FAQ
OpenSERP, explained.
What it does, why you might need it, and how it fits alongside other tools for working with web data.
OpenSERP basics
What is OpenSERP?
OpenSERP is an open-source search API and command-line tool. It queries search engines and returns structured results for your application. SERP means Search Engine Results Page. OpenSERP gives you programmatic access to those results; it does not maintain its own web search index.
What does it do, and why would I use it?
Use it to add web search to an app, collect sources for an AI assistant, research competitors, or track search rankings. It brings search results into one interface so you do not have to build a separate parser for each engine. Cloud also offers scheduled Search Monitor runs and AI reports.
Which engines and data can I work with?
OpenSERP supports Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia. Results include titles, URLs, snippets, and positions. Image search, multi-engine search, and page content extraction support further workflows. Rich SERP fields depend on the engine and response; not every result includes every field.
Comparing tools
How is it different from a scraper or crawler?
A scraper extracts data from a page; a crawler follows links across a site. OpenSERP starts with a search query and returns results from search engines. You can then extract content from selected URLs. For a full-site crawl, browser interactions, or site-specific fields, a dedicated scraping tool may be a better fit.
How does it compare with SerpApi and other SERP APIs?
These tools share a goal: making search results available through an API. OpenSERP offers an MIT-licensed engine you can run yourself and a separate managed Cloud service. Compare providers using the engines, regions, result fields, reliability, limits, and total cost your project needs. Their request parameters and response formats are not necessarily interchangeable.
Is it a replacement for Firecrawl or Tavily?
There is overlap: Firecrawl offers search, scraping, and browser interaction, while Tavily offers search, extraction, and research tools for AI workflows. OpenSERP focuses on structured search-engine results, with extraction and Cloud monitoring alongside them. Choose by the workflow: engine-specific results, site content, or a research process. Test your own queries before switching.
Getting started
What is the difference between self-hosting and Cloud?
With the open-source version, you run OpenSERP on your infrastructure using Docker or a Go binary. You manage updates, network access, and operations. OpenSERP Cloud provides a hosted API and dashboard, including API keys, usage, billing, and monitoring. Cloud features are not all part of the open-source engine.
Is OpenSERP free?
The MIT-licensed software is free to use and modify; self-hosting still has infrastructure and maintenance costs. Cloud is a separate paid service with starter credits and usage-based billing. Check the pricing page for current rates and billing rules for each operation.
Do I need to write code or create an API key?
You can try Cloud searches in the dashboard Playground after signing in, without creating an API key. Use a Cloud API key when connecting your application, SDK, MCP client, or n8n workflow. For self-hosting, follow the installation guide and configure access to your own instance.
Will results always match what I see in my browser?
Not necessarily. Search results change with time, region, language, personalization, and engine availability. A request can fail or return fewer results than expected, and page extraction may be incomplete. Test representative queries and keep the engine and region consistent when comparing rankings.