OpenSERP is a self-hosted REST API that pulls structured search results from six major search engines through a single, consistent endpoint. It's built for developers, SEO teams, and AI pipelines that need programmatic access to live SERP data without paying per-query fees or accepting vendor lock-in.

The self-hosted version is completely free. No API keys, no rate limits beyond your own hardware, no subscription. One Docker command starts a local server you can query immediately from any app, script, or pipeline.

What it returns is consistent JSON across every engine: titles, URLs, snippets, rank positions, and SERP features including AI summaries, answer boxes, people-also-ask, and related searches. Output can also be requested as Markdown, plain text, or NDJSON.

Key capabilities:

• Six engines supported: Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia for web and image search
• Uniform response shape: the same JSON envelope regardless of which engine you query, so switching or combining engines requires no extra parsing logic
• SERP feature extraction: captures AI summaries, answer boxes, and related searches alongside organic results
• MIT license: full source on GitHub, deploy on any infrastructure you already run
• Multi-engine megasearch: the managed Cloud tier adds endpoints that query several engines in a single call

Common use cases include SEO rank tracking across regional engines like Yandex and Baidu, grounding LLM responses with live search data, feeding Firecrawl-style scraping pipelines, and competitor monitoring. It's a direct open-source alternative to paid providers like DataForSEO.

For teams that don't want to manage infrastructure, OpenSERP Cloud offers the same API as a managed endpoint with free starter credits and pay-as-you-go pricing. The open-source version and the cloud path share the same underlying codebase.