# Deep Facebook Pages Analysis: Posts,Strategy,Charts,Comparison (`success_factor/facebook-importer`) Actor Scrape public Facebook pages without login — extract posts, reactions, comments, shares, and media. AI analyzes each post for sentiment, virality, controversy, and business value. Outputs 4 datasets, HTML charts, and a live dashboard. Supports date filtering and resume from interruptions. - **URL**: https://apify.com/success\_factor/facebook-importer.md - **Developed by:** [Success Factor](https://apify.com/success_factor) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 posts This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Facebook Page Scraper — Scrape Public Posts, Reactions & Insights Without Login (2026) [![Try on Apify](https://img.shields.io/badge/Apify-Try%20Now-1a73e8?style=for-the-badge)](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ) --- ### What does Facebook Page Scraper do? **Scrape any public Facebook page** — no login, no API key, no approval needed. Facebook Page Scraper extracts every scrapable detail from public pages and delivers it in a single run: 📝 **Post text**  |  ❤️ **7 reactions** (Like, Love, Wow, Haha, Sad, Angry, Care)  |  💬 **Comments**  |  🔗 **Shares**  |  🖼️ **Media**  |  📊 **analysis scores** Then it goes further — every post gets **built-in strategic analysis**: sentiment scoring, virality index, controversy flag, authority signal, and business value assessment. No external API calls needed. ✅ Ideal for **brand monitoring, competitive intelligence, sentiment tracking, market research, influencer discovery, and content strategy**. The output is **four structured datasets + an interactive HTML report + a live dashboard** — ready for Tableau, Power BI, Excel, or your data pipeline. [**→ Try it free on Apify Console**](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ) --- ### How does it compare to other Facebook scrapers? | Feature | Facebook Page Scraper | Most Alternatives | |---|---|---| | **Reaction breakdown** | ✅ 7 types (Like ❤️ 😮 😂 😢 😡 💛) | ❌ Total only, or just Likes | | **Sentiment analysis** | ✅ Built-in, no extra cost | ❌ Separate tool needed | | **Strategic scoring** | ✅ Virality, controversy, authority, business value | ❌ Raw data only | | **Insights report** | ✅ Aggregated report per run | ❌ Manual assembly | | **Interactive chart report** | ✅ In key-value store | ❌ Not included | **Bottom line:** This is the only Facebook scraper that gives you **structured data + AI analysis + visual reports in one run**, with no login wall. --- ### Who needs Facebook Page Scraper? | Persona | Pain Point | How This Helps | |---|---|---| | **📊 Social media analysts** | Manual data collection is slow | Auto-collect thousands of posts with full engagement breakdowns | | **🏢 Competitive intelligence teams** | Can't compare competitor pages systematically | Scrape any public page — benchmarks built in | | **📈 Content strategists** | Don't know what content performs best | Top-post rankings, keyword analysis, best posting times | | **🔬 Market researchers** | Need bulk data without API quotas | No rate limits, no approval process, no API key | | **🧑‍💼 Brand managers** | Can't quantify brand sentiment at scale | AI-powered sentiment labels on every post | | **📣 Influencer discovery** | Hard to evaluate potential partners | Virality index, authority signals, engagement rates | --- ### Quick Start 1. **Open** the [Actor on Apify Console](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ) 2. **Paste** a Facebook page URL (e.g. `https://www.facebook.com/NASA`) 3. **Click Run** 4. **Download** your data in JSON, CSV, or Excel — **done in ~1-5 minutes** [**→ Try it now**](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ) --- ### Input Configure in the Apify Console **Input** tab, or pass as JSON via API. | Parameter | Type | Default | Description | |---|---|---|---| | `startUrls` | Array | `["https://www.facebook.com/NASA"]` | One or more public Facebook page URLs | | `maxPostsPerPage` | Integer | 100 | Max posts per page (1–1,000) | | `proxyConfiguration` | Object | Apify Residential | Proxy settings. Use `RESIDENTIAL` for best results | | `maxRequestRetries` | Integer | 3 | Retries per failed page (0–10) | | `startDate` | String | (empty) | Only collect posts on or after this date (ISO, e.g. `2026-01-01`) | | `endDate` | String | (empty) | Only collect posts on or before this date (ISO, e.g. `2026-06-30`) | | `ignoreMaxPostsWhenDateFiltered` | Boolean | `false` | When date filters are set, ignore `maxPostsPerPage` and collect **all** posts in the range ⚠️ | | `includeStrategicAnalysis` | Boolean | `true` | Enable/disable AI-powered analysis per post | | `includeRawData` | Boolean | `false` | Include raw HTML source in post records | #### Example input ```json { "startUrls": [{ "url": "https://www.facebook.com/NASA" }], "maxPostsPerPage": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` *** ### Output The Actor creates **four datasets + an HTML summary report**: | Dataset | Contents | |---|---| | **`page-data`** | Every scraped post — text, all 7 reactions, comments, shares, media, AI scores | | **`strategic-analysis`** | Per-post analysis scores only — for filtering, ranking, and scoring | | **`insights-summary`** | One aggregated report per run — trends, benchmarks, top posts | | **`chart-data`** | Time-series arrays — reactions, comments, shares per day | | **`chart.html`** | Interactive HTML report in key-value store (see below) | #### How it works ``` Enter URLs → Scrape posts → AI analysis → 4 datasets + interactive HTML report ``` #### 1. `page-data` — Every scraped post with full details ```json { "pageName": "NASA", "postUrl": "https://www.facebook.com/NASA/posts/pfbid0ABC123Example", "timestamp": "2024-01-15T14:30:00.000Z", "text": "Exciting new discovery from the James Webb Space Telescope...", "reactions": { "total": 45231, "detail": { "likes": 42100, "loves": 2100, "cares": 500, "wows": 301, "hahas": 120, "sads": 80, "angrys": 30 } }, "commentCount": 1234, "shareCount": 567, "strategicAnalysis": { "businessValueScore": 2.73, "sentiment": { "score": 0.95, "label": "Brand Love / Community Building", "isControversial": false }, "influence": { "impactScore": 51316, "viralityIndex": "0.18%", "authoritySignal": "High" } } } ``` #### 2. `strategic-analysis` — Analysis scores only (for filtering & ranking) ```json { "pageName": "NASA", "postId": "pfbid0ABC123Example", "sentiment": { "score": 0.95, "label": "Brand Love", "isControversial": false }, "businessValueScore": 2.73, "influence": { "impactScore": 51316, "viralityIndex": "0.18%", "authoritySignal": "High" } } ``` #### 3. `insights-summary` — One aggregated report per run Covers: page-level stats, content analysis (keywords, hashtags, CTAs, emoji usage, media mix), temporal trends (best days/times, posting cadence, engagement direction), and **competitive benchmarks** (rankings, reaction fingerprints, insight highlights). #### 4. `chart-data` — Time-series arrays for visualization Chronological data points per page — reactions (total + per type), comments, shares — ready for Tableau, Power BI, or any charting library. #### 5. `chart.html` — Interactive HTML summary report in key-value store Open in any browser for instant visual analysis: summary cards, engagement time-series, reaction pie charts, top 10 posts (clickable), sentiment & business value bar charts (clickable bars open posts on Facebook). *** ### Pricing **Pay Per Event (PPE)** — charged per post scraped, not per compute unit. | Event | Price per 1,000 | Price | Notes | |---|---|---|---| | `apify-actor-start` | — | ~$0.00005 | One-time per run | | `scraped-result` | **$3.00** | $0.003 | Per post collected | | `date-filter` | **$2.00** | $0.002 | Once per page if date range used | | Posts | Cost | With Date Filter | |---|---|---| | 100 | $0.30 | $0.31 | | 1,000 | **$3.00** | $3.01 | | 10,000 | $30.00 | $30.01 | > 🆕 **New to Apify?** Free monthly credits cover thousands of posts. See [Apify pricing](https://apify.com/pricing). **Costs are capped** — set a max spend limit in Apify Console. The Actor stops gracefully when the budget is reached. **Cost-saving tips:** - Start with `maxPostsPerPage: 10` to test - Date-filter events are charged once per page, regardless of posts collected - Use `ignoreMaxPostsWhenDateFiltered: false` (default) to stay within budget *** ### Features deep-dive #### 🧠 AI-powered strategic analysis (built-in) Every post is analyzed on seven dimensions — no external API calls: | Metric | Range | What It Measures | |---|---|---| | **Sentiment Score** | −1.0 to +1.0 | Emotional polarity | | **Sentiment Label** | Text | Auto-generated (e.g. "Brand Love", "Crisis Alert") | | **Controversy Flag** | Boolean | Divisive or polarizing language | | **Virality Index** | 0–100% | Engagement as % of followers | | **Impact Score** | 0+ | Weighted composite of all engagement | | **Authority Signal** | Low/Med/High | Numerical data density & tone | | **Business Value Score** | 1–5 | Commercial relevance | #### 🔄 Resume interrupted runs Auto-saves progress on every page. If a run stops (session expiry, network failure, manual stop), retrying resumes exactly where it left off — **zero duplicates, zero data loss**. #### 🔴 Live view dashboard Real-time web dashboard during runs (via container URL): progress bar, page status, error log, dataset counts, live SVG engagement charts. Auto-refreshes every 2 seconds. #### 📊 Interactive HTML report The `chart.html` file in the key-value store gives you a visual overview without writing queries: - Summary stats cards - Engagement line charts over time - Reaction distribution pie charts (all 7 types) - Top 10 posts with clickable text (opens on Facebook) - Sentiment and business value bar charts — click any bar to open the post - Human-friendly x-axis labels (post text previews, not IDs) #### 🛡️ Proxy & reliability - Apify Residential Proxy (recommended) for best success rate - Apify Datacenter Proxy for faster, cheaper runs - Exponential backoff retries with session management - Graceful abort handling *** ### Data tables #### Raw post data (`page-data`) | Field | Type | Description | |---|---|---| | `pageName`, `pageTitle`, `pageUrl` | String | Page identity | | `pageFollowers` | Number | Estimated follower count | | `postId`, `postUrl` | String | Post identifiers | | `timestamp` | String | ISO 8601 post date | | `text` | String | Post content | | `reactions.total`, `reactions.detail.*` | Number | Total + 7 reaction types | | `commentCount`, `shareCount` | Number | Engagement counts | | `strategicAnalysis.*` | Object | AI analysis scores | Full field reference: [developer-guide.md](./docs/developer-guide.md) *** ### FAQ **Is this legal?** Yes — only **publicly available** information from public Facebook pages. No authentication bypass, no private content. **Does it work without a Facebook account?** Yes. No login or API token required. **What if Facebook changes its structure?** Multiple fallback strategies for data extraction. Updates published within 48 hours. Check the **Issues** tab. **Can I scrape private pages?** No — only publicly visible content. **Known limitations:** - Reaction breakdown may not appear on low-engagement posts - Comment/share counts may be hidden on very new posts - Posts without text (image-only) may be skipped - Very large pages may trigger rate-limiting (handled with backoff) **Data accuracy:** - Follower counts are approximate (Facebook rounds, e.g. "28M") - Reaction counts are snapshots — they change after scrape *** ### Support For questions, feature requests, or bug reports, visit the **Issues** tab on the [Apify Console page](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ/issues). [**→ Try Facebook Page Scraper on Apify**](https://console.apify.com/actors/PmLnyXZk43G4CsCwZ) *** *This Actor is not affiliated with, endorsed by, or sponsored by Facebook or Meta Platforms, Inc. Facebook is a registered trademark of Meta Platforms, Inc.* # Actor input Schema ## `startUrls` (type: `array`): URLs of Facebook pages to scrape (e.g., https://www.facebook.com/NASA) ## `maxPostsPerPage` (type: `integer`): Maximum number of posts to scrape per Facebook page. Higher values may take longer and increase the risk of session expiry depending on page activity. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping (recommended: use Apify Proxy with residential proxy group) ## `maxRequestRetries` (type: `integer`): Maximum number of retries for failed requests ## `startDate` (type: `string`): Only collect posts on or after this date (ISO format, e.g. 2024-01-01). Leave empty to collect from the earliest available post. ## `endDate` (type: `string`): Only collect posts on or before this date (ISO format, e.g. 2024-12-31). Leave empty to collect up to the newest post. ## `ignoreMaxPostsWhenDateFiltered` (type: `boolean`): When a start date and/or end date is set, ignore the Max Posts per Page limit and collect ALL posts within the date range instead. Note: this may collect significantly more posts per page, increasing run time and cost. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.facebook.com/NASA" } ], "maxPostsPerPage": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxRequestRetries": 3, "ignoreMaxPostsWhenDateFiltered": false } ``` # Actor output Schema ## `liveView` (type: `string`): Real-time web dashboard showing scrape progress, posts collected, pages processed, and errors. Opens in your browser while the Actor is running or after it completes. ## `chartHtml` (type: `string`): Self-contained interactive HTML report with engagement time-series charts, reaction breakdown pie charts, top 10 posts table, and strategic analysis visualisations. Open in your browser. ## `pageData` (type: `string`): All scraped posts with full engagement data — text, reactions (by type), comments, shares, media, page metadata. One record per post. ## `strategicAnalysis` (type: `string`): Per-post sentiment scores, controversy flags, virality index, impact score, authority signal, and business value score. ## `insightsSummary` (type: `string`): A single aggregated report with page-level stats, top posts, content category breakdown, temporal trends, and competitive benchmarks. ## `chartData` (type: `string`): Chart-ready time-series data — one record per page with chronological arrays of reactions (total + per type), comments, and shares for plotting. ## `datasetIndex` (type: `string`): Default dataset containing a single navigation record that lists all four named datasets with descriptions. # 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.facebook.com/NASA" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("success_factor/facebook-importer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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.facebook.com/NASA" }] } # Run the Actor and wait for it to finish run = client.actor("success_factor/facebook-importer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.facebook.com/NASA" } ] }' | apify call success_factor/facebook-importer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=success_factor/facebook-importer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Deep Facebook Pages Analysis: Posts,Strategy,Charts,Comparison", "description": "Scrape public Facebook pages without login — extract posts, reactions, comments, shares, and media. AI analyzes each post for sentiment, virality, controversy, and business value. Outputs 4 datasets, HTML charts, and a live dashboard. Supports date filtering and resume from interruptions.", "version": "0.1", "x-build-id": "lcX2eqnEfUmfmDgSA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/success_factor~facebook-importer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-success_factor-facebook-importer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/success_factor~facebook-importer/runs": { "post": { "operationId": "runs-sync-success_factor-facebook-importer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/success_factor~facebook-importer/run-sync": { "post": { "operationId": "run-sync-success_factor-facebook-importer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Facebook Page URLs", "type": "array", "description": "URLs of Facebook pages to scrape (e.g., https://www.facebook.com/NASA)", "default": [ { "url": "https://www.facebook.com/NASA" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPostsPerPage": { "title": "Max Posts per Page", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to scrape per Facebook page. Higher values may take longer and increase the risk of session expiry depending on page activity.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping (recommended: use Apify Proxy with residential proxy group)", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxRequestRetries": { "title": "Max Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of retries for failed requests", "default": 3 }, "startDate": { "title": "Start Date", "type": "string", "description": "Only collect posts on or after this date (ISO format, e.g. 2024-01-01). Leave empty to collect from the earliest available post." }, "endDate": { "title": "End Date", "type": "string", "description": "Only collect posts on or before this date (ISO format, e.g. 2024-12-31). Leave empty to collect up to the newest post." }, "ignoreMaxPostsWhenDateFiltered": { "title": "Ignore Max Posts When Date Filtered", "type": "boolean", "description": "When a start date and/or end date is set, ignore the Max Posts per Page limit and collect ALL posts within the date range instead. Note: this may collect significantly more posts per page, increasing run time and cost.", "default": 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 } } } } } } } } } } ```