# DoorDash Review Scraper Free To Use (`dz_omar/doordash-review-scraper`) Actor Scrape customer reviews from any DoorDash store ๐Ÿ” Extract star ratings โญ, review text, reviewer profiles ๐Ÿ‘ค, ordered items with prices ๐Ÿงพ, vote ratings, and photo attachments ๐Ÿ“ธ - **URL**: https://apify.com/dz\_omar/doordash-review-scraper.md - **Developed by:** [FlowExtract API](https://apify.com/dz_omar) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## ๐Ÿ’ฌ DoorDash Review Scraper **Scrape customer reviews from any DoorDash store with full reviewer profiles, ordered item details, vote ratings, and photo attachments.** ### ๐ŸŽฌ 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 #### Customer Review Extraction - **Review Content** full review text, star rating, verification status, and submission timestamp - **Reviewer Identity** display name, contributor tier (Local Expert, Emerging Expert), contribution count, and profile URI - **Ordered Items** every menu item from the associated order, with name, price, CDN image, and upvote/downvote rating - **Review Photos** all photos attached to the review, with UUID, upload timestamp, and tagged item cross-reference - **Order Linkage** `order_uuid` ties each review back to its originating order - **Moderation & Quality** `moderation_status` and `quality_rating_v2` as returned by DoorDash's internal scoring - **Platform Metadata** experience type, review source, and helpful count --- ### Quick Start #### Scrape reviews from a specific store ```json { "startUrls": [ { "url": "https://www.doordash.com/store/freds-20919" } ], "maxReviews": 50 } ```` #### Fetch all available reviews ```json { "startUrls": [ { "url": "https://www.doordash.com/store/freds-20919" } ], "maxReviews": 0 } ``` #### Scrape multiple stores in one run ```json { "startUrls": [ { "url": "https://www.doordash.com/store/freds-20919" }, { "url": "https://www.doordash.com/store/shake-shack-12345" } ], "maxReviews": 100 } ``` *** ### ๐Ÿ“‹ Input Configuration #### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `startUrls` | array | โœ… | | One or more direct DoorDash store URLs to scrape reviews from | | `maxReviews` | integer | โŒ | 10 | Max reviews to fetch per store. Set to `0` to fetch all available reviews. | #### Supported URL Formats | Mode | Example URL | |------|-------------| | Store (with slug) | `https://www.doordash.com/store/freds-manhattan-20919` | | Store (numeric ID) | `https://www.doordash.com/store/20919` | | Store (full URL) | `https://www.doordash.com/store/20919?cursor=...` | This Actor only accepts direct store URLs. Search URLs are not supported use the full [DoorDash Scraper](https://apify.com/dz_omar/doordash-scraper?fpr=smcx63) for search-based store discovery. *** ### ๐Ÿ“ค Output Structure Each run produces one dataset record per customer review, identified by `record_type: "review"`. ```json { "record_type": "review", "store_id": "20919", "review_id": "4e36ee56-a322-4ca6-984f-ed0f75223cb7", "reviewer_name": "Hope T", "reviewer_display_name": "Hope T", "num_stars": 5, "review_text": "Fred's makes some of the best Burgers I've ever had in this city. Two juicy patties are so filling and fresh every time I get it delivered. One of my faves to grab for lunch.", "reviewed_at": "2025-06-06T22:30:08.047245Z", "is_verified": true, "tagged_item_ids": [], "items": [ { "id": "49793295", "name": "Burger Stack", "price": { "unit_amount": 1375, "currency": "USD", "display_string": "$13.75" }, "image": { "url": "https://img.cdn4dd.com/..." }, "rating_info": { "rating_type": "RATING_TYPE_VOTE_RATING", "rating_value": "RATING_VALUE_UPVOTE" }, "orderability_info": { "orderable": true, "orderable_path": [{ "menu_id": "530519", "category_id": "6213939" }] } } ], "reviewer_data": { "display_name": "Hope T", "description": "Local Expert โ€ข 21 contributions", "profile_image": { "url": "" }, "id": "29224299", "creator_profile_status_icon": "local_expert_fill_16", "creator_profile_uri": "/consumer/profile/29224299" }, "review_photo_details": [ { "photo_url": "https://img.cdn4dd.com/u/media/ac42dc72-003a-48c1-b679-66b4806f558a-npp.jpg", "photo_uuid": "ac42dc72-003a-48c1-b679-66b4806f558a", "created_at": "2025-06-06T22:30:08.340983Z", "photo_tagged_items": [ { "item_id": "49793295", "item_name": "Burger Stack", "price": { "display_string": "$13.75" } } ] } ], "order_uuid": "96cba90a-6f4e-44d5-ba42-007d3a3a9efe", "experience": "DOORDASH", "review_source": "DOORDASH", "consumer_review_source": "CONSUMER_REVIEW_SOURCE_DOORDASH", "helpful_count": "0", "marked_helpful": false, "moderation_status": "MODERATION_STATUS_APPROVED", "quality_rating_v2": 3, "_source": "doordash-review-scraper", "_scrapedAt": "2026-05-24T21:05:34.717Z" } ``` #### Field Reference | Field | Type | Description | |-------|------|-------------| | `record_type` | string | Always `"review"` | | `store_id` | string | DoorDash store identifier | | `review_id` | string | UUID uniquely identifying this review. Mirrors `consumer_review_uuid` | | `consumer_review_uuid` | string | Canonical DoorDash review UUID | | `reviewer_name` | string | Reviewer display name | | `reviewer_display_name` | string | Display name as shown in the review UI | | `num_stars` | integer | Star rating given by the reviewer (1โ€“5) | | `review_text` | string | Full plain-text review body | | `reviewed_at` | string | ISO 8601 UTC timestamp of review submission | | `is_verified` | boolean | True when the review is tied to a confirmed order | | `tagged_item_ids` | array | Item IDs explicitly tagged in the review. Often empty | | `items` | array | Menu items in the associated order name, price, image, vote rating, orderability path | | `reviewer_data` | object | Reviewer profile display name, contributor badge, profile URI, internal ID | | `review_photo_details` | array | Photos attached to the review, with UUID, timestamp, and tagged item cross-reference. Absent when no photos were uploaded | | `order_uuid` | string | UUID of the order this review is linked to | | `experience` | string | Platform experience type e.g. `"DOORDASH"` | | `review_source` | string | Platform that originated the review e.g. `"DOORDASH"` | | `consumer_review_source` | string | Enum string for consumer review origin | | `helpful_count` | string | Number of users who marked the review helpful | | `marked_helpful` | boolean | Whether the current viewer marked this review helpful | | `moderation_status` | string | Content moderation outcome e.g. `"MODERATION_STATUS_APPROVED"` | | `quality_rating_v2` | integer | DoorDash internal quality score for the review | | `_source` | string | Always `"doordash-review-scraper"` | | `_scrapedAt` | string | ISO 8601 timestamp of when this record was scraped | *** ### ๐Ÿ“Š Pre-Configured Dataset Views #### 1. โญ Review Overview All reviews in a flat table one row per review with core fields. **Fields:** store ID, review ID, reviewer name, star rating, review text, reviewed at, verified status, moderation status, helpful count, scraped at #### 2. ๐Ÿ” Ordered Items Flattened view of the items associated with each review useful for linking reviews to menu performance. **Fields:** store ID, review ID, reviewer name, stars, item photo, item name, price, item vote rating, orderable status #### 3. ๐Ÿ‘ค Reviewer Profiles Reviewer identity and contribution data one row per review. **Fields:** display name, contributor badge, reviewer ID, profile URI, star rating, reviewed at, experience, review source, order UUID #### 4. ๐Ÿ“ธ Review Photos All attached review photos with tagged item cross-reference one row per review. **Fields:** store ID, review ID, reviewer name, photo, photo UUID, uploaded at, tagged item name, tagged item price *** ### โš ๏ธ Important Notes #### Review Availability - Not all stores have public reviews. If a store has no reviews, no records are pushed for that store. - DoorDash may paginate reviews set `maxReviews: 0` to ensure all available reviews are fetched. - Review counts visible on the store page may differ from the number of reviews returned by the reviews API. #### Photo Attachments - The `review_photo_details` field is absent (not null) on reviews where the reviewer did not upload photos. - `rating_info` inside `items` may be an empty object `{}` when the reviewer did not vote on individual items. #### 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.** *** ### ๐Ÿ’ฌ Support & Contact #### Get Help - ๐ŸŒ **Website**: [flowextractapi.com](https://flowextractapi.com) - ๐Ÿ“ง **Email**: - ๐Ÿ™‹ **Apify Profile**: [FlowExtract API](https://apify.com/dz_omar?fpr=smcx63) - ๐Ÿ’ฌ **GitHub Issues**: [FlowExtractAPI](https://github.com/FlowExtractAPI) #### Social Media - ๐Ÿ’ผ **LinkedIn**: [flowextract-api](https://www.linkedin.com/in/flowextract-api/) - ๐Ÿฆ **Twitter**: [@FlowExtractAPI](https://x.com/@FlowExtractAPI) - ๐Ÿ“ฑ **Facebook**: [flowextractapi](https://www.facebook.com/flowextractapi) *** ### ๐ŸŒŸ Related Actors by FlowExtract API #### ๐Ÿฝ๏ธ Food & Delivery **[DoorDash Scraper](https://apify.com/dz_omar/doordash-scraper?fpr=smcx63)** Scrape store listings, menus, featured items, and customer reviews from DoorDash. #### ๐Ÿ  Real Estate Data **[Realtor.com Scraper](https://apify.com/dz_omar/realtor-scraper?fpr=smcx63)** Extract US property listings from Realtor.com. Pricing, agent contacts, tax history, AVM estimates, nearby schools, flood and noise data, and full listing history. **[PropertyFinder Scraper](https://apify.com/dz_omar/propertyfinder-scraper?fpr=smcx63)** Extract property listings from PropertyFinder across UAE, Saudi Arabia, Bahrain, Egypt, and Qatar. **[Idealista Scraper API](https://apify.com/dz_omar/idealista-scraper-api?fpr=smcx63)** Advanced Idealista property data extraction with API access. **[Idealista Scraper](https://apify.com/dz_omar/idealista-scraper?fpr=smcx63)** Extract Spanish real estate listings from Idealista. **[Leboncoin.fr Scraper](https://apify.com/dz_omar/leboncoin-scraper?fpr=smcx63)** Extract French classified listings from Leboncoin real estate, vehicles, jobs, and more. **[AI Contact Intelligence Extractor](https://apify.com/dz_omar/ai-contact-intelligence?fpr=smcx63)** Extract emails, phones, contacts & custom data using AI. #### ๐ŸŽฌ Video & Media Tools **[YouTube Transcript & Metadata Extractor](https://apify.com/dz_omar/youtube-transcript-metadata?fpr=smcx63)** Extract complete video transcripts with timestamps and comprehensive metadata. **[YouTube Full Channel, Playlists, Shorts, Live](https://apify.com/dz_omar/Youtube-Scraper-Pro?fpr=smcx63)** Extract complete playlist information with all video details from any YouTube playlist. **[Zoom Scraper | Downloader & Transcript](https://apify.com/dz_omar/zoom-scraper?fpr=smcx63)** Extract Zoom meeting recordings, transcripts, and metadata. **[Loom Scraper | Downloader & Transcript](https://apify.com/dz_omar/loom-video-scraper?fpr=smcx63)** Download Loom videos and extract transcripts. #### ๐Ÿ› ๏ธ Developer & Security Tools **[Screenshot](https://apify.com/dz_omar/screenshot?fpr=smcx63)** Fast, reliable webpage screenshots with customizable options. **[Ultimate Screenshot](https://apify.com/dz_omar/ultimate-screenshot?fpr=smcx63)** Advanced screenshot tool with full-page capture, custom viewports, and quality controls. **[Network Security Scanner](https://apify.com/dz_omar/network-security-scanner?fpr=smcx63)** Scan websites for security vulnerabilities and get comprehensive security reports. #### ๐Ÿ“ฑ Social Media Tools **[Facebook Ads Scraper Pro](https://apify.com/dz_omar/facebook-ads-scraper-pro?fpr=smcx63)** Extract Facebook ads data for competitor analysis and market research. **[LinkedIn Ad Library Scraper](https://apify.com/dz_omar/linkedin-ads-scraper?fpr=smcx63)** Extract comprehensive advertising data from LinkedIn's Ad Library. *** **Ready to extract DoorDash reviews?** [Start using DoorDash Review Scraper now!](https://apify.com/dz_omar/doordash-review-scraper?fpr=smcx63) # Actor input Schema ## `startUrls` (type: `array`): One or more direct DoorDash store URLs to scrape reviews from. Example: https://www.doordash.com/store/mcdonalds-20919 ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch per store. Set to 0 to fetch all available reviews. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.doordash.com/store/mcdonalds-20919" }, { "url": "https://www.doordash.com/store/the-cheesecake-factory-atlanta-24546/94546964/" }, { "url": "https://www.doordash.com/store/ajay%E2%80%99s-kitchen-atlanta-1557369/83201422/" } ], "maxReviews": 10 } ``` # 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.doordash.com/store/mcdonalds-20919" }, { "url": "https://www.doordash.com/store/the-cheesecake-factory-atlanta-24546/94546964/" }, { "url": "https://www.doordash.com/store/ajay%E2%80%99s-kitchen-atlanta-1557369/83201422/" } ], "maxReviews": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("dz_omar/doordash-review-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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.doordash.com/store/mcdonalds-20919" }, { "url": "https://www.doordash.com/store/the-cheesecake-factory-atlanta-24546/94546964/" }, { "url": "https://www.doordash.com/store/ajay%E2%80%99s-kitchen-atlanta-1557369/83201422/" }, ], "maxReviews": 10, } # Run the Actor and wait for it to finish run = client.actor("dz_omar/doordash-review-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.doordash.com/store/mcdonalds-20919" }, { "url": "https://www.doordash.com/store/the-cheesecake-factory-atlanta-24546/94546964/" }, { "url": "https://www.doordash.com/store/ajay%E2%80%99s-kitchen-atlanta-1557369/83201422/" } ], "maxReviews": 10 }' | apify call dz_omar/doordash-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dz_omar/doordash-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DoorDash Review Scraper Free To Use", "description": "Scrape customer reviews from any DoorDash store ๐Ÿ” Extract star ratings โญ, review text, reviewer profiles ๐Ÿ‘ค, ordered items with prices ๐Ÿงพ, vote ratings, and photo attachments ๐Ÿ“ธ", "version": "0.0", "x-build-id": "U1otpT2bNGeAfBpHg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dz_omar~doordash-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dz_omar-doordash-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dz_omar~doordash-review-scraper/runs": { "post": { "operationId": "runs-sync-dz_omar-doordash-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dz_omar~doordash-review-scraper/run-sync": { "post": { "operationId": "run-sync-dz_omar-doordash-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "DoorDash store URLs", "type": "array", "description": "One or more direct DoorDash store URLs to scrape reviews from.\n\nExample: https://www.doordash.com/store/mcdonalds-20919", "items": { "type": "object", "properties": { "url": { "title": "DoorDash store URL", "description": "Direct URL of the DoorDash store to scrape reviews from.\n\nExample: https://www.doordash.com/store/mcdonalds-20919", "type": "string", "pattern": "^https://www\\.doordash\\.com/store/.+" } }, "required": [ "url" ] }, "default": [ { "url": "https://www.doordash.com/store/mcdonalds-20919" } ] }, "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.", "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 } } } } } } } } } } ```