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Managed SERP API for Google, Bing, Yandex and more. Get live browser-rendered search results through a single API with data extraction.
OpenSERP is an open-source, MIT-licensed SERP (search engine results page) API written in Go that returns structured search results from Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia through a single REST endpoint. It handles browser automation, multi-engine parsing, and retry logic, returning consistent JSON output (with Markdown, TXT, and NDJSON options) that includes titles, URLs, snippets, rank, and SERP features such as AI summaries, answer boxes, people-also-ask, and related searches. It can be self-hosted with a Docker image or Go binary, with no API keys and no rate limits beyond the host machine's own limits, and is also distributed via NPM, PyPI, MCP, and n8n.
OpenSERP Cloud is the managed counterpart: a hosted API endpoint that removes the need to run the infrastructure yourself, authenticated with bearer-token API keys, using pay-as-you-go credits with no subscription, and offering free starter credits at signup along with multi-engine, image, and megasearch endpoints.
The product targets developers and product teams integrating live search data into apps, dashboards, or AI agents; SEO teams and agencies tracking rankings and competitors across Google, Yandex, Baidu, and Bing; and research and AI pipelines that ground LLM responses, RAG retrieval, or agent workflows on live multi-engine search results, including Yandex and Baidu coverage.
Yes, OpenSERP is MIT-licensed open-source software you can self-host for free with no API keys or per-query fees. OpenSERP Cloud is an optional managed version with pay-as-you-go pricing.
It supports Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia for web and image search.
No key is needed for the self-hosted open-source version, while OpenSERP Cloud uses bearer-token API keys to meter usage and bill credits.
You start a local REST server using the Docker image or Go binary, with full installation and configuration details in the docs.
It fits developers and product teams building AI agents or dashboards, SEO teams tracking rankings and competitors, and research or AI pipelines needing live multi-engine search data.
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