# Futurepedia Search Scraper (`easyapi/futurepedia-search-scraper`) Actor Search Futurepedia AI tools by keyword. Extract tool names, descriptions, pricing, ratings, categories, and website links via the search API. ๐Ÿค– - **URL**: https://apify.com/easyapi/futurepedia-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** AI, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ## Futurepedia Search Scraper Discover and collect AI tools from [Futurepedia](https://www.futurepedia.io), one of the largest AI tool directories online. Enter any keywordโ€”such as image, video, chatbot, or writingโ€”and export a clean list of matching tools with the details you need for research, comparison, and decision-making. Whether you are building an AI tools list, scouting competitors, or tracking what is trending in a niche, this Actor helps you turn Futurepedia search results into structured data you can analyze, filter, and share. ### Who Is This For? - **Marketers & growth teams** researching AI products and positioning - **Founders & product managers** mapping the competitive landscape - **Analysts & consultants** building market reports and client deliverables - **Content creators & directory owners** curating AI tool roundups and reviews - **Investors & researchers** tracking category growth and popular tools ### What You Can Do - Search Futurepedia by keyword to find relevant AI tools fast - Collect tool names, descriptions, pricing models, and official websites - Compare popularity, user favorites, and ratings across results - Run multiple keywords in one job to cover an entire category - Export results for spreadsheets, dashboards, or downstream workflows ### What You Get Each result includes practical fields such as: - Tool name and short description - Pricing information (e.g. Free, Freemium, Paid) - Popularity score and favorite count - Category and platform details - Links to the tool page on Futurepedia and the official website - Search keyword and collection timestamp ### How to Use 1. Enter a **search keyword** (for example: `image`, `SEO`, `customer support`) 2. Set how many results you want to collect 3. Run the Actor and download your dataset You can also provide a list of keywords to search several topics in a single run. ### Input Example ```json { "query": "image", "maxItems": 100 } ```` ### Output Example Each search result is saved as one dataset record: ```json { "query": "image", "page": 1, "perPage": 12, "totalCount": 5557, "searchUrl": "https://www.futurepedia.io/search?search=image", "itemUrl": "https://www.futurepedia.io/tool/google-gemini", "scrapedAt": "2026-07-09T06:10:00.000Z", "id": "773b5fff-9b97-4969-9086-f181fbac7317", "toolName": "Google Gemini", "toolShortDescription": "Multimodal reasoning across text, images, audio, and video.", "websiteUrl": "https://gemini.google.com/?utm_source=futurepedia&utm_medium=marketplace&utm_campaign=futurepedia", "pricing": ["Freemium"], "popularityScore": 1350, "favCount": 1310, "ratingBreakdown": { "accuracy": 4.8, "ease_of_use": 4.2, "features": 4.7, "speed": 4.5, "support": 4, "value": 4.1 } } ``` ### Popular Use Cases - **AI market research** โ€” Understand what tools dominate a category - **Competitive analysis** โ€” Compare offerings, pricing, and positioning - **Lead generation** โ€” Build outreach lists for partnerships or sales - **Content & SEO** โ€” Create โ€œbest AI tools for Xโ€ articles backed by real data - **Product discovery** โ€” Find alternatives before buying or integrating a tool - **Directory building** โ€” Populate internal or public AI tool catalogs ### Why Futurepedia? Futurepedia is a go-to source for discovering AI software across categories like image generation, automation, productivity, marketing, and more. This Actor saves hours of manual copying and helps you keep your AI tool research accurate, repeatable, and up to date. # Actor input Schema ## `query` (type: `string`): Keyword to search on Futurepedia, e.g. image ## `queries` (type: `array`): Optional batch of search keywords. If provided, query is ignored. ## `maxItems` (type: `integer`): Maximum number of search results to collect ## `proxyConfiguration` (type: `object`): Proxy settings for the actor ## Actor input object example ```json { "query": "image", "queries": [], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": 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 = { "query": "image", "queries": [], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/futurepedia-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "image", "queries": [], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("easyapi/futurepedia-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "image", "queries": [], "maxItems": 100 }' | apify call easyapi/futurepedia-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/futurepedia-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Futurepedia Search Scraper", "description": "Search Futurepedia AI tools by keyword. Extract tool names, descriptions, pricing, ratings, categories, and website links via the search API. ๐Ÿค–", "version": "0.0", "x-build-id": "PhPz64AooVkbqyBSD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~futurepedia-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-futurepedia-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~futurepedia-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-futurepedia-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~futurepedia-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-futurepedia-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Keyword to search on Futurepedia, e.g. image", "default": "image" }, "queries": { "title": "Search queries", "type": "array", "description": "Optional batch of search keywords. If provided, query is ignored.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of search results to collect", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the actor", "default": { "useApifyProxy": 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 } } } } } } } } } } ```