What is TalorData?
TalorData is a powerful SERP API that delivers structured search data from Google, Bing, Yandex, and DuckDuckGo in under 0.8 seconds. Designed for AI agents, SEO monitoring, RAG pipelines, and competitor analysis, it provides clean JSON output that agents can parse, cite, and act on. The API handles proxy management, CAPTCHA resolution, and search result collection, eliminating the need for teams to maintain complex scraping infrastructure.
Key features include multi-engine support, ultra-fast P90 response times under 0.8 seconds, and structured JSON output. Users can configure requests by search engine, country, region, language, and device to retrieve localized results from 195+ countries and regions. This makes TalorData ideal for powering AI agents with real-time, source-linked search data, enabling information retrieval, source verification, tool use, and multi-step task execution.
Use cases range from AI agent integration (with frameworks like Claude, OpenAI, LangChain, and CrewAI via MCP, SDKs, or APIs) to SEO monitoring, research automation, BI workflows, and webhook-based systems. The API supports quick-start examples in Python, Node.js, cURL, and Go, making it easy to get started.
Pricing is usage-based, starting at $0.25 per 1,000 responses for pay-as-you-go plans, or $0.65 per GB for large-scale data collection. You only pay for successful responses, ensuring cost efficiency. TalorData is built for both side projects and growing products, offering stable, scalable data collection.
Technical details: The API returns structured JSON with fields for title, URL, snippet, position, and more. It supports multiple search engines and parameters like country code, language, and device type. The service ensures high reliability with built-in proxy rotation and CAPTCHA handling, so you can focus on building applications without worrying about infrastructure. Whether you need to power an AI agent, monitor SEO rankings, or collect global search data, TalorData provides a simple, unified solution.
Use Cases
Key Features
multi engine support ultra fast response times structured JSON output proxy management CAPTCHA resolution localized search results AI agent integration SEO monitoringWho is it for?
AI agents, SEO specialists, data scientists, developers, researchers, product teams, BI analysts
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