Grokipedia API

A client library for accessing content from Grokipedia, an open-source, comprehensive collection of all knowledge.

Available in both Python and JavaScript/TypeScript!

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Quick Navigation

• Python - Installation | Quick Start | API Reference
• JavaScript/TypeScript - Installation | Quick Start | API Reference

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Python

Python Installation

Basic Installation

pip install grokipedia-api

With Additional Features

For async support:

pip install grokipedia-api[async]

For MCP server functionality (Python 3.10+):

pip install grokipedia-api[mcp]

For all features:

pip install grokipedia-api[all]

Or install from source:

git clone https://github.com/AkeBoss-tech/grokipedia-api.git
cd grokipedia-api
pip install -e .

Python Quick Start

Basic Usage

from grokipedia_api import GrokipediaClient

# Create a client
client = GrokipediaClient()

# Search for articles
results = client.search("Python programming")
print(f"Found {len(results['results'])} results")

# Get a specific page
page = client.get_page("United_Petroleum")
print(f"Title: {page['page']['title']}")
print(f"Content: {page['page']['content'][:200]}...")

Search Functionality

from grokipedia_api import GrokipediaClient

client = GrokipediaClient()

# Search with pagination
results = client.search("machine learning", limit=20, offset=0)
for result in results['results']:
    print(f"- {result['title']}")
    print(f"  Slug: {result['slug']}")
    print(f"  Views: {result['viewCount']}")
    print()

Get Full Page Content

from grokipedia_api import GrokipediaClient

client = GrokipediaClient()

# Get full page with all content
page = client.get_page("United_Petroleum", include_content=True)

# Access structured data
title = page['page']['title']
content = page['page']['content']
citations = page['page']['citations']

print(f"Article: {title}")
print(f"\nCitations: {len(citations)}")
for citation in citations:
    print(f"- [{citation['id']}] {citation['title']}")
    print(f"  {citation['url']}")

Async Usage

For faster, concurrent operations with async/await:

import asyncio
from grokipedia_api import AsyncGrokipediaClient, search_many, get_many_pages

async def main():
    # Basic async usage
    async with AsyncGrokipediaClient() as client:
        results = await client.search("Python programming")
        print(f"Found {len(results['results'])} results")
        
        page = await client.get_page("United_Petroleum")
        print(f"Title: {page['page']['title']}")
    
    # Search multiple queries concurrently
    queries = ["Python", "JavaScript", "Rust"]
    all_results = await search_many(queries, limit=5)
    print(f"Total results: {len(all_results)}")
    
    # Get multiple pages concurrently
    slugs = ["United_Petroleum", "Python_(programming_language)"]
    pages = await get_many_pages(slugs)
    for page_data in pages:
        print(f"✓ {page_data['page']['title']}")

asyncio.run(main())

Using Context Manager

from grokipedia_api import GrokipediaClient

# Use context manager for automatic cleanup
with GrokipediaClient() as client:
    results = client.search("Python")
    for result in results['results']:
        print(result['title'])

MCP Server (Python 3.10+)

For AI agent integrations:

# Start the MCP server
grokipedia-mcp

The server exposes tools for searching and retrieving Grokipedia content via the Model Context Protocol. See MCP_SERVER.md for detailed documentation.

Command Line Interface

# Search for articles
grokipedia search "Python programming"

# Get a specific page
grokipedia get "United_Petroleum" --citations

# Get full content
grokipedia get "United_Petroleum" --full

Python API Reference

GrokipediaClient

The main client class for interacting with Grokipedia.

Methods

search(query, limit=12, offset=0)

Search for articles in Grokipedia.

Parameters:

• query (str): Search query string
• limit (int): Maximum number of results to return (default: 12)
• offset (int): Number of results to skip for pagination (default: 0)

Returns:

• Dictionary containing:
  • results: List of search result dictionaries
  • total_count: Total number of results (if available)

Example:

results = client.search("Python programming", limit=20)

get_page(slug, include_content=True, validate_links=True)

Get a specific page by its slug.

Parameters:

• slug (str): Page slug (e.g., "United_Petroleum")
• include_content (bool): Whether to include full content (default: True)
• validate_links (bool): Whether to validate links (default: True)

Returns:

• Dictionary containing:
  • page: Page information including title, content, citations, images, etc.
  • found: Boolean indicating if the page was found

Example:

page = client.get_page("Python_(programming_language)")

search_pages(query, limit=12)

Search for pages and return results as a list.

Parameters:

• query (str): Search query string
• limit (int): Maximum number of results to return (default: 12)

Returns:

• List of search result dictionaries

Example:

pages = client.search_pages("machine learning")

Python Error Handling

The library provides custom exceptions:

• GrokipediaError: Base exception for all Grokipedia errors
• GrokipediaNotFoundError: Raised when a requested resource is not found
• GrokipediaAPIError: Raised when there's an API-related error
• GrokipediaRateLimitError: Raised when rate limit is exceeded

from grokipedia_api import GrokipediaClient
from grokipedia_api.exceptions import GrokipediaNotFoundError

client = GrokipediaClient()

try:
    page = client.get_page("NonExistentPage")
except GrokipediaNotFoundError:
    print("Page not found!")

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JavaScript/TypeScript

JavaScript Installation

npm install grokipedia-api

Or with yarn:

yarn add grokipedia-api

JavaScript Quick Start

Basic Usage (CommonJS)

const { GrokipediaClient } = require('grokipedia-api');

// Create a client
const client = new GrokipediaClient();

// Search for articles
client.search('Python programming')
  .then(results => {
    console.log(`Found ${results.results.length} results`);
    results.results.forEach(result => {
      console.log(`- ${result.title} (${result.slug})`);
    });
  })
  .catch(error => {
    console.error('Error:', error.message);
  });

// Get a specific page
client.getPage('United_Petroleum')
  .then(page => {
    console.log(`Title: ${page.page.title}`);
    console.log(`Content: ${page.page.content.substring(0, 200)}...`);
  })
  .catch(error => {
    console.error('Error:', error.message);
  });

TypeScript / ES6 Import

import { GrokipediaClient } from 'grokipedia-api';

const client = new GrokipediaClient();

// Search for articles
const results = await client.search('machine learning', 20);
console.log(`Found ${results.results.length} results`);

// Get a specific page
const page = await client.getPage('United_Petroleum', true);
console.log(`Title: ${page.page.title}`);
console.log(`Citations: ${page.page.citations?.length || 0}`);

Async/Await Example

const { GrokipediaClient } = require('grokipedia-api');

async function main() {
  const client = new GrokipediaClient();
  
  try {
    // Search with pagination
    const results = await client.search('machine learning', 20, 0);
    console.log(`Total results: ${results.total_count || 'unknown'}`);
    
    for (const result of results.results) {
      console.log(`- ${result.title}`);
      console.log(`  Slug: ${result.slug}`);
      console.log(`  Views: ${result.viewCount || 'N/A'}`);
    }
    
    // Get full page content
    const page = await client.getPage('United_Petroleum', true);
    console.log(`\nArticle: ${page.page.title}`);
    console.log(`\nCitations: ${page.page.citations?.length || 0}`);
    
    if (page.page.citations) {
      page.page.citations.forEach(citation => {
        console.log(`- [${citation.id}] ${citation.title}`);
        console.log(`  ${citation.url}`);
      });
    }
  } catch (error) {
    console.error('Error:', error.message);
  } finally {
    client.close();
  }
}

main();

Advanced Configuration

const { GrokipediaClient } = require('grokipedia-api');

// Create client with custom options
const client = new GrokipediaClient({
  baseUrl: 'https://grokipedia.com', // Optional: custom base URL
  timeout: 30000,                    // Request timeout in ms (default: 30000)
  useCache: true,                    // Enable caching (default: true)
  cacheTtl: 604800,                  // Cache TTL in seconds (default: 7 days)
});

// Search for pages (returns just the results array)
const pages = await client.searchPages('Python', 10);
pages.forEach(page => {
  console.log(`${page.title}: ${page.snippet.substring(0, 100)}...`);
});

// Clear cache if needed
client.clearCache();

JavaScript API Reference

GrokipediaClient

The main client class for interacting with Grokipedia.

Constructor

new GrokipediaClient(options?: ClientOptions)

Options:

• baseUrl (string, optional): Custom base URL (default: https://grokipedia.com)
• timeout (number, optional): Request timeout in milliseconds (default: 30000)
• useCache (boolean, optional): Enable caching (default: true)
• cacheTtl (number, optional): Cache time-to-live in seconds (default: 604800 = 7 days)

Methods

search(query, limit?, offset?)

Search for articles in Grokipedia.

Parameters:

• query (string): Search query string
• limit (number, optional): Maximum number of results to return (default: 12)
• offset (number, optional): Number of results to skip for pagination (default: 0)

Returns: Promise<SearchResponse>

Example:

const results = await client.search('Python programming', 20);

getPage(slug, includeContent?, validateLinks?)

Get a specific page by its slug.

Parameters:

• slug (string): Page slug (e.g., "United_Petroleum")
• includeContent (boolean, optional): Whether to include full content (default: true)
• validateLinks (boolean, optional): Whether to validate links (default: true)

Returns: Promise<PageResponse>

Example:

const page = await client.getPage('Python_(programming_language)');

searchPages(query, limit?)

Search for pages and return results as a list.

Parameters:

• query (string): Search query string
• limit (number, optional): Maximum number of results to return (default: 12)

Returns: Promise<SearchResult[]>

Example:

const pages = await client.searchPages('machine learning');

clearCache()

Clear the in-memory cache.

Example:

client.clearCache();

close()

Close the client and clean up resources.

Example:

client.close();

JavaScript TypeScript Types

The package includes full TypeScript definitions. Import types as needed:

import {
  GrokipediaClient,
  Page,
  PageResponse,
  SearchResult,
  SearchResponse,
  Citation,
  Image,
  ClientOptions,
} from 'grokipedia-api';

JavaScript Error Handling

The library provides custom exceptions:

• GrokipediaError: Base exception for all Grokipedia errors
• GrokipediaNotFoundError: Raised when a requested resource is not found
• GrokipediaAPIError: Raised when there's an API-related error
• GrokipediaRateLimitError: Raised when rate limit is exceeded

const { GrokipediaClient, GrokipediaNotFoundError } = require('grokipedia-api');

const client = new GrokipediaClient();

try {
  const page = await client.getPage('NonExistentPage');
} catch (error) {
  if (error instanceof GrokipediaNotFoundError) {
    console.log('Page not found!');
  } else {
    console.error('Error:', error.message);
  }
}

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Features

Both Python and JavaScript versions include:

• Search: Search through Grokipedia's vast collection of articles
• Page Retrieval: Get full page content, including headings, text, and citations
• Structured Data: Access well-structured data with proper typing
• Easy to Use: Simple and intuitive API
• Auto Retries: Automatic retry logic with exponential backoff
• Rate Limit Handling: Built-in rate limit detection and handling
• Caching: Optional caching to reduce API calls

Python-specific features:

• Async Support: Fast async/await API with aiohttp
• MCP Server: Model Context Protocol server for AI integrations
• CLI Support: Command-line interface

JavaScript-specific features:

• TypeScript Support: Full TypeScript definitions included

Data Models

Both libraries provide structured data models:

• Page: Represents a full Grokipedia page
• Citation: Represents a citation in an article
• Image: Represents an image in an article
• SearchResult: Represents a search result

Development

Python Development

# Clone the repository
git clone https://github.com/AkeBoss-tech/grokipedia-api.git
cd grokipedia-api

# Install in development mode with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black grokipedia_api tests

# Lint code
ruff check grokipedia_api tests

JavaScript Development

# Clone the repository
git clone https://github.com/AkeBoss-tech/grokipedia-api.git
cd grokipedia-api

# Install dependencies
npm install

# Build TypeScript
npm run build

# Run tests
npm test

# Lint code
npm run lint

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Grokipedia for providing the amazing knowledge base
• All the contributors and maintainers

Support

If you encounter any issues or have questions, please open an issue on GitHub.

Changelog

0.3.0 (Python)

• Added async client support
• Added MCP server functionality
• Enhanced error handling

0.1.0 (JavaScript)

• Initial npm release
• Full TypeScript support
• Search and page retrieval functionality