash Scraper FREE TO USE (`dz_omar/doordash-scraper`) Actor πŸ• Scrape DoorDash store πŸ• listings, full menus, featured items, and customer πŸ’¬ Reviews. Supports location-aware search, multi-URL input, star distribution, delivery fees, pickup ETAs, and optional review extraction with item tagging. - **URL**: https://apify.com/dz\_omar/doordash-scraper.md - **Developed by:** [FlowExtract API](https://apify.com/dz_omar) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## πŸ” DoorDash Scraper **Scrape store listings, full menus, featured items, and customer reviews from DoorDash with location-aware search, multi-URL support, and optional review extraction.** ### 🎬 Video Tutorial [![Watch the Tutorial](https://img.shields.io/badge/YouTube-Watch%20Tutorial-red?style=for-the-badge&logo=youtube)](https://youtube.com/@FlowExtractAPI) https://www.youtube.com/watch?v=q5PGi7bmdXw --- ### Key Features #### Comprehensive Store Data Extraction - **Store Identity** name, description, cuisine type, business entity, and tag taxonomy with priority scores - **Ratings & Reviews** average rating, total count, star distribution (1β˜…β€“5β˜… breakdown), review count - **Pricing & Fees** price range, delivery fee, pickup fee, surge indicators, DashPass eligibility - **Availability** delivery ETA, pickup ETA, open/closed status, and full unavailability reasons - **Capabilities** delivery, pickup, group order, scheduling, catering, drone delivery flags - **Location** full address, GPS coordinates, distance from your delivery address, timezone - **Media** header image, cover image, and all UGC photo assets with UUIDs #### Menu Extraction - **Featured Items** DoorDash's algorithmic "Featured Items" carousel with grid positions, recommendation signals, and badges (e.g. `#1 Most liked`) - **Menu Categories** all menu categories including the "Most Ordered" section, with per-item ratings, badges, and card position signals - **Menu Hours** daily open/close times per menu #### Customer Reviews (Optional) - Full review text, star rating, verification status, and timestamps - Complete reviewer metadata display name, contribution count, reviewer tier - `marked_up_review_text` review text with `<>` markup linking mentions to specific menu items by ID - Extracted `tagged_item_ids` for direct joins back to menu data #### Two Scraping Modes - **Search mode** paste any DoorDash search URL and scrape multiple stores at once - **Store mode** paste a direct store URL and get full detail for that one store --- ### Quick Start #### Search for stores by keyword ```json { "address": "350 5th Ave, New York, NY", "startUrls": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" } ], "maxResults": 10 } ```` #### Scrape a specific store ```json { "address": "350 5th Ave, New York, NY", "startUrls": [ { "url": "https://www.doordash.com/store/joes-pizza-145565" } ] } ``` #### Scrape stores with reviews ```json { "address": "350 5th Ave, New York, NY", "startUrls": [ { "url": "https://www.doordash.com/search/store/sushi?event_type=search" } ], "maxResults": 5, "fetchReviews": true, "maxReviews": 20 } ``` #### Multiple URLs in one run ```json { "address": "Chicago, IL", "startUrls": [ { "url": "https://www.doordash.com/search/store/burgers?event_type=search" }, { "url": "https://www.doordash.com/store/shake-shack-12345" } ], "maxResults": 10, "fetchReviews": true, "maxReviews": 0 } ``` *** ### πŸ“‹ Input Configuration #### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `address` | string | βœ… | Chicago, IL | Delivery address for location-aware results. **Important:** DoorDash results depend on location always set this. | | `startUrls` | array | βœ… | | One or more DoorDash search or store URLs | | `maxResults` | integer | ❌ | 10 | Max stores to scrape per search URL. `0` = no limit. Ignored in store mode. | | `fetchReviews` | boolean | ❌ | false | Fetch customer reviews for each store | | `maxReviews` | integer | ❌ | 10 | Max reviews per store. `0` = all reviews. Only used when `fetchReviews` is enabled. | #### Address Field Why It Matters DoorDash results are entirely location-dependent. A search for "pizza" in New York returns completely different stores from the same search in Los Angeles. If you leave this field blank, the Actor defaults to **Chicago, IL** and you may get results from the wrong area. Always set `address` to match the city or neighborhood you want to scrape. #### Supported URL Formats | Mode | Example URL | |------|-------------| | Search | `https://www.doordash.com/search/store/pizza?event_type=search` | | Search with filters | `https://www.doordash.com/search/store/sushi?filterQuery-star_rating=4.6` | | Store (with slug) | `https://www.doordash.com/store/joes-pizza-new-york-145565` | | Store (numeric ID) | `https://www.doordash.com/store/145565` | | Store (full URL) | `https://www.doordash.com/store/145565?cursor=...` | DoorDash filter parameters in the URL (star rating, price range, DashPass, ETA, etc.) are honored automatically. Full DoorDash store URLs containing `cursor`, ranking context, or other query parameters are fully supported. Extra parameters are ignored unless relevant. *** ### πŸ“€ Output Structure The Actor produces two record types in the same dataset, identified by the `record_type` field. #### Store Record (`record_type: "store"`) One record per store. Contains store identity, ratings, fees, availability, location, media, featured items, and full menu categories all embedded in a single document. ```json { "record_type": "store", "store_id": "27544161", "name": "Lena's Italian Kitchen", "description": "Italian", "business": { "id": "29040069", "name": "Lena's Italian Kitchen", "vertical_id": 1 }, "tags": [ { "id": "96", "name": "Italian", "priority": 99 }, { "id": "9", "name": "Salads", "priority": 90 }, { "id": "37", "name": "Casual Dining", "priority": 89 } ], "rating": 4.6, "num_ratings": 1167, "num_ratings_display": "1k+", "stars_distribution": { "one": 20, "two": 27, "three": 27, "four": 200, "five": 893 }, "num_reviews": 31, "num_reviews_display": "30+ public reviews", "price_range": 2, "price_range_display": "$$", "currency": "USD", "is_dashpass": true, "delivery_fee_display": "$0 delivery fee", "delivery_fee_is_surging": false, "pickup_fee_display": "No fees", "is_open": false, "asap_minutes": null, "asap_status": { "is_available": false, "unavailable_status": "UNAVAILABLE_CLOSED", "unavailable_reason": "CLOSED", "display_reason": "Your address is not in this store's delivery area" }, "asap_pickup_minutes": 15, "asap_pickup_status": { "is_available": false, "display_status": "Ready by 11:50 AM", "operating_summary": { ... } }, "offers": { "delivery": true, "pickup": true, "group_order": true, "scheduling": true, "catering": false, "cannabis": false, "drone_delivery": false }, "flags": { "is_newly_added": false, "is_convenience": false, "fulfills_own_deliveries": false }, "address": "168 Mulberry St, New York, NY 10013, USA", "city": "New York", "state": "NY", "country": "US", "lat": 40.71956, "lng": -73.99734, "distance_from_consumer": "1.2 mi", "timezone": "America/New_York", "header_image": "https://img.cdn4dd.com/...", "cover_image": "https://img.cdn4dd.com/...", "cover_square_image": "https://img.cdn4dd.com/...", "additional_images": [ { "url": "https://img.cdn4dd.com/u/media/...", "photo_uuid": "abc123" } ], "photo_count": "18 photos", "current_menu_id": "64599346", "menu_hours": [ { "id": "64599346", "name": "Menu", "open_hours": [{ "open_time": "11:00:00", "close_time": "20:40:00" }], "display_hours": "11:00 AM - 8:40 PM" } ], "featured_items": { "collection_id": "recommended_items_for_you", "collection_name": "Featured Items", "collection_type": "mixed_grid_carousel", "num_rows": 2, "num_columns": 13, "total_items": 25, "items": [ { "item_id": "11839454237", "name": "Pasta Fiorentina", "price_display": "$18.95", "price_cents": 1895, "image_url": "https://img.cdn4dd.com/...", "rating_pct": 94, "rating_count": 87, "badges": [ { "text": "#1 Most liked", "type": "most_liked_1", "placement": "ITEM" } ], "recommendation": { "container": "recommended_items_for_you", "card_position": 0, "row": 0, "col": 0, "menu_id": "64599346", "category_id": "228676533" } } ] }, "menu_categories": [ { "category_id": "popular-items", "category_name": "Most Ordered", "is_popular": true, "collection_type": "item_list", "collection_position": 2, "visible_item_count": 5, "total_items": 12, "items": [ { "item_id": "11839454237", "name": "Pasta Fiorentina", "description": "Spinach, mushroom, roasted garlic in a light cream sauce", "price_display": "$18.95", "price_cents": 1895, "image_url": "https://img.cdn4dd.com/...", "quick_add_eligible": true, "has_customization": true, "rating_pct": 94, "rating_count": 87, "badges": [ { "text": "#1 Most liked", "type": "most_liked_1", "placement": "ITEM" } ], "card_position": 0, "cell_type": "SQUARE", "menu_id": "64599346", "category_id": "228676533" } ] } ], "url": "https://www.doordash.com/store/27544161", "_source": "doordash-scraper", "_scrapedAt": "2026-05-12T10:49:34.000Z" } ``` #### Review Record (`record_type: "review"`) One record per customer review. The original DoorDash review payload is preserved intact, with dataset metadata and convenience fields added on top. ```json { "record_type": "review", "store_id": "27544161", "review_id": "a0d43b28-a5f4-4914-8ed3-8528e5f709e4", "reviewer_name": "Max G", "rating": 5, "tagged_item_ids": ["11839454237", "17241668102"], "consumer_review_uuid": "a0d43b28-a5f4-4914-8ed3-8528e5f709e4", "reviewer_display_name": "Max G", "star_rating": 5, "reviewed_at": "2026-04-27T02:23:34.680827Z", "review_text": "Lena's has great, big portions and the food is overall very tasty...", "is_verified": true, "experience": "DOORDASH", "review_source": "DOORDASH", "reviewer_data": { "display_name": "Max G", "description": "Emerging Expert β€’ 15 contributions", "profile_image": { "url": "" }, "is_verified": false, "creator_profile_uri": "/consumer/profile/1553580317", "consumer_id": "1553580317" }, "consumer_review_source": "CONSUMER_REVIEW_SOURCE_DOORDASH", "marked_up_review_text": "Lena's has great, big portions... <>Chicken Marsala<> was hearty...", "_source": "doordash-scraper", "_scrapedAt": "2026-05-12T10:49:34.000Z" } ``` #### Store Record Field Reference | Field | Type | Description | |-------|------|-------------| | `record_type` | string | Always `"store"` | | `store_id` | string | DoorDash internal store identifier | | `name` | string | Store display name | | `description` | string | Cuisine type or short description | | `business` | object | Business entity id, name, vertical\_id | | `tags` | array | Tag taxonomy with id, name, priority score | | `rating` | number | Average star rating (0–5) | | `num_ratings` | integer | Total number of ratings | | `num_ratings_display` | string | Display string e.g. "1k+" | | `stars_distribution` | object | Rating breakdown by star level (one–five) | | `num_reviews` | integer | Total number of written reviews | | `price_range` | integer | 1=$, 2=$$, 3=$$$, 4=$$$$ | | `price_range_display` | string | Display string e.g. "$$" | | `is_dashpass` | boolean | DashPass partner status | | `delivery_fee_display` | string | Delivery fee display string | | `delivery_fee_is_surging` | boolean | Whether delivery fee is surging | | `pickup_fee_display` | string | Pickup fee display string | | `is_open` | boolean | Whether store is currently open for delivery | | `asap_minutes` | integer | Estimated delivery time in minutes | | `asap_status` | object | Full delivery availability object with reason | | `asap_pickup_minutes` | integer | Estimated pickup time in minutes | | `asap_pickup_status` | object | Full pickup availability object | | `offers` | object | Capability flags delivery, pickup, group order, scheduling, catering, cannabis, drone | | `flags` | object | Store flags newly\_added, convenience, fulfills\_own\_deliveries | | `address` | string | Full street address | | `city` / `state` / `country` | string | Location components | | `lat` / `lng` | number | GPS coordinates | | `distance_from_consumer` | string | Distance from the input delivery address | | `timezone` | string | Store timezone | | `header_image` | string | Header image URL | | `cover_image` | string | Cover image URL | | `cover_square_image` | string | Square cover image URL | | `additional_images` | array | UGC photos with url and photo\_uuid | | `photo_count` | string | Display string e.g. "18 photos" | | `menu_hours` | array | Daily open/close times per menu | | `featured_items` | object | Featured items carousel with grid positions and recommendation signals | | `menu_categories` | array | All menu categories with full item detail, badges, and position signals | | `url` | string | DoorDash store URL | | `_source` | string | Always `"doordash-scraper"` | | `_scrapedAt` | string | ISO 8601 scrape timestamp | #### Review Record Field Reference | Field | Type | Description | |-------|------|-------------| | `record_type` | string | Always `"review"` | | `store_id` | string | Join key back to the store record | | `review_id` | string | Alias for `consumer_review_uuid` | | `reviewer_name` | string | Alias for `reviewer_display_name` | | `rating` | integer | Alias for `star_rating` (1–5) | | `tagged_item_ids` | array | Item IDs extracted from `marked_up_review_text` | | `consumer_review_uuid` | string | Original DoorDash review UUID | | `star_rating` | integer | Original star rating field (1–5) | | `review_text` | string | Plain review text | | `marked_up_review_text` | string | Review text with `<>` item markup | | `is_verified` | boolean | Whether the review is from a verified order | | `reviewed_at` | string | ISO 8601 review timestamp | | `reviewer_data` | object | Full reviewer object display name, description, profile URI, consumer ID | | `review_source` | string | Source platform e.g. `"DOORDASH"` | | `experience` | string | Experience type e.g. `"DOORDASH"` | | `_source` | string | Always `"doordash-scraper"` | | `_scrapedAt` | string | ISO 8601 scrape timestamp | *** ### πŸ“Š Pre-Configured Dataset Views #### 1. Stores All store records in a flat table identity, ratings, fees, availability, and embedded menu/featured data. **Fields:** photo, store ID, name, cuisine, rating, ratings count, reviews count, price range, DashPass, open status, delivery ETA, delivery fee, pickup ETA, pickup fee, city, state, address, distance, featured items, menu categories, link #### 2. Reviews All review records in a flat table one row per customer review. **Fields:** record type, store ID, review ID, star rating, reviewer name, review text, reviewed at, verified status, tagged item IDs, marked-up text, reviewer info, experience, source *** ### ⚠️ Important Notes #### Data Accuracy - Store availability, fees, and menus change frequently re-run the Actor for up-to-date data - Reviews are a combination of preview reviews embedded in the store detail response and results from the paginated reviews endpoint, deduplicated by review UUID #### Review Extraction Behavior - When `fetchReviews` is disabled, no review records are pushed not even preview reviews - When `fetchReviews` is enabled, up to `maxReviews` reviews are pushed per store (set to `0` for all) - Review fetching is billed separately from store detail extraction #### Legal Considerations This Actor extracts publicly available data from DoorDash. Users must: - Comply with DoorDash's Terms of Service - Follow applicable data protection laws (GDPR, CCPA, etc.) - Use extracted data responsibly and ethically **The Actor creator is not responsible for how users utilize the extracted data.** *** ### πŸ’¬ Support & Contact #### Get Help - 🌐 **Website**: [flowextractapi.com](https://flowextractapi.com) - πŸ“§ **Email**: - πŸ™‹ **Apify Profile**: [FlowExtract API](https://apify.com/dz_omar?fpr=smcx63) - πŸ’¬ **GitHub Issues**: [FlowExtractAPI](https://github.com/FlowExtractAPI) #### Social Media - πŸ’Ό **LinkedIn**: [flowextract-api](https://www.linkedin.com/in/flowextract-api/) - 🐦 **Twitter**: [@FlowExtractAPI](https://x.com/@FlowExtractAPI) - πŸ“± **Facebook**: [flowextractapi](https://www.facebook.com/flowextractapi) *** ### 🌟 Related Actors by FlowExtract API #### 🍽️ Food & Delivery **[DoorDash Scraper](https://apify.com/dz_omar/doordash-scraper?fpr=smcx63)** Scrape store listings, menus, featured items, and customer reviews from DoorDash. #### 🏠 Real Estate Data **[Realtor.com Scraper](https://apify.com/dz_omar/realtor-scraper?fpr=smcx63)** Extract US property listings from Realtor.com. 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Supports search URLs and direct store URLs. Search example: https://www.doordash.com/search/store/sushi?event\_type=search Store example: https://www.doordash.com/store/mcdonalds-20919 ## `maxResults` (type: `integer`): Maximum number of stores to scrape per URL. Set to 0 to scrape all available stores. In store mode, this field is ignored only the store from the URL is scraped. ## `fetchReviews` (type: `boolean`): When enabled, customer reviews are fetched for each store and included in the output. ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch per store. Set to 0 to fetch all available reviews. Only used when Fetch reviews is enabled. ## Actor input object example ```json { "address": "Chicago, IL", "startUrls": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }, { "url": "https://www.doordash.com/store/145565?cursor=eyJzZWFyY2hfaXRlbV9jYXJvdXNlbF9jdXJzb3IiOnsicXVlcnkiOiJwaXp6YSIsIml0ZW1faWRzIjpbMjc2MjE0OSwxNjMwNTMxMzQsMTYzMDUzMTM1XSwic2VhcmNoX3Rlcm0iOiJwaXp6YSIsInZlcnRpY2FsX2lkIjotOTk5LCJ2ZXJ0aWNhbF9uYW1lIjoiYWxsIiwicXVlcnlfaW50ZW50IjoiRk9PRF9ESVNIIn0sInN0b3JlX3ByaW1hcnlfdmVydGljYWxfaWRzIjpbMSwxMDAzMzIsMTEwMDQ1LDExMDA2Miw0LDEwMDMzMywxMTAwNDgsMTQyLDE0NCwxNzcsMTkzLDE5NV19&pickup=false" } ], "maxResults": 10, "fetchReviews": false, "maxReviews": 10 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing one item per store, including menu categories, items, and reviews. # 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 = { "address": "Chicago, IL", "startUrls": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }, { "url": "https://www.doordash.com/store/145565?cursor=eyJzZWFyY2hfaXRlbV9jYXJvdXNlbF9jdXJzb3IiOnsicXVlcnkiOiJwaXp6YSIsIml0ZW1faWRzIjpbMjc2MjE0OSwxNjMwNTMxMzQsMTYzMDUzMTM1XSwic2VhcmNoX3Rlcm0iOiJwaXp6YSIsInZlcnRpY2FsX2lkIjotOTk5LCJ2ZXJ0aWNhbF9uYW1lIjoiYWxsIiwicXVlcnlfaW50ZW50IjoiRk9PRF9ESVNIIn0sInN0b3JlX3ByaW1hcnlfdmVydGljYWxfaWRzIjpbMSwxMDAzMzIsMTEwMDQ1LDExMDA2Miw0LDEwMDMzMywxMTAwNDgsMTQyLDE0NCwxNzcsMTkzLDE5NV19&pickup=false" } ], "maxResults": 10, "maxReviews": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("dz_omar/doordash-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 = { "address": "Chicago, IL", "startUrls": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }, { "url": "https://www.doordash.com/store/145565?cursor=eyJzZWFyY2hfaXRlbV9jYXJvdXNlbF9jdXJzb3IiOnsicXVlcnkiOiJwaXp6YSIsIml0ZW1faWRzIjpbMjc2MjE0OSwxNjMwNTMxMzQsMTYzMDUzMTM1XSwic2VhcmNoX3Rlcm0iOiJwaXp6YSIsInZlcnRpY2FsX2lkIjotOTk5LCJ2ZXJ0aWNhbF9uYW1lIjoiYWxsIiwicXVlcnlfaW50ZW50IjoiRk9PRF9ESVNIIn0sInN0b3JlX3ByaW1hcnlfdmVydGljYWxfaWRzIjpbMSwxMDAzMzIsMTEwMDQ1LDExMDA2Miw0LDEwMDMzMywxMTAwNDgsMTQyLDE0NCwxNzcsMTkzLDE5NV19&pickup=false" }, ], "maxResults": 10, "maxReviews": 10, } # Run the Actor and wait for it to finish run = client.actor("dz_omar/doordash-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 '{ "address": "Chicago, IL", "startUrls": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }, { "url": "https://www.doordash.com/store/145565?cursor=eyJzZWFyY2hfaXRlbV9jYXJvdXNlbF9jdXJzb3IiOnsicXVlcnkiOiJwaXp6YSIsIml0ZW1faWRzIjpbMjc2MjE0OSwxNjMwNTMxMzQsMTYzMDUzMTM1XSwic2VhcmNoX3Rlcm0iOiJwaXp6YSIsInZlcnRpY2FsX2lkIjotOTk5LCJ2ZXJ0aWNhbF9uYW1lIjoiYWxsIiwicXVlcnlfaW50ZW50IjoiRk9PRF9ESVNIIn0sInN0b3JlX3ByaW1hcnlfdmVydGljYWxfaWRzIjpbMSwxMDAzMzIsMTEwMDQ1LDExMDA2Miw0LDEwMDMzMywxMTAwNDgsMTQyLDE0NCwxNzcsMTkzLDE5NV19&pickup=false" } ], "maxResults": 10, "maxReviews": 10 }' | apify call dz_omar/doordash-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dz_omar/doordash-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DoorDash Scraper FREE TO USE", "description": "πŸ• Scrape DoorDash store πŸ• listings, full menus, featured items, and customer πŸ’¬ Reviews. Supports location-aware search, multi-URL input, star distribution, delivery fees, pickup ETAs, and optional review extraction with item tagging.", "version": "0.0", "x-build-id": "uHlyjenmaSVGzBYT4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dz_omar~doordash-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dz_omar-doordash-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/dz_omar~doordash-scraper/runs": { "post": { "operationId": "runs-sync-dz_omar-doordash-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/dz_omar~doordash-scraper/run-sync": { "post": { "operationId": "run-sync-dz_omar-doordash-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": [ "address", "startUrls" ], "properties": { "address": { "title": "πŸ“ Delivery address", "type": "string", "description": "DoorDash results are location-specific enter the delivery address for your target area.\n\nπŸ—ΊοΈ Use a full street address for the most accurate results (e.g. \"350 5th Ave, New York, NY\").\n\n⚠️ Leave blank and results default to Chicago, IL." }, "startUrls": { "title": "DoorDash URLs", "type": "array", "description": "One or more DoorDash URLs to scrape. Supports search URLs and direct store URLs.\n\nSearch example: https://www.doordash.com/search/store/sushi?event_type=search\nStore example: https://www.doordash.com/store/mcdonalds-20919", "default": [ { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }, { "url": "https://www.doordash.com/store/145565?cursor=eyJzZWFyY2hfaXRlbV9jYXJvdXNlbF9jdXJzb3IiOnsicXVlcnkiOiJwaXp6YSIsIml0ZW1faWRzIjpbMjc2MjE0OSwxNjMwNTMxMzQsMTYzMDUzMTM1XSwic2VhcmNoX3Rlcm0iOiJwaXp6YSIsInZlcnRpY2FsX2lkIjotOTk5LCJ2ZXJ0aWNhbF9uYW1lIjoiYWxsIiwicXVlcnlfaW50ZW50IjoiRk9PRF9ESVNIIn0sInN0b3JlX3ByaW1hcnlfdmVydGljYWxfaWRzIjpbMSwxMDAzMzIsMTEwMDQ1LDExMDA2Miw0LDEwMDMzMywxMTAwNDgsMTQyLDE0NCwxNzcsMTkzLDE5NV19&pickup=false" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max stores", "minimum": 0, "type": "integer", "description": "Maximum number of stores to scrape per URL. Set to 0 to scrape all available stores. In store mode, this field is ignored only the store from the URL is scraped.", "default": 10 }, "fetchReviews": { "title": "Fetch reviews", "type": "boolean", "description": "When enabled, customer reviews are fetched for each store and included in the output.", "default": false }, "maxReviews": { "title": "Max reviews per store", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to fetch per store. Set to 0 to fetch all available reviews. Only used when Fetch reviews is enabled.", "default": 10 } } }, "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 } } } } } } } } } } ```