# Facebook Reviews Scraper (`scrapapi/facebook-reviews-scraper`) Actor - **URL**: https://apify.com/scrapapi/facebook-reviews-scraper.md - **Developed by:** [ScrapAPI](https://apify.com/scrapapi) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Facebook Reviews Scraper A powerful and efficient Apify Actor that scrapes Facebook page reviews at scale. Extract comprehensive review data including user information, ratings, comments, likes, and engagement metrics from any public Facebook page. ### Why Choose Us? - **πŸš€ High Performance**: Asynchronous scraping with concurrent processing for maximum speed - **πŸ›‘οΈ Smart Proxy Management**: Automatic fallback system (no proxy β†’ datacenter β†’ residential) with intelligent retry logic - **πŸ“Š Comprehensive Data**: Extract complete review details including user profiles, engagement metrics, and timestamps - **πŸ”„ Reliable Pagination**: Automatic cursor-based pagination to collect all available reviews - **⚑ Production Ready**: Built with error handling, retry logic, and detailed logging for enterprise use - **πŸ“¦ Bulk Processing**: Process multiple Facebook pages simultaneously with configurable concurrency ### Key Features #### ✨ Core Capabilities - **Bulk Input Support**: Process multiple Facebook pages, usernames, or keywords in a single run - **Automatic URL Normalization**: Automatically converts usernames and keywords to proper Facebook review URLs - **Smart Pagination**: Uses Facebook's GraphQL cursor system to fetch all available reviews - **Data Deduplication**: Automatically filters duplicate reviews based on unique IDs - **Flexible Sorting**: Sort reviews by newest, oldest, or most relevant (by engagement) - **Configurable Limits**: Set maximum number of reviews to scrape per page (default: 500) #### πŸ”’ Proxy & Anti-Blocking - **Intelligent Fallback System**: - Stage 1: Starts with no proxy (direct connection) - Stage 2: Falls back to datacenter proxy if blocked - Stage 3: Falls back to residential proxy with 3 retries - Sticky Residential: Once residential proxy is used, it sticks for all remaining requests - **Detailed Proxy Logging**: Clear visibility into proxy transitions and events - **Automatic Retry Logic**: Handles empty batches and network errors with configurable retries #### πŸ“ˆ Data Extraction Extracts the following fields for each review: - **Review Metadata**: Unique ID, Facebook URL, post URL, creation date - **User Information**: User ID, name, profile URL, profile picture - **Review Content**: Full review text, recommendation status (recommended/not recommended) - **Engagement Metrics**: Likes count, comments count - **Page Information**: Page name, Facebook page URL - **Technical IDs**: Facebook ID, post Facebook ID ### Input #### Input Schema ```json { "inputs": [ "https://www.facebook.com/mrbeast", "https://www.facebook.com/tesla", "nike" ], "sortOrder": "newest", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ```` #### Input Fields | Field | Type | Required | Description | |-------|------|----------|-------------| | **inputs** | `array` | βœ… Yes | List of Facebook page URLs, usernames, or keywords. Supports multiple formats:
β€’ Full URLs: `https://www.facebook.com/mrbeast`
β€’ Usernames: `mrbeast`
β€’ Keywords: `nike` (requires resolvable page context) | | **sortOrder** | `string` | ❌ No | Sort reviews by:
β€’ `newest` (default)
β€’ `oldest`
β€’ `most_relevant` (likes + comments) | | **maxItems** | `integer` | ❌ No | Maximum number of reviews to scrape per page (default: `100`). | | **proxyConfiguration** | `object` | ❌ No | Proxy settings. Default: `{"useApifyProxy": false}`
β€’ If `false`: Starts with no proxy, auto-fallback on blocks
β€’ If `true`: Uses Apify proxy groups as specified | #### Input Examples **Single Page:** ```json { "inputs": ["https://www.facebook.com/mrbeast"] } ``` **Multiple Pages:** ```json { "inputs": [ "https://www.facebook.com/mrbeast", "https://www.facebook.com/tesla", "nike" ] } ``` **With Proxy:** ```json { "inputs": ["https://www.facebook.com/mrbeast"], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["DATACENTER"] } } ``` ### Output #### Output Format The actor outputs data in two formats: 1. **Dataset**: Individual review records (one per review) 2. **Key-Value Store**: Aggregated JSON grouped by page name (key: `OUTPUT`) #### Dataset Output (Individual Reviews) Each review is stored as a separate record in the dataset: ```json { "facebookUrl": "https://www.facebook.com/mrbeast", "id": "UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=", "user": { "id": "pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl", "name": "Helen Head", "profileUrl": "https://www.facebook.com/people/Helen-Head/pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl/", "profilePic": null }, "date": "2025-12-23T18:12:27.000Z", "url": "https://www.facebook.com/permalink.php?story_fbid=pfbid036zKdeTsZRHzcZspm8CNjzv3jSuSQFmbjNc6h4FPwLvsBmjYU3ibcHqX4HSukzQakl&id=61584317204968", "isRecommended": true, "text": "I'm at the homeless shelter in Alexandria Virginia Prince William county building and there's a lot of us that are homeless that should have a Christmas maybe someone should help us all out show people love...", "likesCount": 1, "commentsCount": 0, "facebookId": "ZmVlZGJhY2s6MTIyMTA5OTMzMTg5MTQzOTA2", "postFacebookId": "122109933189143906", "pageName": "MrBeast" } ``` #### Key-Value Store Output (Aggregated) Aggregated output grouped by page name: ```json { "MrBeast": [ { "facebookUrl": "https://www.facebook.com/mrbeast", "id": "UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=", "user": { ... }, "date": "2025-12-23T18:12:27.000Z", ... }, ... ], "Tesla": [ ... ] } ``` #### Output Fields | Field | Type | Description | |-------|------|-------------| | **facebookUrl** | `string` | The Facebook page URL where the review was posted | | **id** | `string` | Unique review identifier (Base64 encoded) | | **user** | `object` | Reviewer information:
β€’ `id`: User's Facebook ID
β€’ `name`: User's display name
β€’ `profileUrl`: Link to user's profile
β€’ `profilePic`: Profile picture URL (may be null) | | **date** | `string` | Review creation date in ISO 8601 format (UTC) | | **url** | `string` | Direct link to the review post | | **isRecommended** | `boolean` | Whether the reviewer recommended the page (`true`/`false`) | | **text** | `string` | Full text content of the review | | **likesCount** | `integer` | Number of likes on the review | | **commentsCount** | `integer` | Number of comments on the review | | **facebookId** | `string` | Facebook feedback ID | | **postFacebookId** | `string` | Facebook post ID | | **pageName** | `string` | Name of the Facebook page being reviewed | ### πŸš€ How to Use the Actor (via Apify Console) 1. **Log in to Apify Console** - Go to - Sign in or create a free account 2. **Find the Actor** - Navigate to the **Actors** section - Search for "Facebook Reviews Scraper" or find it in your actor list 3. **Configure Input** - Click on the actor to open it - In the **Input** tab, enter your configuration: - Add Facebook page URLs or usernames in the `inputs` field - Optionally configure proxy settings 4. **Run the Actor** - Click the **Start** button - Monitor progress in real-time via the **Log** tab 5. **Monitor Progress** - Watch detailed logs showing: - Proxy stage transitions - Pages being processed - Reviews being extracted - Batch progress and pagination 6. **Access Results** - Once complete, go to the **Dataset** tab to view individual reviews - Go to **Key-Value Store** and find the `OUTPUT` key for aggregated results - Export data as JSON, CSV, or Excel 7. **Export Results** - Click **Export** in the Dataset or Key-Value Store - Choose your preferred format (JSON, CSV, Excel, etc.) - Download or integrate via API ### Best Use Cases #### πŸ“Š Business Intelligence & Market Research - **Competitor Analysis**: Monitor reviews for competitor pages to understand customer sentiment - **Brand Monitoring**: Track reviews for your own brand pages to measure customer satisfaction - **Market Research**: Analyze reviews across multiple pages in your industry #### πŸ’Ό Customer Service & Reputation Management - **Review Aggregation**: Collect all reviews from multiple platforms for centralized analysis - **Sentiment Analysis**: Extract review text for sentiment analysis and customer feedback processing - **Response Management**: Identify reviews that need responses based on engagement metrics #### πŸ“ˆ Data Analytics & Reporting - **Trend Analysis**: Track review patterns over time by analyzing dates and engagement - **Engagement Metrics**: Measure likes and comments to identify most impactful reviews - **User Behavior**: Analyze reviewer profiles and patterns #### πŸ” Content & Research - **Academic Research**: Collect review data for social media research studies - **Content Creation**: Gather customer testimonials and feedback for marketing materials - **Product Development**: Extract user feedback to inform product improvements ### Frequently Asked Questions #### ❓ How many reviews can I scrape per page? The default limit is **500 reviews per page**, but you can adjust this in the code. The actor will automatically paginate through all available reviews up to your specified limit. #### ❓ Can I scrape private Facebook pages? No. This actor only scrapes **publicly available** reviews from Facebook pages. Private pages or pages with restricted access cannot be scraped. #### ❓ What happens if Facebook blocks my requests? The actor has an intelligent **3-stage proxy fallback system**: 1. First attempts with no proxy (direct connection) 2. If blocked, automatically switches to datacenter proxy 3. If still blocked, switches to residential proxy with 3 retries 4. Once residential proxy is used, it sticks for all remaining requests All proxy transitions are logged clearly for transparency. #### ❓ How long does it take to scrape reviews? Scraping time depends on: - Number of pages being processed - Number of reviews per page - Network speed and proxy latency - Facebook's response times Typically, **100-200 reviews per minute** can be processed. The actor processes multiple pages concurrently for faster results. #### ❓ Can I scrape reviews from multiple pages at once? Yes! The actor supports **bulk processing**. Simply add multiple URLs, usernames, or keywords to the `inputs` array. The actor will process them concurrently (up to 3 pages simultaneously by default). #### ❓ What data format is the output? Output is available in two formats: - **Dataset**: Individual review records (one JSON object per review) - **Key-Value Store**: Aggregated JSON grouped by page name (key: `OUTPUT`) Both formats can be exported as JSON, CSV, or Excel. #### ❓ Do I need to configure proxies? No, proxies are **optional**. By default, the actor starts with no proxy. If Facebook blocks or rejects requests, it automatically falls back to proxies. You can also manually configure proxy settings if needed. #### ❓ Can I sort the reviews? Yes! The actor supports sorting by: - **newest**: Most recent reviews first (default) - **oldest**: Oldest reviews first - **most\_relevant**: Highest engagement (likes + comments) first #### ❓ What if a page has no reviews? If a page has no reviews or the reviews section is not accessible, the actor will: - Log a warning message - Skip that page - Continue processing other pages - Return empty results for that page #### ❓ Is the data real-time? The actor scrapes reviews as they appear on Facebook at the time of execution. It does not provide real-time updates - you need to run the actor periodically to get the latest reviews. ### Support and Feedback πŸ’¬ **For custom solutions or feature requests**, contact us at: **dev.scraperengine@gmail.com** We're always looking to improve! If you encounter any issues or have suggestions, please reach out. ### Cautions ⚠️ **Important Legal and Ethical Considerations:** - **Public Data Only**: This actor collects data only from **publicly available** Facebook pages. No private accounts or password-protected content is accessed. - **Terms of Service**: Ensure your use of this actor complies with: - Facebook's Terms of Service - Apify's Terms of Service - Applicable data protection laws (GDPR, CCPA, etc.) - **Rate Limiting**: The actor includes built-in delays and rate limiting to be respectful to Facebook's servers. Do not modify these settings to avoid potential blocks. - **Data Usage**: You are responsible for: - Ensuring legal compliance with data collection and usage - Respecting user privacy - Complying with spam laws and data protection regulations - Obtaining necessary permissions for data processing - **No Guarantees**: Facebook may change their structure or implement anti-scraping measures at any time. The actor is provided "as-is" without warranties. - **Ethical Use**: Use this tool responsibly and ethically. Do not use scraped data for: - Spam or unsolicited communications - Harassment or stalking - Violation of user privacy - Any illegal activities *** **Built with ❀️ for the Apify community** # Actor input Schema ## `inputs` (type: `array`): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ“ Add Facebook page links or short usernamesβ€”one per line ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ βœ… Examples β€’ πŸ”— https://www.facebook.com/yourfavouritebrand β€’ πŸ‘€ just the handle, e.g. yourfavouritebrand πŸ’‘ Tip: use the exact page you care about so results line up with your research goals. πŸš€ Each entry is processed in orderβ€”batch a whole watchlist in one run! ## `maxItems` (type: `integer`): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎚️ Choose your collection size (1 β†’ 10,000) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ“ˆ Higher = more history & richer analytics ⚑ Lower = faster runs when you only need a fresh sample 🎯 Default 100 hits the sweet spot for most dashboards. ## `proxyConfiguration` (type: `object`): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ›‘οΈ Optional Apify Proxy for steadier access ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏠 Leave off for the simplest setup ✨ Turn on when you want extra resilience for demanding pages πŸ”§ Pick the proxy mode that matches your workspace policyβ€”no technical deep-dive required here. ## Actor input object example ```json { "inputs": [ "https://www.facebook.com/mrbeast" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "inputs": [ "https://www.facebook.com/mrbeast" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapapi/facebook-reviews-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 = { "inputs": ["https://www.facebook.com/mrbeast"] } # Run the Actor and wait for it to finish run = client.actor("scrapapi/facebook-reviews-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 '{ "inputs": [ "https://www.facebook.com/mrbeast" ] }' | apify call scrapapi/facebook-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapapi/facebook-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Reviews Scraper", "version": "0.1", "x-build-id": "5yOQmf81LF2k9F3OP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapapi~facebook-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapapi-facebook-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapapi~facebook-reviews-scraper/runs": { "post": { "operationId": "runs-sync-scrapapi-facebook-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapapi~facebook-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-scrapapi-facebook-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "inputs" ], "properties": { "inputs": { "title": "πŸ”— Pages to collect reviews from", "type": "array", "description": "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nπŸ“ Add Facebook page links or short usernamesβ€”one per line\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nβœ… Examples\n β€’ πŸ”— https://www.facebook.com/yourfavouritebrand\n β€’ πŸ‘€ just the handle, e.g. yourfavouritebrand\n\nπŸ’‘ Tip: use the exact page you care about so results line up with your research goals.\n\nπŸš€ Each entry is processed in orderβ€”batch a whole watchlist in one run!", "items": { "type": "string" } }, "maxItems": { "title": "πŸ“Š How many reviews per page?", "minimum": 1, "maximum": 10000, "type": "integer", "description": "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n🎚️ Choose your collection size (1 β†’ 10,000)\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nπŸ“ˆ Higher = more history & richer analytics\n⚑ Lower = faster runs when you only need a fresh sample\n\n🎯 Default 100 hits the sweet spot for most dashboards.", "default": 10 }, "proxyConfiguration": { "title": "🌐 Proxy (optional)", "type": "object", "description": "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nπŸ›‘οΈ Optional Apify Proxy for steadier access\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n🏠 Leave off for the simplest setup\n✨ Turn on when you want extra resilience for demanding pages\n\nπŸ”§ Pick the proxy mode that matches your workspace policyβ€”no technical deep-dive required here.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```