# Ideabrowser Scraper (`marielise.dev/ideabrowser-scraper`) Actor Get tomorrow's startup opportunity today. Automatically extracts IdeaBrowser's validated ideas with scores, market gaps, and go-to-market plans. For entrepreneurs who need data-backed ideas, not guesswork. - **URL**: https://apify.com/marielise.dev/ideabrowser-scraper.md - **Developed by:** [Marielise](https://apify.com/marielise.dev) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 41 total users, 5 monthly users, 95.3% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 results 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 ## IdeaBrowser Idea of the Day Scraper Extract comprehensive startup idea data from [IdeaBrowser.com](https://www.ideabrowser.com/idea-of-the-day) including market analysis, opportunity scores, keyword metrics, and community signals. Perfect for entrepreneurs, investors, and product managers tracking startup opportunities. **Zero configuration required** - Just click Start and get structured data in seconds. ### Why IdeaBrowser Scraper? - **Complete Market Analysis** - Get opportunity scores, problem severity, feasibility, and timing metrics all in one place - **Keyword Intelligence** - Search volume and growth rates for related keywords to validate market demand - **Business Fit Metrics** - Revenue potential, execution difficulty, and go-to-market scores - **Community Signals** - Engagement data from Reddit, Facebook, YouTube to gauge audience interest - **Offer Strategy** - Pre-built pricing tier suggestions (lead magnet, frontend, core product) - **Stealth Technology** - Uses Patchright browser automation to bypass bot detection - **Structured Output** - Clean JSON format ready for databases, spreadsheets, or AI analysis ### Quick Start #### Via Apify Console No configuration required. Just click **Start** with default settings: ```json { "maxRetries": 3, "navigationTimeout": 60, "extractKeywords": true, "debugMode": false } ```` #### Via Apify API (cURL) ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~ideabrowser-scraper/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"extractKeywords": true}' ``` #### Via Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('YOUR_USERNAME/ideabrowser-scraper').call({ extractKeywords: true, maxRetries: 3, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items[0].title); // Startup idea name console.log(items[0].scores); // Opportunity scores console.log(items[0].keywords); // Keywords with volume/growth console.log(items[0].communitySignals); // Reddit, Facebook, YouTube metrics ``` #### Via Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_TOKEN') run = client.actor('YOUR_USERNAME/ideabrowser-scraper').call(run_input={ 'extractKeywords': True, 'maxRetries': 3, }) items = client.dataset(run['defaultDatasetId']).list_items().items idea = items[0] print(idea['title']) # Startup idea name print(idea['scores']['opportunity']) # Opportunity score print(idea['businessFit']) # Business fit metrics print(idea['communitySignals']) # Community engagement data ``` ### How It Works 1. **Navigate** - The actor opens IdeaBrowser.com using Patchright stealth browser 2. **Extract** - Parses the "Idea of the Day" page for all structured data 3. **Enrich** - Optionally interacts with keyword dropdowns to get volume/growth metrics 4. **Return** - Outputs clean JSON with all market analysis data ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `maxRetries` | integer | No | `3` | Number of retry attempts if page fails to load (1-10) | | `navigationTimeout` | integer | No | `60` | Page load timeout in seconds (30-120) | | `extractKeywords` | boolean | No | `true` | Extract keyword volume and growth data. Disable for faster runs | | `proxyConfiguration` | object | No | - | Optional proxy settings for geographic restrictions | | `debugMode` | boolean | No | `false` | Save screenshots and HTML on failure for troubleshooting | #### Proxy Configuration Most users do not need proxy configuration. The actor uses Patchright's built-in stealth mode. If you experience blocking: ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Output Format #### Complete Output Example ```json { "title": "Parental Control App for Roblox", "badges": ["Perfect Timing", "Unfair Advantage"], "description": "Your kid's Roblox account just got hacked. You need a dedicated parental control solution that understands gaming platforms.", "keywords": [ { "keyword": "parental controls for roblox", "volume": 27100, "growth": 653 }, { "keyword": "roblox safety for kids", "volume": 8500, "growth": 125 }, { "keyword": "roblox parental monitoring", "volume": 3200, "growth": 89 } ], "scores": { "opportunity": { "score": 9, "label": "Exceptional" }, "problem": { "score": 9, "label": "Severe Pain" }, "feasibility": { "score": 6, "label": "Challenging" }, "timing": { "score": 8, "label": "Great Timing" } }, "businessFit": { "revenuePotential": { "value": "$$$", "description": "$1M-$10M ARR potential" }, "executionDifficulty": { "value": 8, "description": "Complex build, 6-month MVP" }, "goToMarket": { "value": 9, "description": "Strong demand across platforms" }, "rightForYou": "Best for founders with security/gaming background" }, "offer": { "leadMagnet": { "name": "Free Roblox Safety Guide", "price": "Free", "description": "10-page PDF on protecting kids online" }, "frontend": { "name": "Basic Monitoring", "price": "$9/mo", "description": "Activity alerts and play time limits" }, "core": { "name": "Full Protection Suite", "price": "$29/mo", "description": "Complete monitoring, chat filtering, spending controls" } }, "whyNow": "Roblox has 70M+ daily active users, mostly children. Recent high-profile hacking incidents have parents searching for solutions.", "proofAndSignals": "Parent complaints trending on Reddit r/parents and r/roblox. Multiple news articles about Roblox safety concerns.", "marketGap": "Existing parental controls are generic. No solution specifically addresses gaming platform risks like in-game purchases and chat.", "executionPlan": "Start with browser extension for monitoring. Expand to mobile app with real-time alerts. Partner with parent bloggers for distribution.", "categorization": { "type": "SaaS", "market": "B2C", "target": "Parents of children ages 6-14", "mainCompetitor": "Bark", "trendAnalysis": "Rising concern over child online safety, especially in gaming" }, "communitySignals": { "reddit": { "count": "5", "members": "2.5M+", "score": 8 }, "facebook": { "count": "5", "members": "150K+", "score": 7 }, "youtube": { "count": "1000+", "score": 7 }, "other": { "count": "Multiple forums", "score": 6 } }, "url": "https://www.ideabrowser.com/idea-of-the-day", "extractedAt": "2026-01-23T12:00:00.000Z" } ``` #### Output Fields Reference | Field | Type | Description | |-------|------|-------------| | `title` | string | Name of the startup idea | | `badges` | array | Special badges (e.g., "Perfect Timing", "Unfair Advantage") | | `description` | string | Detailed description of the problem and solution | | `keywords` | array | Related search keywords with metrics | | `keywords[].keyword` | string | Search term | | `keywords[].volume` | number | Monthly search volume | | `keywords[].growth` | number | Growth rate percentage | | `scores` | object | Opportunity assessment scores (1-10) | | `scores.opportunity` | object | Overall opportunity rating | | `scores.problem` | object | Problem severity rating | | `scores.feasibility` | object | Implementation feasibility | | `scores.timing` | object | Market timing assessment | | `businessFit` | object | Business viability metrics | | `businessFit.revenuePotential` | object | Revenue potential ($, $$, $$$) | | `businessFit.executionDifficulty` | object | Build complexity (1-10) | | `businessFit.goToMarket` | object | GTM score (1-10) | | `businessFit.rightForYou` | string | Founder fit assessment | | `offer` | object | Suggested pricing tiers | | `offer.leadMagnet` | object | Free offer to attract leads | | `offer.frontend` | object | Low-cost entry product | | `offer.core` | object | Main product offering | | `whyNow` | string | Market timing analysis | | `proofAndSignals` | string | Evidence of market demand | | `marketGap` | string | Gap in current solutions | | `executionPlan` | string | Suggested launch strategy | | `categorization` | object | Business classification | | `categorization.type` | string | Business type (SaaS, App, etc.) | | `categorization.market` | string | Target market (B2B, B2C) | | `categorization.target` | string | Target audience | | `categorization.mainCompetitor` | string | Primary competitor | | `categorization.trendAnalysis` | string | Market trend insights | | `communitySignals` | object | Social platform metrics | | `communitySignals.reddit` | object | Reddit engagement data | | `communitySignals.facebook` | object | Facebook group data | | `communitySignals.youtube` | object | YouTube content metrics | | `communitySignals.other` | object | Other platform signals | | `url` | string | Source URL | | `extractedAt` | string | ISO timestamp of extraction | ### Use Cases #### Startup Ideation Get daily inspiration for your next venture with validated market data. Use the opportunity scores and keyword volume to prioritize ideas worth pursuing. #### Market Research Track trending problems and emerging opportunities. Build a database of startup ideas by scheduling daily runs and analyzing patterns over time. #### Investment Analysis Identify promising market segments before they become crowded. Use community signals and growth metrics to spot early-stage opportunities. #### Content Creation Source material for startup-focused newsletters, podcasts, and YouTube channels. Each idea comes with ready-to-use narrative content (why now, market gap, execution plan). #### Competitive Intelligence Monitor emerging competitors and market trends. Use the categorization data to understand where new solutions are appearing. #### Product Validation Validate your own startup ideas against IdeaBrowser's scoring methodology. Compare your concept to daily featured ideas. ### Integrations #### Google Sheets Export data directly to Google Sheets using Apify's native integration. Create a live dashboard of startup opportunities. #### Airtable / Notion Push results to your preferred database for team collaboration and idea tracking. #### Slack / Discord Set up webhook notifications to receive daily ideas in your team channel. #### Zapier / Make Connect to 1000+ apps for custom workflows. Trigger actions based on opportunity scores or keyword growth. #### AI/MCP Integration This actor is fully compatible with Apify's MCP server for AI agent integrations. Use with Claude, GPT, or other AI assistants to analyze and discuss startup opportunities. ### Scheduling for Daily Updates Build a comprehensive database of startup ideas over time: 1. Go to the Actor's **Schedules** tab in Apify Console 2. Click **Create new schedule** 3. Set frequency to **Daily** at your preferred time (ideas update each morning) 4. Each run captures that day's featured idea with all metrics After 30 days, you'll have a valuable dataset of startup opportunities with trends and patterns. ### Performance and Cost | Metric | Value | |--------|-------| | Typical run time | 30-60 seconds | | Memory usage | ~1 GB (browser automation) | | Compute cost | ~$0.02 per run | | Success rate | 95%+ with default settings | ### Limitations - **Single idea per run** - Extracts only the current "Idea of the Day" - **Daily updates** - IdeaBrowser changes their featured idea once per day - **Content availability** - Some fields may be empty if not present on the source page - **Bot detection** - Occasional blocks possible; increase `maxRetries` if needed - **Keyword extraction** - Requires JavaScript interaction; can be disabled for faster runs ### FAQ #### Why did my run fail with "bot detection"? The actor uses Patchright for stealth browser automation, but IdeaBrowser may occasionally detect automated access. Solutions: 1. Increase `maxRetries` to 5-10 2. Enable proxy configuration with residential proxies 3. Enable `debugMode` to see screenshots of what went wrong #### Can I scrape historical ideas? No, IdeaBrowser only displays the current day's featured idea. To build an archive, schedule daily runs. Each run captures that day's idea. #### Why are some fields empty or null? IdeaBrowser's content varies by idea. Fields like `communitySignals` or specific `keywords` may not be available for every idea depending on the source data. #### How do I speed up extraction? Set `extractKeywords: false` to skip keyword volume/growth extraction. This reduces run time but you'll only get keyword names without metrics. #### Can I use this with AI assistants? Yes, this actor is compatible with Apify's MCP (Model Context Protocol) server. Connect it to Claude, GPT, or other AI assistants for automated startup analysis. #### What timezone does IdeaBrowser use? IdeaBrowser updates their featured idea based on US timezone. For best results, schedule runs in the morning US time. #### How reliable is the data? The actor extracts exactly what IdeaBrowser displays. Data quality depends on IdeaBrowser's analysis methodology. Scores, keywords, and metrics come directly from their platform. ### Technical Details | Component | Technology | |-----------|------------| | Browser Automation | Patchright (stealth Playwright fork) | | Bot Evasion | Built-in fingerprint randomization | | Runtime | Node.js 20 with TypeScript | | Output Format | JSON to Apify Dataset | | Error Handling | Automatic retries with exponential backoff | ### Changelog #### v1.0.2 - Fixed dataset schema for Apify Store display - Improved output schema documentation - Added multiple dataset views (Overview, Scores, Keywords, etc.) #### v1.0.1 - Added input configuration options - Improved reliability with retry logic - Better error handling and debug mode #### v1.0.0 - Initial release *** Built by [Ekipnico](https://github.com/ekipnico) | Data source: [IdeaBrowser.com](https://www.ideabrowser.com) # Actor input Schema ## `maxRetries` (type: `integer`): Number of times to retry if the page fails to load due to bot detection or network errors. Higher values increase reliability but also increase run time. ## `navigationTimeout` (type: `integer`): Maximum time in seconds to wait for the IdeaBrowser page to load. Increase this value if you experience timeout errors on slow connections. ## `extractKeywords` (type: `boolean`): Whether to extract keyword data (search volume and growth metrics) by interacting with the keyword dropdown. Disabling this speeds up extraction but omits keyword volume and growth metrics from the output. ## `warmupEnabled` (type: `boolean`): Visit the homepage first to establish a valid browser session before navigating to the target page. This helps bypass rate limits and bot detection by letting JS challenges complete and cookies get set. Highly recommended to keep enabled. ## `useCookieCache` (type: `boolean`): Save and reuse browser cookies across runs using Apify KeyValue Store. On subsequent runs, cached cookies are restored to skip challenge pages. Cookies expire after 12 hours automatically. ## `proxyConfiguration` (type: `object`): Proxy settings for bypassing rate limits. Residential proxies (RESIDENTIAL group) are strongly recommended for this site. Without a proxy, the actor relies solely on Patchright stealth and cookie harvesting. ## `debugMode` (type: `boolean`): When enabled, saves screenshots and HTML snapshots on failure for troubleshooting. Debug artifacts are saved both locally and to the Apify KeyValue Store for easy access. Keep disabled for normal operation. ## Actor input object example ```json { "maxRetries": 3, "navigationTimeout": 60, "extractKeywords": true, "warmupEnabled": true, "useCookieCache": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "debugMode": false } ``` # Actor output Schema ## `ideaData` (type: `string`): Dataset containing the extracted startup idea with title, description, badges, keywords (with search volume and growth metrics), opportunity scores (opportunity/problem/feasibility/timing), business fit metrics (revenue potential/execution difficulty/go-to-market), offer tiers (lead magnet/frontend/core), narrative sections (why now/proof & signals/market gap/execution plan), categorization (type/market/target/competitor/trends), and community signals (Reddit/Facebook/YouTube) ## `keyValueStore` (type: `string`): Actor run key-value store containing run metadata and debug output (screenshots/HTML snapshots when debug mode is enabled) # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("marielise.dev/ideabrowser-scraper").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", } } # Run the Actor and wait for it to finish run = client.actor("marielise.dev/ideabrowser-scraper").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call marielise.dev/ideabrowser-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=marielise.dev/ideabrowser-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ideabrowser Scraper", "description": "Get tomorrow's startup opportunity today. Automatically extracts IdeaBrowser's validated ideas with scores, market gaps, and go-to-market plans. For entrepreneurs who need data-backed ideas, not guesswork.", "version": "0.0", "x-build-id": "pttC0WuYM1SBKfCf9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/marielise.dev~ideabrowser-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-marielise.dev-ideabrowser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/marielise.dev~ideabrowser-scraper/runs": { "post": { "operationId": "runs-sync-marielise.dev-ideabrowser-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/marielise.dev~ideabrowser-scraper/run-sync": { "post": { "operationId": "run-sync-marielise.dev-ideabrowser-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "maxRetries": { "title": "Maximum Retries", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of times to retry if the page fails to load due to bot detection or network errors. Higher values increase reliability but also increase run time.", "default": 3 }, "navigationTimeout": { "title": "Navigation Timeout (seconds)", "minimum": 30, "maximum": 120, "type": "integer", "description": "Maximum time in seconds to wait for the IdeaBrowser page to load. Increase this value if you experience timeout errors on slow connections.", "default": 60 }, "extractKeywords": { "title": "Extract Keywords", "type": "boolean", "description": "Whether to extract keyword data (search volume and growth metrics) by interacting with the keyword dropdown. Disabling this speeds up extraction but omits keyword volume and growth metrics from the output.", "default": true }, "warmupEnabled": { "title": "Session Warmup", "type": "boolean", "description": "Visit the homepage first to establish a valid browser session before navigating to the target page. This helps bypass rate limits and bot detection by letting JS challenges complete and cookies get set. Highly recommended to keep enabled.", "default": true }, "useCookieCache": { "title": "Cookie Persistence", "type": "boolean", "description": "Save and reuse browser cookies across runs using Apify KeyValue Store. On subsequent runs, cached cookies are restored to skip challenge pages. Cookies expire after 12 hours automatically.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for bypassing rate limits. Residential proxies (RESIDENTIAL group) are strongly recommended for this site. Without a proxy, the actor relies solely on Patchright stealth and cookie harvesting.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "When enabled, saves screenshots and HTML snapshots on failure for troubleshooting. Debug artifacts are saved both locally and to the Apify KeyValue Store for easy access. Keep disabled for normal operation.", "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 } } } } } } } } } } ```