# Grok Scraper (`hospitable_luck/grok-scraper`) Actor Bypasses Anti-Bot detection, Queries and Scrapes Grok guest chat responses via Playwright with stealth evasion and Apify proxy rotation. - **URL**: https://apify.com/hospitable\_luck/grok-scraper.md - **Developed by:** [hospitable\_luck](https://apify.com/hospitable_luck) (community) - **Categories:** SEO tools, AI, Automation - **Stats:** 2 total users, 0 monthly users, 66.7% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.005 / result-item 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 ## Grok Scraper Apify Actor that sends a prompt to [Grok](https://grok.com) as a guest user and returns the parsed chat response to the run **Dataset**. No Grok account is required. ### What it does 1. Opens Grok in a stealth Playwright browser through an Apify proxy in your chosen country. 2. Aligns browser locale, timezone, and language headers with that country. 3. Waits for Grok’s session handshake, types your prompt, and submits it. 4. Captures the `POST /rest/app-chat/conversations/new` response. 5. Parses the NDJSON stream into structured JSON and saves one record to the Dataset. On failure (rate limits, timeouts), the Actor retries with a new proxy session and browser profile (up to 10 attempts). ### Input | Field | Required | Default | Description | |-------|----------|---------|-------------| | `prompt` | yes | — | Question or instruction for Grok | | `country` | yes | `US` | Proxy country and browser locale (see list below) | | `useResidentialProxy` | no | `true` | Use residential proxies; set `false` for datacenter | | `includeHtml` | no | `false` | Add the full Grok page HTML to the output | **Supported countries:** `US`, `GB`, `DE`, `FR`, `CA`, `AU`, `IT`, `ES`, `NL`, `BR`, `IN`, `JP`, `MX`, `PL`, `SE` Example: ```json { "prompt": "What is the cheapest electric car?", "country": "US", "useResidentialProxy": true, "includeHtml": false } ```` ### Output One Dataset record per run: ```json { "text": "Assistant reply with citation tags stripped…", "searchQueries": ["cheapest electric car 2026"], "sources": [ { "position": 1, "url": "https://example.com/article", "label": "Article title", "siteName": "example.com" } ], "model": "grok-3" } ``` If `includeHtml` is `true`, an `html` field is added with the full page source. ### Run on Apify 1. Push the Actor: `apify push` 2. Open the Actor in [Apify Console](https://console.apify.com) 3. Fill in the input form and start a run 4. Open the **Dataset** tab for the result Or from the CLI: ```bash apify login apify push apify call -i '{"prompt":"What is the cheapest electric car?","country":"US"}' ``` **Requirements:** Apify proxy enabled on your account (residential recommended). ### Run locally ```bash npm install npx playwright install chromium cp .env.example .env ## add your APIFY_TOKEN ``` **Option A — environment variable:** ```bash APIFY_INPUT='{"prompt":"What is the cheapest electric car?","country":"US"}' npm run start:dev ``` **Option B — input file:** ```bash mkdir -p storage/key_value_stores/default cp .actor/INPUT.example.json storage/key_value_stores/default/INPUT.json npm run start:dev ``` Results are saved to `storage/datasets/default/*.json` (not printed to the terminal). ```bash cat storage/datasets/default/*.json | jq . ``` Optional local settings (in `.env`): - `HEADLESS=false` — show the browser window while debugging - `DEBUG=1` — verbose scraper logs ### Project scripts | Command | Description | |---------|-------------| | `npm run start:dev` | Run the Actor locally (TypeScript) | | `npm run build` | Compile to `dist/` | | `npm start` | Run compiled Actor (`dist/main.js`) | | `npm run typecheck` | TypeScript check | ### Tags Grok scraper, LLM ui chat scraper, stealth grok scraper, anti-bot detection, Gemini scraper, Chatgpt scraper, GEO, SEO, AEO # Actor input Schema ## `prompt` (type: `string`): The question or instruction to send to Grok. ## `country` (type: `string`): Proxy exit country and browser locale/timezone. Must match one of the supported values. ## `useResidentialProxy` (type: `boolean`): When true (default), route traffic through Apify residential proxies. Set false for datacenter proxies. ## `includeHtml` (type: `boolean`): When true, include the full Grok page HTML in the dataset output alongside the parsed JSON response. ## Actor input object example ```json { "prompt": "What is the most expensive car brand?", "country": "US", "useResidentialProxy": true, "includeHtml": 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 = { "prompt": "What is the most expensive car brand?" }; // Run the Actor and wait for it to finish const run = await client.actor("hospitable_luck/grok-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 = { "prompt": "What is the most expensive car brand?" } # Run the Actor and wait for it to finish run = client.actor("hospitable_luck/grok-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 '{ "prompt": "What is the most expensive car brand?" }' | apify call hospitable_luck/grok-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hospitable_luck/grok-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grok Scraper", "description": "Bypasses Anti-Bot detection, Queries and Scrapes Grok guest chat responses via Playwright with stealth evasion and Apify proxy rotation.", "version": "1.0", "x-build-id": "gBJnh6If1xhtLcUEB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hospitable_luck~grok-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hospitable_luck-grok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hospitable_luck~grok-scraper/runs": { "post": { "operationId": "runs-sync-hospitable_luck-grok-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hospitable_luck~grok-scraper/run-sync": { "post": { "operationId": "run-sync-hospitable_luck-grok-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "prompt", "country" ], "properties": { "prompt": { "title": "Prompt", "type": "string", "description": "The question or instruction to send to Grok." }, "country": { "title": "Country", "enum": [ "US", "GB", "DE", "FR", "CA", "AU", "IT", "ES", "NL", "BR", "IN", "JP", "MX", "PL", "SE" ], "type": "string", "description": "Proxy exit country and browser locale/timezone. Must match one of the supported values.", "default": "US" }, "useResidentialProxy": { "title": "Use residential proxy", "type": "boolean", "description": "When true (default), route traffic through Apify residential proxies. Set false for datacenter proxies.", "default": true }, "includeHtml": { "title": "Include page HTML", "type": "boolean", "description": "When true, include the full Grok page HTML in the dataset output alongside the parsed JSON response.", "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 } } } } } } } } } } ```