# RAG Web Browser (`scraper-engine/rag-web-browser`) Actor - **URL**: https://apify.com/scraper-engine/rag-web-browser.md - **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community) - **Categories:** AI, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ## 🌐 RAG Web Browser β€” Search & Scrape for AI Agents & LLM Pipelines > **One actor. Any question. Clean Markdown back.** > Search Google β†’ scrape the top results β†’ return polished Markdown / HTML / plain text β€” ready to drop straight into your **RAG pipeline**, **LangChain / LlamaIndex retriever**, **OpenAI Assistant**, **Claude**, **Gemini**, or **custom AI agent**. [![Apify Actor](https://apify.com/actor-badge?actor=rag-web-browser)](https://apify.com/) --- ### ✨ Why Choose This Actor? | πŸ”₯ | What you get | |---|---| | πŸš€ | **Blazing-fast** async pipeline (aiohttp + selectolax + lexbor) | | 🧠 | **LLM-ready output** β€” clean Markdown by default, HTML & plain text on demand | | πŸ›‘οΈ | **Smart proxy ladder** β€” starts direct, auto-upgrades to datacenter β†’ residential if a site blocks us | | πŸ” | **Resilient retries** β€” 3 residential attempts before giving up | | πŸ•ΈοΈ | **Bulk URLs or one search query** β€” single input, two modes | | πŸͺ | **Removes cookie / GDPR banners** automatically | | πŸ“° | **Readability mode** β€” isolates article body for cleaner context | | πŸ’Ύ | **Live dataset writes** β€” partial results survive crashes | | πŸͺŸ | **Open-source friendly** β€” Apify SDK 3.x, Python 3.13 | --- ### 🎯 Key Features * πŸ” **Google Search backbone** β€” paginated, deduped, ranked results * 🌐 **Direct URL mode** β€” paste a list of URLs and skip search entirely * 🧹 **Custom CSS scrub** β€” strip nav, footer, scripts, modals, ads, … * πŸ“‘ **Per-page metadata** β€” title, description, language, redirect chain * πŸ”’ **Per-section dataset views** β€” Results Β· Metadata Β· Crawl status Β· Content * 🎚️ **Tunable concurrency** β€” 1 to 50 parallel fetches * 🐞 **Debug mode** β€” see byte length, final URL, content type * πŸ’Έ **Pay-per-usage pricing** β€” no separate per-event charges --- ### πŸ“₯ Input The form matches the official [RAG Web Browser](https://apify.com/apify/rag-web-browser/input-schema) layout, plus an optional bulk **URLs** field. | Field | Type | Default | Description | |---|---|---|---| | `query` | string | `web browser for RAG pipelines -site:reddit.com` | Search keywords or a single URL. | | `urls` | array | `[]` | Optional bulk URLs β€” skips search when set. | | `maxResults` | integer | `3` | Top organic results to scrape (1–100). | | `outputFormats` | array | `["markdown"]` | `text`, `markdown`, and/or `html`. | | `serpProxyGroup` | string | `GOOGLE_SERP` | Proxy group for Google Search (`GOOGLE_SERP` or `SHADER`). | | `serpMaxRetries` | integer | `2` | Retries when SERP fetch fails. | | `proxyConfiguration` | object | `{ "useApifyProxy": true }` | Target-page proxies; auto-escalates to residential on block. | | `scrapingTool` | string | `raw-http` | `raw-http` (supported) or `browser-playwright` (falls back to HTTP). | | `removeElementsCssSelector` | string | (sensible default) | CSS to strip before extraction. | | `htmlTransformer` | enum | `none` | `none` or `readable` (article body). | | `maxRequestRetries` | integer | `1` | Target page retries (0–3). | | `dynamicContentWaitSecs` | integer | `10` | For browser mode only (ignored for Raw HTTP). | | `removeCookieWarnings` | boolean | `true` | Strip cookie & GDPR dialogs. | | `debugMode` | boolean | `false` | Add per-page debug info. | #### Example input ```json { "query": "best web scraping libraries 2026", "maxResults": 5, "outputFormats": ["markdown"], "removeCookieWarnings": true, "proxyConfiguration": { "useApifyProxy": false } } ```` Or scrape specific URLs: ```json { "urls": [ "https://apify.com", "https://playwright.dev", "https://crawlee.dev" ], "outputFormats": ["markdown", "text"] } ``` *** ### πŸ“€ Output Each dataset row contains: ```json { "crawl": { "httpStatusCode": 200, "httpStatusMessage": "OK", "loadedAt": "2026-05-19T12:50:40.591Z", "uniqueKey": "21f8d32712", "requestStatus": "handled" }, "searchResult": { "title": "RAG Web Browser", "description": "Web search and fetch tool for AI agents and RAG pipelines ...", "url": "https://apify.com/apify/rag-web-browser", "resultType": "ORGANIC", "rank": 1 }, "metadata": { "title": "RAG Web Browser Β· Apify", "description": "Web search and fetch tool for AI agents and RAG pipelines.", "languageCode": "en", "url": "https://apify.com/apify/rag-web-browser", "redirectedUrl": "https://apify.com/apify/rag-web-browser" }, "query": "web browser for RAG pipelines -site:reddit.com", "markdown": "## RAG Web Browser\n\nWeb search and fetch tool for AI agents..." } ``` The Apify Console renders the dataset with **five tabs**: - πŸ“‹ **Overview** β€” everything at a glance - πŸ“„ **Search results** β€” rank, title, snippet, URL - πŸ“‘ **Page metadata** β€” title, description, language, redirect chain - πŸ›°οΈ **Crawl status** β€” HTTP code, request outcome, timestamps - πŸ“ **Extracted content** β€” Markdown / HTML / plain text per page *** ### πŸš€ How to Use (Apify Console) 1. Go to [Apify Console β†’ Actors](https://console.apify.com/actors). 2. Open this actor (or import it as a task). 3. Set your **πŸ”Ž Search query** *or* paste a list of **πŸ”— URLs**. 4. Pick which **πŸ“ Output formats** you want (Markdown is the default). 5. Click **β–Ά Start**. 6. Watch the run feed β€” you'll see emoji-prefixed live progress: `πŸ”Ž Searching…`, `πŸ“„ Page 1 β†’ +10 new`, `πŸ”— [3] Fetching …`, `βœ… [3] 200 β€” Title…`, `πŸ“Š Progress: 5/10 (50%)`. 7. Open the **πŸ“¦ Output** tab to browse results by section. 8. Export as JSON / CSV / XLSX, or pull via the Apify API. *** ### πŸ€– Use via API / Integration #### REST API ```bash curl -X POST "https://api.apify.com/v2/acts//run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "query": "vector database benchmarks 2026", "maxResults": 5, "outputFormats": ["markdown"] }' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("").call(run_input={ "query": "LangChain vs LlamaIndex", "maxResults": 5, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["metadata"]["title"], "β†’", item["markdown"][:200]) ``` #### Drop-in for LangChain retrievers ```python from langchain.schema import Document docs = [ Document(page_content=item["markdown"], metadata={"source": item["metadata"]["url"], "rank": item["searchResult"]["rank"]}) for item in items if item.get("markdown") ] ``` *** ### πŸ›‘οΈ How blocking & proxies are handled You don't need to think about proxies β€” the actor auto-tunes: 1. **🟒 Direct** by default (fastest, cheapest). 2. If a site blocks us β†’ **🟑 Datacenter proxy** is engaged. 3. Still blocked? β†’ **πŸ”΄ Residential proxy** with up to 3 retries. 4. Once residential kicks in, it **sticks** for the rest of the run so successive pages don't fight the same wall. All escalations are logged so you can audit them, e.g. `πŸ›‘οΈ Switching to residential connection (sticky) β€” reason: site responded with 403`. *** ### 🎯 Best Use Cases - 🧠 **RAG pipelines** β€” feed fresh web context to your LLM at query time - πŸ€– **AI agents** β€” give Claude / GPT / Gemini a real web-browsing skill - πŸ”¬ **Research assistants** β€” bulk-summarize top N results for a topic - πŸ“ˆ **Competitive intelligence** β€” track competitor pages on a schedule - πŸ“° **Content monitoring** β€” convert articles to Markdown for analysis - πŸͺ„ **Prompt enrichment** β€” auto-grab fresh facts before generating text *** ### πŸ’° Pricing This actor is **pay-per-usage** β€” you only pay for the Apify platform compute units (CUs) and proxy traffic it actually uses. There are no separate per-event charges. | Driver | Notes | |---|---| | ⏱️ Compute units | Proportional to memory Γ— runtime. Typical 10-result run = a few cents. | | πŸ›‘οΈ Datacenter proxy | Used only if a site blocks the direct request. | | πŸ›‘οΈ Residential proxy | Used as a last resort. Higher cost but unblocks most walls. | | πŸ’Ύ Storage | A few KB per dataset row. | > Want to lower cost further? Set `maxResults` lower, enable `htmlTransformer: "readable"`, or skip `html` output. *** ### ❓ Frequently Asked Questions **Q: Do I need to configure a proxy myself?** **A:** No. Start with **no proxy** (the default). If a site blocks the direct request, the actor automatically tries datacenter, then residential. You only need to pick a proxy explicitly if you want a specific geography. **Q: How is the Markdown produced?** **A:** We parse HTML with [selectolax](https://github.com/rushter/selectolax) (lexbor backend), strip noise via your CSS selectors, optionally isolate the article body, then convert to Markdown via [markdownify](https://github.com/matthewwfinkel/markdownify) with ATX-style headings. **Q: Can I scrape JavaScript-heavy sites?** **A:** This actor uses HTTP-only fetching for maximum speed. For sites that require a full browser (heavy SPA / login flows), use a Playwright-based actor. **Q: Does it handle redirects?** **A:** Yes β€” `metadata.redirectedUrl` captures the final URL after following redirects. **Q: What happens if half my pages succeed and half fail?** **A:** You still get the successful ones. Each record is pushed to the dataset **live**, so a crash mid-run cannot wipe earlier results. Failed pages are saved with `crawl.requestStatus: "failed"` and the error message. **Q: Can I export results?** **A:** Yes β€” JSON, CSV, XLSX, RSS, XML, HTML table, all available in the **Output** tab and via the Apify API. *** ### πŸ“œ Cautions / Legal - The actor scrapes only **publicly available** web content. - Don't use it to scrape private, gated, or authenticated content unless you have explicit authorization. - You are responsible for legal compliance (GDPR, CCPA, site Terms of Service, robots.txt, copyright). - Be a good citizen β€” avoid excessive `maxResults` on sites you do not own or operate. *** ### πŸ“¨ Support & Feedback Found a bug or have a feature request? Open an issue from the actor page in the Apify Console and we'll take a look. PRs welcome. *** *Built with πŸ’™ on the Apify platform.* # Actor input Schema ## `query` (type: `string`): Enter Google Search keywords or a URL of a specific web page. Supports advanced search operators. Examples: san francisco weather, https://www.cnn.com, function calling site:openai.com. Leave empty only when using URLs (optional bulk) below. ## `urls` (type: `array`): Skip Google Search and scrape these URLs directly. If set, the search term above is ignored. ## `maxResults` (type: `integer`): The maximum number of top organic Google Search results whose web pages will be extracted. If the query is a URL, this field is ignored and only that page is fetched. ## `outputFormats` (type: `array`): Select one or more formats to which the target web pages will be extracted and saved in the resulting dataset. ## `serpProxyGroup` (type: `string`): Overrides the default Apify Proxy group used for fetching Google Search results. ## `serpMaxRetries` (type: `integer`): The maximum number of times the Actor will retry fetching Google Search results on error. If the last attempt fails, the entire search step fails. ## `proxyConfiguration` (type: `object`): Apify Proxy settings for scraping target web pages. When enabled, requests start on datacenter proxies. If a site blocks the request, the Actor automatically escalates to residential proxies (up to 3 retries, then stays on residential for the rest of the run). ## `scrapingTool` (type: `string`): Raw HTTP is fast and works for most static sites. Browser (Playwright) mode is not available in this Python build β€” if selected, Raw HTTP is used instead. ## `removeElementsCssSelector` (type: `string`): CSS selectors for elements removed from the DOM before conversion to text or Markdown. Set to a non-matching selector like dummy\_keep\_everything to disable removal. ## `htmlTransformer` (type: `string`): How to transform HTML after element removal. None keeps the cleaned page; Readable text extracts the main article body. ## `maxRequestRetries` (type: `integer`): Per-page retry budget after the first failure, before the page is skipped or proxy escalation continues. ## `dynamicContentWaitSecs` (type: `integer`): Maximum seconds to wait for dynamic content when using Browser mode. Ignored for Raw HTTP (the default scraping tool in this build). ## `removeCookieWarnings` (type: `boolean`): Remove cookie consent banners before extraction. Slightly increases processing time. ## `debugMode` (type: `boolean`): Store debugging information (proxy tier, final URL, byte length) in each dataset record under the debug field. ## Actor input object example ```json { "query": "web browser for RAG pipelines -site:reddit.com", "urls": [], "maxResults": 10, "outputFormats": [ "markdown" ], "serpProxyGroup": "GOOGLE_SERP", "serpMaxRetries": 2, "proxyConfiguration": { "useApifyProxy": true }, "scrapingTool": "raw-http", "removeElementsCssSelector": "nav, footer, script, style, noscript, svg, img[src^='data:'],\n[role=\"alert\"],\n[role=\"banner\"],\n[role=\"dialog\"],\n[role=\"alertdialog\"],\n[role=\"region\"][aria-label*=\"skip\" i],\n[aria-modal=\"true\"]", "htmlTransformer": "none", "maxRequestRetries": 1, "dynamicContentWaitSecs": 10, "removeCookieWarnings": true, "debugMode": 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 = { "query": "web browser for RAG pipelines -site:reddit.com" }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-engine/rag-web-browser").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 = { "query": "web browser for RAG pipelines -site:reddit.com" } # Run the Actor and wait for it to finish run = client.actor("scraper-engine/rag-web-browser").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 '{ "query": "web browser for RAG pipelines -site:reddit.com" }' | apify call scraper-engine/rag-web-browser --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-engine/rag-web-browser", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RAG Web Browser", "description": null, "version": "0.2", "x-build-id": "WYBu9CYXfAZglVlaI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-engine~rag-web-browser/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-engine-rag-web-browser", "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/scraper-engine~rag-web-browser/runs": { "post": { "operationId": "runs-sync-scraper-engine-rag-web-browser", "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/scraper-engine~rag-web-browser/run-sync": { "post": { "operationId": "run-sync-scraper-engine-rag-web-browser", "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": { "query": { "title": "Search term or URL", "type": "string", "description": "Enter Google Search keywords or a URL of a specific web page. Supports advanced search operators. Examples: san francisco weather, https://www.cnn.com, function calling site:openai.com. Leave empty only when using URLs (optional bulk) below." }, "urls": { "title": "URLs (optional bulk)", "type": "array", "description": "Skip Google Search and scrape these URLs directly. If set, the search term above is ignored.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "The maximum number of top organic Google Search results whose web pages will be extracted. If the query is a URL, this field is ignored and only that page is fetched.", "default": 10 }, "outputFormats": { "title": "Output formats", "uniqueItems": true, "type": "array", "description": "Select one or more formats to which the target web pages will be extracted and saved in the resulting dataset.", "items": { "type": "string", "enum": [ "text", "markdown", "html" ], "enumTitles": [ "Plain text", "Markdown", "HTML" ] }, "default": [ "markdown" ] }, "serpProxyGroup": { "title": "SERP proxy group", "enum": [ "GOOGLE_SERP", "SHADER" ], "type": "string", "description": "Overrides the default Apify Proxy group used for fetching Google Search results.", "default": "GOOGLE_SERP" }, "serpMaxRetries": { "title": "SERP max retries", "minimum": 0, "maximum": 5, "type": "integer", "description": "The maximum number of times the Actor will retry fetching Google Search results on error. If the last attempt fails, the entire search step fails.", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings for scraping target web pages. When enabled, requests start on datacenter proxies. If a site blocks the request, the Actor automatically escalates to residential proxies (up to 3 retries, then stays on residential for the rest of the run).", "default": { "useApifyProxy": true } }, "scrapingTool": { "title": "Select a scraping tool", "enum": [ "raw-http", "browser-playwright" ], "type": "string", "description": "Raw HTTP is fast and works for most static sites. Browser (Playwright) mode is not available in this Python build β€” if selected, Raw HTTP is used instead.", "default": "raw-http" }, "removeElementsCssSelector": { "title": "Remove HTML elements (CSS selector)", "type": "string", "description": "CSS selectors for elements removed from the DOM before conversion to text or Markdown. Set to a non-matching selector like dummy_keep_everything to disable removal.", "default": "nav, footer, script, style, noscript, svg, img[src^='data:'],\n[role=\"alert\"],\n[role=\"banner\"],\n[role=\"dialog\"],\n[role=\"alertdialog\"],\n[role=\"region\"][aria-label*=\"skip\" i],\n[aria-modal=\"true\"]" }, "htmlTransformer": { "title": "HTML transformer", "enum": [ "none", "readable" ], "type": "string", "description": "How to transform HTML after element removal. None keeps the cleaned page; Readable text extracts the main article body.", "default": "none" }, "maxRequestRetries": { "title": "Target page max retries", "minimum": 0, "maximum": 3, "type": "integer", "description": "Per-page retry budget after the first failure, before the page is skipped or proxy escalation continues.", "default": 1 }, "dynamicContentWaitSecs": { "title": "Target page dynamic content timeout", "minimum": 0, "maximum": 60, "type": "integer", "description": "Maximum seconds to wait for dynamic content when using Browser mode. Ignored for Raw HTTP (the default scraping tool in this build).", "default": 10 }, "removeCookieWarnings": { "title": "Remove cookie warnings", "type": "boolean", "description": "Remove cookie consent banners before extraction. Slightly increases processing time.", "default": true }, "debugMode": { "title": "Enable debug mode", "type": "boolean", "description": "Store debugging information (proxy tier, final URL, byte length) in each dataset record under the debug field.", "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 } } } } } } } } } } ```