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OpenSERP

OpenSERP

Go Reference release Docker Pulls CI Telegram

OpenSERP is a free, open-source SERP API and CLI for Google, Yandex, Baidu, Bing, DuckDuckGo, and Ecosia.

No API keys, no per-search billing: one command gives you live, structured search results on localhost - including engines the paid APIs don't cover. Use it as a search tool for LLMs and agents, or as a backend for SEO rank tracking. If you'd rather not run infrastructure, there is a hosted version with the same API.

OpenSERP CLI demo

Features

  • Dedicated endpoints for six engines, same JSON schema across all of them
  • Megasearch - one query across several engines at once, merged and deduped
  • URL extraction - search results plus clean markdown of the target pages in one call
  • SERP features: AI summaries, answer boxes, people-also-ask, related searches
  • Image search, filters (language, date range, file type, site), JSON/Markdown/Text/NdJSON output
  • Proxies, cache, resilient mode, prebuilt Docker images

Quick Start

Docker

Prebuilt images are published to docker hub: karust/openserp.

# Run the API server via prebuilt image
docker run --rm -p 127.0.0.1:7000:7000 karust/openserp:latest serve -a 0.0.0.0 -p 7000

# Or
docker compose up

Go install

go install github.com/karust/openserp@latest
openserp search duckduckgo "open source serp api" --format markdown

From Source

git clone https://github.com/karust/openserp.git
cd openserp
go build -o openserp .
./openserp serve

First request

# mode=any returns the first engine that responds
curl "http://127.0.0.1:7000/mega/search?engines=bing,google&text=golang+vs+rust&extract=1&mode=any"
Example JSON response
{
  "query": {
    "text": "golang vs rust",
    "engines_requested": ["bing", "google"]
  },
  "meta": {
    "request_id": "019ecdc0-a66d-79a4-9d2b-9e9b480d495e",
    "requested_at": "2026-06-16T00:06:55Z",
    "took_ms": 720,
    "engines_responded": ["bing"],
    "engines_failed": [],
    "version": "2.1"
  },
  "results": [
    {
      "id": "s_5a8273f16b19ab64",
      "rank": 1,
      "type": "organic",
      "title": "The Go Programming Language",
      "url": "https://go.dev/",
      "display_url": "go.dev",
      "snippet": "Get Started Playground Tour Stack Overflow Help Packages Standard Library …",
      "domain": "go.dev",
      "favicon": "https://go.dev/favicon.ico",
      "position": {
        "absolute": 1
      },
      "engine": "bing",
      "domain_info": {
        "tld": "dev",
        "sld": "go",
        "category": ""
      },
      "extracted": {
        "title": "Build simple, secure, scalable systems with Go",
        "format": "markdown",
        "content": "## Build simple, secure, scalable systems with Go\n\n![Go Gopher climbing a ladder.](https://go.dev/images/gophers/ladder.svg)\n\n- “At the time, no single team member knew Go, but **within a month, everyone was writing in Go** and we were building out the endpoints. ........",
        "mode_used": "fast",
        "fetched_at": "2026-06-16T00:06:56Z"
      }
    },
    {
      "id": "s_1a364ebcb3035539",
      "rank": 2,
      "type": "organic",
      "title": "Go (programming language) - Wikipedia",
      "url": "https://en.wikipedia.org/wiki/Go_(programming_language)",
      "display_url": "en.wikipedia.org › wiki › Go_(programming_language)",
      "snippet": "In Go's package system, each package has a path (e.g., \"compress/bzip2\" or \"golang.org/x/net/html\") and a name (e.g., bzip2 or html). …",
      "domain": "en.wikipedia.org",
      "favicon": "https://en.wikipedia.org/favicon.ico",
      "position": {
        "absolute": 2
      },
      "engine": "bing",
      "domain_info": {
        "tld": "org",
        "sld": "wikipedia",
        "category": ""
      },
      "classification": {
        "content_type": "article",
        "source_hint": "encyclopedia"
      }
    },
    ...
  ],
  "serp_features": [],
  "pagination": {
    "page": 1,
    "has_more": false,
    "next_start": 10
  },
  "clusters": [
    {
      "id": "c_f20b23a020101dce",
      "canonical_url": "https://go.dev/",
      "domain": "go.dev",
      "title": "The Go Programming Language",
      "occurrences": [
        {
          "engine": "bing",
          "rank": 1,
          "result_id": "s_5a8273f16b19ab64"
        }
      ],
      "engines_count": 1,
      "best_rank": 1,
      "score": 0.5
    },
    ...
  ]
}

SDKs & Examples

Official client packages. Each works against your self-hosted server (set baseUrl) or the hosted API (set apiKey):

Type Package Source Install
JavaScript / TypeScript SDK @openserp/sdk openserpapi/sdk-js npm install @openserp/sdk
Python SDK openserp openserpapi/sdk-python pip install openserp
MCP server (AI agents) @openserp/mcp openserpapi/mcp npx @openserp/mcp
n8n community node @openserp/n8n-nodes-openserp openserpapi/n8n Install via n8n community nodes

See examples for small JavaScript and Python use cases covering search, AI grounding, SEO, content extraction, and image search.

import { OpenSERP } from "@openserp/sdk";

// Use your self-hosted server
const client = new OpenSERP({ baseUrl: "http://localhost:7000" });
const { results } = await client.search({ engine: "google", text: "openserp", limit: 5 });

Search Endpoints

Available engine names: google, yandex, baidu, bing, duckduckgo, ecosia.

Dedicated engine endpoints:

curl "http://127.0.0.1:7000/google/search?text=golang&limit=10"

Image search:

curl "http://127.0.0.1:7000/bing/image?text=golang+logo&limit=10"

Megasearch:

curl "http://127.0.0.1:7000/mega/search?text=golang&limit=10"

/mega/search returns the same envelope as engine endpoints plus clusters: results are deduplicated by normalized URL, and clusters keep the per-engine occurrences and ranks.

Mode Best for Behavior
balanced Most multi-engine SERP workflows Queries engines in parallel and merges results
fast Lowest latency Uses the fastest available engine
any Fallback-style availability checking Tries engines sequentially until one responds
More megasearch examples
# Fast mode
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=fast&engines=google,bing,yandex"

# Any mode
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=any&engines=google,yandex,bing"

# Balanced mode with aggregation controls
curl "http://127.0.0.1:7000/mega/search?text=golang&mode=balanced&dedupe=true&merge=true"

# Advanced filtering
curl "http://127.0.0.1:7000/mega/search?text=golang&engines=google,bing&limit=20&date=20250101..20251231&lang=EN&region=US"

# Image megasearch
curl "http://127.0.0.1:7000/mega/image?text=golang+logo&limit=20"

List engines:

curl "http://127.0.0.1:7000/mega/engines"

URL extraction:

# Extract one URL as JSON
curl "http://127.0.0.1:7000/extract?url=https://example.com&mode=auto"

# Return clean page markdown
curl "http://127.0.0.1:7000/extract?url=https://example.com&format=markdown"

# Extract several URLs at once - returns a bare [{page_content, metadata}] array
# (Open WebUI external loader compatible); failed URLs become items with metadata.error
curl -X POST "http://127.0.0.1:7000/extract/batch" \
  -H "Content-Type: application/json" \
  -d '{"urls":["https://example.com","https://go.dev"],"mode":"fast"}'

# Embed extracted content under the top search results
curl "http://127.0.0.1:7000/google/search?text=llm+observability&extract=2&format=markdown"

CLI Search

No server required - query an engine straight from the terminal. The CLI shares the same engines, formats, and filters as the API.

openserp search ecosia "weather in london" --format markdown
CLI output and more examples
# Search results for "weather in london"

**Query:** weather in london - **Engines:** ecosia - **Took:** 866ms

## Results

### 1. London - BBC Weather

**bbc.com › weather › 2643743** - organic

Latest forecast for London ... Tonight will continue dry, and there will be mainly clear skies. Just a few patches of cloud drifting in from the north at times.

-> https://www.bbc.com/weather/2643743

### 2. London (Greater London) weather - Met Office

**weather.metoffice.gov.uk › forecast › gcpvj0v07** - organic

Remaining warm with light winds and dry. Possibly cloudy at times Monday and Tuesday, then Wednesday sunnier conditions are likely.

-> https://weather.metoffice.gov.uk/forecast/gcpvj0v07

### 3. London, London, United Kingdom Weather Forecast

**accuweather.com › en › gb › london › ec4a-2 › wea…** - organic

London, London, United Kingdom Weather Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days.

-> https://www.accuweather.com/en/gb/london/ec4a-2/weather-forecast/328328

More CLI examples:

# JSON is the default format
openserp search google "golang generics" --limit 20

# Plain text, German results
openserp search yandex "wetter berlin" --format text --lang DE --region DE

# Restrict to a site and stream NdJSON
openserp search bing "release notes" --site github.com --format ndjson

# Embed clean page content from the top 2 results
openserp search google "llm observability" --extract 2 --format markdown

# Browserless (raw HTTP) mode through a proxy
# (raw mode: google, yandex, baidu, ecosia)
openserp search ecosia "weather in london" --raw --proxy http://user:pass@127.0.0.1:8080

Run openserp search --help for the full flag list. Engine names: google, yandex, baidu, bing, duckduckgo, ecosia.

Query Parameters

Common parameters:

Parameter Description Example
text Search query golang programming
lang Language code EN, DE, RU, ES
region Market/location hint. Countries/locales work across engines; Google also accepts city names via uule; Yandex accepts numeric lr. DE, en-GB, Berlin, 213
date Date range 20250101..20251231
file File extension pdf, doc, xls
site Site-specific search github.com
limit Number of organic results, max 100. When omitted or <=10, only the first SERP page is parsed. 25, 50
start Pagination offset 0, 10, 20
format Output format json, markdown, text, ndjson
extract Fetch and embed target-page content for top web results. Bool or int depth: 0/false off, true/1 top result, N top N (1-5). extract_mode/min_runes imply extract=true unless extract=0 1, 3, true
extract_mode Extraction strategy: raw HTTP first, raw only, or browser-rendered auto, fast, rendered

Engine-specific parameters:

Parameter Supported engines Notes
filter google Duplicate filter: true hides similar results, false includes them.
features browser Search Populate serp_features[] from the live page. Defaults to true.

Proxy Support

OpenSERP supports HTTP and SOCKS5 proxies.

Simple global proxy:

./openserp serve --proxy socks5://127.0.0.1:1080
./openserp search bing "query" --proxy http://user:pass@127.0.0.1:8080

Advanced proxy configuration is available in config.yaml. You can enable tagged proxy pools and per-request override via X-Use-Proxy: <tag> or X-Use-Proxy: direct.

API Docs

Once the server is running, the interactive docs are available locally:

  • Swagger UI: http://127.0.0.1:7000/docs - full schemas, error shapes, and the /health, /ready, /stats/* endpoints
  • OpenAPI YAML: http://127.0.0.1:7000/openapi.yaml

To browse the spec without running the server, see docs/openapi.yaml. For a higher-level overview of how OpenSERP works internally, see the architecture docs.

Self-Hosted or Cloud

  • Self-hosted (this repo) - free, MIT-licensed, full control over runtime, proxies, cache, and scaling.
  • OpenSERP Cloud - same endpoints and response schema, no infrastructure to run.

Client code migrates in either direction, so you are never locked in.

License

This project is licensed under the MIT License. See LICENSE.

Contributing

Contributions are welcome. See docs/CONTRIBUTING.md.

Feedback & Updates

  • GitHub Issues - bugs, feature ideas, and reproducible issues.
  • feedback@openserp.org - private notes, longer feedback, or anything that does not fit GitHub Issues.
  • Telegram - OpenSERP news, release notes, and project updates.

OpenSERP is free and open-source. Only links listed in this repository and on openserp.org are associated with the project.

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Self-hosted SERP API for AI, SEO & automation. Browser-rendered Google, Bing, Yandex, Baidu, DuckDuckGo and Ecosia search with page extraction 🎉

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