# Web Search (`desearch/web-search`) Actor This Actor allows users to search for any information over the web. This replicates a typical search engine experience, where users can search for any information they need. - **URL**: https://apify.com/desearch/web-search.md - **Developed by:** [Desearch](https://apify.com/desearch) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 328 total users, 4 monthly users, 100.0% runs succeeded, 11 bookmarks - **User rating**: 4.22 out of 5 stars ## Pricing $0.25 / 1,000 results 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 ## Desearch Web Search > 📢 **AI-powered web search from multiple sources – now on Apify!** [![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue?logo=apify)](https://apify.com) [![Made with ❤️](https://img.shields.io/badge/Made%20with-%E2%9D%A4-red)](https://desearch.ai) --- ### 🚀 Overview **Desearch Web Search (SERP) - Apify** is an actor that enables you to perform real-time AI-powered web searches. Powered by Desearch's intelligent search engine [Desearch.ai](https://console.desearch.ai/), it retrieves results from various online sources including **news**, **blogs**, **Twitter**, and more — all delivered in a structured JSON format. --- ### 🛠 Features ✅ AI-enhanced **web search** ✅ Retrieves **titles**, **links**, **snippets**, and **optional dates** ✅ Supports **pagination** with the `start` parameter ✅ Optimized for **Apify automation** ✅ Clean **JSON output** format --- ### 📌 Input Parameters | Parameter | Type | Required | Description | |-----------|---------|----------|-------------| | `query` | String | ✅ Yes | The search term you want to query (e.g., `"latest AI tools"`) | | `num` | Integer | ❌ No | Number of results to return (default: `100`, max: `100`) | | `start` | Integer | ❌ No | Starting index of results (use for pagination) | --- ### 📤 Output Format Results are returned as a JSON array like this: ```json [ { "title": "Common AI Models and When to Use Them? - GeeksforGeeks", "snippet": "An AI model is a computational representation or framework that is designed to perform specific tasks or functions by learning from data...", "link": "https://www.geeksforgeeks.org/common-ai-models-and-when-to-use-them/", "date": null }, { "title": "Understanding GPT Models: A Guide - OpenAI Blog", "snippet": "GPT models are a type of language model developed by OpenAI that use deep learning to produce human-like text...", "link": "https://openai.com/blog/understanding-gpt", "date": "2024-12-12" } ] ```` *** ### 📈 Use Cases 💡 **Market Research:** Discover trends and insights\ 💡 **SEO & Content Strategy:** Gather article ideas and keywords\ 💡 **Brand Monitoring:** Track mentions of brands or topics\ 💡 **Academic Research:** Find articles and sources *** ### 🚀 Get Started 1. Open the **Apify Actor UI** 2. Enter your `query` and other parameters 3. Run the actor 4. Download results from the dataset in **structured JSON format** *** ### 🛠 Support For documentation and help, visit [📘 Desearch Docs](https://docs.desearch.ai/guides/capabilities/web-search)\ For issues, open a ticket on [GitHub](https://github.com/your-username/desearch-web-search/issues) *** ### 🧠 Powered By - [Desearch AI Web Search](https://desearch.ai) - [Apify SDK](https://sdk.apify.com) - [Node.js](https://nodejs.org) # Actor input Schema ## `query` (type: `string`): The search query to be executed by Datura AI. ## `num` (type: `integer`): The number of search results to retrieve. ## `start` (type: `integer`): The starting index for the search results. ## Actor input object example ```json { "query": "Latest advancements in AI research", "num": 100, "start": 1 } ``` # 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": "Latest advancements in AI research" }; // Run the Actor and wait for it to finish const run = await client.actor("desearch/web-search").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 = { "query": "Latest advancements in AI research" } # Run the Actor and wait for it to finish run = client.actor("desearch/web-search").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 '{ "query": "Latest advancements in AI research" }' | apify call desearch/web-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=desearch/web-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Web Search", "description": "This Actor allows users to search for any information over the web. This replicates a typical search engine experience, where users can search for any information they need.", "version": "0.1", "x-build-id": "k6XeTo9rloQZbom9p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/desearch~web-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-desearch-web-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/desearch~web-search/runs": { "post": { "operationId": "runs-sync-desearch-web-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/desearch~web-search/run-sync": { "post": { "operationId": "run-sync-desearch-web-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "minLength": 1, "type": "string", "description": "The search query to be executed by Datura AI." }, "num": { "title": "Number of Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "The number of search results to retrieve.", "default": 100 }, "start": { "title": "Start Index", "type": "integer", "description": "The starting index for the search results.", "default": 1 } } }, "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 } } } } } } } } } } ```