# Google AI Mode Scraper (`leohryndev/google-ai-mode-scraper`) Actor Scrape Google AI Mode — the conversational search tab — at scale. Full AI answers, comparison tables as structured JSON, every cited source with position. Multi-country. The first dedicated AI Mode scraper on Apify. - **URL**: https://apify.com/leohryndev/google-ai-mode-scraper.md - **Developed by:** [Leo Hryn](https://apify.com/leohryndev) (community) - **Categories:** SEO tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 query scrapeds 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 ## Google AI Mode Scraper — Conversational AI Search Results as JSON Scrape **Google AI Mode** — the conversational, chat-style search experience (the "AI Mode" tab) — at scale. For every query you get the **full AI answer**, any **comparison tables as structured JSON**, and **every cited source** with its position. The first dedicated AI Mode scraper on Apify. AI Mode is where Google is moving search: full AI answers with far fewer outbound clicks, richer than AI Overviews, and increasingly the surface that decides which brands and sites get seen. If you do SEO, GEO/AEO, market research, or competitive intel, this is the data you're currently missing. ### What you get per query ```json { "query": "best project management software", "countryCode": "us", "languageCode": "en", "aiModePresent": true, "answerText": "The best project management software depends on your team size and workflow...", "textBlocks": [ { "type": "text", "text": "..." } ], "tables": [ { "headers": ["Platform", "Best For", "Starting Price"], "rows": [["Asana", "Cross-team work management", "Free; $10.99/user/mo"], ["monday.com", "Visual workflows", "$12/user/mo"]] } ], "citations": [ { "position": 1, "url": "https://www.reddit.com/r/projectmanagement/...", "domain": "reddit.com", "title": "What PM software do you actually use?", "location": "sources_panel" } ], "citationCount": 18 } ```` The comparison tables alone are gold: AI Mode loves building "Platform / Best For / Price" tables for commercial queries — structured competitive positioning, straight from Google's AI, as clean JSON. ### Use cases - **GEO / AEO research** — see which sources Google's most advanced AI surface actually cites in your niche. - **Brand monitoring** — is your product in the answer? In the comparison table? Cited as a source? (For automated brand/competitor analysis, share-of-voice and gap keywords across AI Overviews **and** AI Mode, use the companion Actor: **[Google AI Overview Brand Monitor](https://apify.com/leohryndev/google-ai-overview-brand-monitor)**.) - **Content strategy** — study the exact structure AI Mode prefers (tables, lists, sources) and shape your content to match. - **Datasets & research** — track how conversational search answers evolve over time, per country and language. ### How it works Real browser sessions through **residential proxies in your target country** (default), with automatic session rotation, block detection, and retries. AI Mode streams its answers; the Actor waits for the answer to fully materialize before parsing. Works across countries/languages where AI Mode is available. ### Pricing Pay per query scraped — full answer + tables + all citations included. No subscription. Failed queries are not charged. ### Scheduling & integrations Run on a schedule (Console → Schedules), from the API/SDKs, from n8n/Make/Zapier, or as an **MCP tool** so your AI agents can query AI Mode directly. ### FAQ **Is this legal?** The Actor reads publicly available search result pages — no login, no personal data. Standard SEO-industry practice. **Why do some queries return `aiModePresent: false`?** Google doesn't serve AI Mode answers for every query in every region; the Actor reports it honestly (and you can re-check on a schedule). **How is this different from an AI Overview scraper?** AI Overviews are the summary box on the classic results page. AI Mode is the full conversational tab (`udm=50`) with richer answers, tables, and a different citation set — brands are often cited in one but not the other. This Actor covers AI Mode; the [companion Actor](https://apify.com/leohryndev/google-ai-overview-brand-monitor) covers both plus brand analysis. **What exactly is Google AI Mode?** Google's end-to-end AI search experience, rolled out from 2025: instead of ten blue links with a summary on top, the whole results page is a conversational answer (powered by Gemini) with inline sources, follow-up questions, and comparison tables. It has its own tab in Google Search and its own URL parameter (`udm=50`). **Do AI Mode citations differ from AI Overview citations?** Massively. In our own 25-keyword study the two surfaces shared only ~16% of cited sources. If you're measuring "does Google's AI cite us?", you need both surfaces. **Can I track answers over time?** Yes — schedule the Actor and each run appends dated rows, giving you a time series of how the answer, tables, and cited sources for each keyword evolve. *** *More AI-search tools from this developer: [apify.com/leohryndev](https://apify.com/leohryndev) — AI Overview Brand Monitor (multi-engine), Brave AI Answer Scraper, and more.* *Keywords: Google AI Mode scraper, AI Mode API, scrape Google AI Mode, udm=50, conversational search results, Google AI answers JSON, GEO tool, AEO, AI search citations, generative engine optimization.* # Actor input Schema ## `queries` (type: `array`): Search queries to run in Google AI Mode (one per line). ## `countryCode` (type: `string`): Google country (gl parameter + proxy country). Two-letter code, e.g. `us`, `gb`, `de`, `es`. ## `languageCode` (type: `string`): Google UI language (hl parameter), e.g. `en`, `de`, `es`. ## `maxConcurrency` (type: `integer`): How many queries to process in parallel. ## `debugSaveHtml` (type: `boolean`): Store fetched AI Mode HTML into the key-value store for troubleshooting. ## `proxyConfiguration` (type: `object`): Residential proxies in the target country are strongly recommended (default). ## Actor input object example ```json { "queries": [ "best project management software" ], "countryCode": "us", "languageCode": "en", "maxConcurrency": 3, "debugSaveHtml": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "queries": [ "best project management software" ] }; // Run the Actor and wait for it to finish const run = await client.actor("leohryndev/google-ai-mode-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 = { "queries": ["best project management software"] } # Run the Actor and wait for it to finish run = client.actor("leohryndev/google-ai-mode-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 '{ "queries": [ "best project management software" ] }' | apify call leohryndev/google-ai-mode-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leohryndev/google-ai-mode-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google AI Mode Scraper", "description": "Scrape Google AI Mode — the conversational search tab — at scale. Full AI answers, comparison tables as structured JSON, every cited source with position. Multi-country. The first dedicated AI Mode scraper on Apify.", "version": "1.0", "x-build-id": "99rGDvNL2tr5efiAo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leohryndev~google-ai-mode-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leohryndev-google-ai-mode-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leohryndev~google-ai-mode-scraper/runs": { "post": { "operationId": "runs-sync-leohryndev-google-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leohryndev~google-ai-mode-scraper/run-sync": { "post": { "operationId": "run-sync-leohryndev-google-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Queries", "minItems": 1, "type": "array", "description": "Search queries to run in Google AI Mode (one per line).", "items": { "type": "string" } }, "countryCode": { "title": "Country", "pattern": "^[a-zA-Z]{2}$", "type": "string", "description": "Google country (gl parameter + proxy country). Two-letter code, e.g. `us`, `gb`, `de`, `es`.", "default": "us" }, "languageCode": { "title": "Language", "type": "string", "description": "Google UI language (hl parameter), e.g. `en`, `de`, `es`.", "default": "en" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many queries to process in parallel.", "default": 3 }, "debugSaveHtml": { "title": "Save raw HTML (debug)", "type": "boolean", "description": "Store fetched AI Mode HTML into the key-value store for troubleshooting.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies in the target country are strongly recommended (default).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```