OpenSERP

OpenSERP Cloud is a managed SERP API that provides structured JSON results from multiple search engines including Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia. It eliminates the need for users to run their own scraping infrastructure, handling browser automation, multi-engine parsing, and retries automatically. The service is built on the open-source OpenSERP engine, ensuring the same coverage and data quality without operational overhead. Users can perform single-engine searches, image searches, or a unique 'megasearch' that queries all supported engines at once. This multi-engine capability is especially valuable for SEO rank tracking, where seeing positions across different engines is critical, and for AI pipelines that need to verify sources by consensus to reduce hallucinations. The API returns clean, structured JSON with detailed result metadata, pagination support, and error handling. OpenSERP Cloud offers a free tier with credits to start, and a pay-as-you-go model at $0.009 per 10 returned web results. There are no subscriptions, minimums, or expiration of credits, and errors are not charged. SDKs are available for Node.js (NPM), Python (PyPI), and integrations for MCP servers and n8n workflows, making it easy to embed into applications and automation.

Category: Apis
Pricing: Free

Problem solved

OpenSERP Cloud solves the challenge of reliably scraping search engine results pages at scale without the complexity of managing headless browsers, proxies, and parsing logic. It abstracts away the infrastructure burden, allowing teams to access fresh, structured search data via a simple API.

Use cases

SEO rank tracking across multiple engines
Grounding LLM responses with verified search results
Competitor analysis and keyword monitoring
Building search-powered features in applications
Research data collection from web search indices
Automating marketing and content workflows

Audience

Developers
ML Engineers
Data Scientists
Product Managers
Researchers

Pros

No infrastructure to manage
Multi-engine search in a single call
Pay-as-you-go with free credits to start
Errors are not charged
Built on battle-tested open-source engine

Cons

Limited to six search engines
Cost per result can add up at scale
No on-premise or self-hosted option for the managed service
Free tier may be insufficient for heavy use
Dependent on third-party service uptime

Official website: https://openserp.org/cloud

Canonical LambdaBase page: https://www.lambdabase.com/tools/openserp

← Directory

OpenSERP

Free

★ 1 • Updated Jul 8, 2026, 03:21 PM

OpenSERP Cloud is a managed SERP API that provides structured JSON results from multiple search engines including Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia.

Use Cases ▼

SEO rank tracking across multiple engines

Grounding LLM responses with verified search results

Competitor analysis and keyword monitoring

Building search-powered features in applications

Research data collection from web search indices

Automating marketing and content workflows

What Problem It Solves ▼

Key Features ▼

✓

No infrastructure to manage

✓

Multi-engine search in a single call

✓

Pay-as-you-go with free credits to start

✓

Errors are not charged

✓

Built on battle-tested open-source engine

Overview

Full Description ▼

Users can perform single-engine searches, image searches, or a unique 'megasearch' that queries all supported engines at once. This multi-engine capability is especially valuable for SEO rank tracking, where seeing positions across different engines is critical, and for AI pipelines that need to verify sources by consensus to reduce hallucinations. The API returns clean, structured JSON with detailed result metadata, pagination support, and error handling.

OpenSERP Cloud offers a free tier with credits to start, and a pay-as-you-go model at $0.009 per 10 returned web results. There are no subscriptions, minimums, or expiration of credits, and errors are not charged. SDKs are available for Node.js (NPM), Python (PyPI), and integrations for MCP servers and n8n workflows, making it easy to embed into applications and automation.