# ScrapeGraphAI — AI-Powered Web Scraper (`ntriqpro/scrapegraph-ai-actor`) Actor Extract structured data from any webpage using ScrapeGraphAI's LLM-based smart scraping. Supports SmartScraper, Markdownify, and SearchScraper modes. - **URL**: https://apify.com/ntriqpro/scrapegraph-ai-actor.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 successful scrapes 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 ### What does ScrapeGraphAI — AI-Powered Web Scraper do? **ScrapeGraphAI** uses large language models (LLMs) to intelligently extract structured data from any webpage — no CSS selectors or XPath needed. Just describe what you want in plain English. This Actor wraps the [ScrapeGraphAI cloud API](https://dashboard.scrapegraphai.com/) and supports three powerful modes: - **SmartScraper** — Extract specific data using a natural language prompt - **Markdownify** — Convert any webpage into clean Markdown - **SearchScraper** — Search-based scraping using a natural language query ### Why use ScrapeGraphAI? - **No fragile selectors** — LLM understands page content semantically - **Works on any page** — news, e-commerce, SaaS, documentation, blogs - **Three modes** — cover extraction, conversion, and search use cases - **Structured JSON output** — results stored in Apify Dataset, downloadable as JSON/CSV/Excel ### How to use ScrapeGraphAI 1. **Get your API key** at [dashboard.scrapegraphai.com](https://dashboard.scrapegraphai.com/) 2. Open this Actor and paste your API key in the **ScrapeGraphAI API Key** field 3. Choose a **mode** (SmartScraper, Markdownify, or SearchScraper) 4. Enter the **URL** and/or a natural language **prompt** 5. Click **Run** and get your structured data in seconds ### Input | Field | Required | Description | |-------|----------|-------------| | `apiKey` | ✅ | Your ScrapeGraphAI API key | | `mode` | ✅ | `smartscraper`, `markdownify`, or `searchscraper` | | `url` | For smartscraper / markdownify | URL of the page to scrape | | `prompt` | For smartscraper / searchscraper | Natural language description of data to extract | #### Example input (SmartScraper) ```json { "apiKey": "sgai-...", "mode": "smartscraper", "url": "https://news.ycombinator.com", "prompt": "Extract the top 10 post titles, authors, and point counts" } ```` #### Example input (Markdownify) ```json { "apiKey": "sgai-...", "mode": "markdownify", "url": "https://docs.apify.com/platform/actors" } ``` ### Output Results are stored in the **Apify Dataset**. You can download them as JSON, CSV, Excel, or XML. #### Example output (SmartScraper) ```json { "mode": "smartscraper", "url": "https://news.ycombinator.com", "prompt": "Extract the top 10 post titles and point counts", "result": { "posts": [ { "title": "Show HN: My new project", "points": 342 }, { "title": "Ask HN: Best practices for X", "points": 210 } ] }, "scrapedAt": "2026-04-16T12:00:00.000Z" } ``` ### Pricing / Cost estimation This Actor charges **$0.01 per successful scrape** (Apify processing fee). ScrapeGraphAI API costs are billed separately on your ScrapeGraphAI account. Typical run cost: **$0.01 per page**. ### Tips - **SmartScraper** works best with specific prompts — "Extract product name, price, and availability" beats "Get info" - **Markdownify** is ideal for feeding webpage content into LLM pipelines - **SearchScraper** does not require a URL — it finds and scrapes relevant pages automatically ### Disclaimer and support This Actor calls the ScrapeGraphAI API. Usage is subject to [ScrapeGraphAI's Terms of Service](https://scrapegraphai.com/). Always ensure you have the right to scrape your target websites. For issues or feature requests, open a ticket in the **Issues** tab. *** ### 🔗 Related Actors by ntriqpro Extend this actor with the ntriqpro intelligence network: - [**video-intelligence-analyzer**](https://apify.com/ntriqpro/video-intelligence-analyzer) — Video/image AI analyzer (transcripts, scenes, objects) - [**vehicle-damage-assessment**](https://apify.com/ntriqpro/vehicle-damage-assessment) — Vehicle damage AI assessment - [**table-chart-extractor**](https://apify.com/ntriqpro/table-chart-extractor) — Table and chart data extraction ### ⭐ Love it? Leave a Review Your rating helps professionals discover this actor. [Rate it here](https://apify.com/ntriqpro/scrapegraph-ai-actor/reviews). # Actor input Schema ## `apiKey` (type: `string`): Your ScrapeGraphAI API key. Get one at https://dashboard.scrapegraphai.com/ ## `mode` (type: `string`): Choose the scraping mode: smartscraper (LLM extraction), markdownify (convert to markdown), or searchscraper (search-based scraping). ## `url` (type: `string`): The URL of the webpage to scrape. Required for smartscraper and markdownify modes. ## `prompt` (type: `string`): Natural language prompt describing what data to extract. Required for smartscraper and searchscraper modes. Example: 'Extract the product name, price, and description' ## Actor input object example ```json { "mode": "smartscraper", "url": "https://www.apify.com/", "prompt": "Extract the main content, title, and key information from this page." } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "mode": "smartscraper", "url": "https://www.apify.com/", "prompt": "Extract the main content, title, and key information from this page." }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/scrapegraph-ai-actor").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 = { "mode": "smartscraper", "url": "https://www.apify.com/", "prompt": "Extract the main content, title, and key information from this page.", } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/scrapegraph-ai-actor").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 '{ "mode": "smartscraper", "url": "https://www.apify.com/", "prompt": "Extract the main content, title, and key information from this page." }' | apify call ntriqpro/scrapegraph-ai-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/scrapegraph-ai-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ScrapeGraphAI — AI-Powered Web Scraper", "description": "Extract structured data from any webpage using ScrapeGraphAI's LLM-based smart scraping. Supports SmartScraper, Markdownify, and SearchScraper modes.", "version": "1.0", "x-build-id": "g4KQHW6MjfrJ5HEjW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~scrapegraph-ai-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-scrapegraph-ai-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~scrapegraph-ai-actor/runs": { "post": { "operationId": "runs-sync-ntriqpro-scrapegraph-ai-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~scrapegraph-ai-actor/run-sync": { "post": { "operationId": "run-sync-ntriqpro-scrapegraph-ai-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "apiKey", "mode" ], "properties": { "apiKey": { "title": "ScrapeGraphAI API Key", "type": "string", "description": "Your ScrapeGraphAI API key. Get one at https://dashboard.scrapegraphai.com/" }, "mode": { "title": "Scraping Mode", "enum": [ "smartscraper", "markdownify", "searchscraper" ], "type": "string", "description": "Choose the scraping mode: smartscraper (LLM extraction), markdownify (convert to markdown), or searchscraper (search-based scraping)." }, "url": { "title": "URL", "type": "string", "description": "The URL of the webpage to scrape. Required for smartscraper and markdownify modes." }, "prompt": { "title": "Prompt", "type": "string", "description": "Natural language prompt describing what data to extract. Required for smartscraper and searchscraper modes. Example: 'Extract the product name, price, and description'" } } }, "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 } } } } } } } } } } ```