# Structured AI web scraper (`interfaze/apify-actors`) Actor Extract structured data or markdown of any website on the web using interfaze.ai model that will figure out proxy rotation, bot checks and bypass everything to get you the data you want based on your prompt - **URL**: https://apify.com/interfaze/apify-actors.md - **Developed by:** [Interfaze.ai](https://apify.com/interfaze) (community) - **Categories:** AI, Automation, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $90.00 / 1,000 web scraped 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 ## Web Scraper Self-healing AI web scraper using [Interfaze](https://interfaze.ai). Scrape any website with natural language prompts -- no selectors, no brittle scripts. Built-in residential proxies, bot block handling, and AI human behavior simulation. ### What it does This actor takes a URL and an optional extraction prompt, then returns structured data from the page. It uses Interfaze's `scraper` run task which automatically handles JavaScript rendering, anti-bot protections, and dynamic content. When selectors break or pages change, the AI adapts -- no maintenance needed. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `url` | string | Yes | The URL to scrape | | `extractionPrompt` | string | No | Describe what data to extract. Defaults to extracting all content | | `interfazeApiKey` | string | No | Your own Interfaze API key. If not provided, the actor uses its built-in key | ### Example input ```json { "url": "https://news.ycombinator.com", "extractionPrompt": "Extract post titles and points" } ```` ### Output The actor returns raw structured scraped content with both extracted data and the underlying HTML elements: ```json { "name": "ai_scraper", "result": { "scraped_content": { "title": [ "AI-Assisted Cognition Endangers Human Development", "Open Source Isn't Dead. Cal.com Just Learned the Wrong Lesson", "Google Broke Its Promise to Me. Now ICE Has My Data" ], "points": ["258 points", "197 points", "142 points"] }, "scraped_elements": [...] } } ``` ### Use cases - Price monitoring and comparison - News and content aggregation - E-commerce product data extraction - Real estate listing scraping - Job posting collection - Any website where traditional scrapers break ### API key You can optionally provide your own Interfaze API key in the input. Get one at [interfaze.ai/dashboard](https://interfaze.ai/dashboard). # Actor input Schema ## `url` (type: `string`): The URL to scrape. ## `extractionPrompt` (type: `string`): Describe what data to extract from the page. If empty, extracts all content. ## `interfazeApiKey` (type: `string`): Optional. Your own Interfaze API key. If not provided, the actor uses its built-in key. Get your own at https://interfaze.ai/dashboard ## Actor input object example ```json { "url": "https://news.ycombinator.com", "extractionPrompt": "Extract post titles and points" } ``` # 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 = { "url": "https://news.ycombinator.com", "extractionPrompt": "Extract post titles and points" }; // Run the Actor and wait for it to finish const run = await client.actor("interfaze/apify-actors").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 = { "url": "https://news.ycombinator.com", "extractionPrompt": "Extract post titles and points", } # Run the Actor and wait for it to finish run = client.actor("interfaze/apify-actors").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 '{ "url": "https://news.ycombinator.com", "extractionPrompt": "Extract post titles and points" }' | apify call interfaze/apify-actors --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=interfaze/apify-actors", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Structured AI web scraper", "description": "Extract structured data or markdown of any website on the web using interfaze.ai model that will figure out proxy rotation, bot checks and bypass everything to get you the data you want based on your prompt", "version": "0.0", "x-build-id": "LY8foG9yAglbxBKGv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/interfaze~apify-actors/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-interfaze-apify-actors", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/interfaze~apify-actors/runs": { "post": { "operationId": "runs-sync-interfaze-apify-actors", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/interfaze~apify-actors/run-sync": { "post": { "operationId": "run-sync-interfaze-apify-actors", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "URL", "type": "string", "description": "The URL to scrape." }, "extractionPrompt": { "title": "Extraction Prompt", "type": "string", "description": "Describe what data to extract from the page. If empty, extracts all content." }, "interfazeApiKey": { "title": "Interfaze API Key", "type": "string", "description": "Optional. Your own Interfaze API key. If not provided, the actor uses its built-in key. Get your own at https://interfaze.ai/dashboard" } } }, "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 } } } } } } } } } } ```