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    Python SDK

    Install and use the RankVectors Python SDK

    Installation

    pip install rankvectors
    

    Quick Start

    from rankvectors import RankVectors
    
    client = RankVectors(api_key="YOUR_API_KEY")
    
    # Create a project
    project = client.projects.create(
        name="My Website",
        domain="https://example.com",
        preferred_sdk="python"
    )
    
    print(f"Project created: {project.id}")
    

    Authentication

    Include your API key when creating the client:

    import os
    from rankvectors import RankVectors
    
    client = RankVectors(api_key=os.getenv("RANKVECTORS_API_KEY"))
    

    Projects

    Create Project

    project = client.projects.create(
        name="My Website",
        domain="https://example.com",
        preferred_sdk="python"
    )
    

    List Projects

    projects = client.projects.list()
    

    Get Project

    project = client.projects.get(project_id)
    

    Update Project

    updated = client.projects.update(project_id, {
        "name": "Updated Name",
        "include_paths": ["/blog", "/docs"]
    })
    

    Delete Project

    client.projects.delete(project_id)
    

    Pages

    Sync Page

    client.pages.sync(project_id, {
        "url": "https://example.com/page",
        "content": "Page content...",
        "title": "Page Title",
        "status_code": 200
    })
    

    Batch Sync Pages

    client.pages.batch_sync(project_id, [
        {
            "url": "https://example.com/page1",
            "content": "Content 1...",
            "title": "Page 1"
        },
        {
            "url": "https://example.com/page2",
            "content": "Content 2...",
            "title": "Page 2"
        }
    ])
    

    List Pages

    pages = client.pages.list(project_id, limit=50, offset=0)
    

    Suggestions

    Generate Suggestions

    suggestions = client.suggestions.generate(project_id, {
        "source_page_url": "https://example.com/page",
        "limit": 10
    })
    

    List Suggestions

    suggestions = client.suggestions.list(
        project_id,
        status="pending",
        limit=50
    )
    

    Get Suggestion

    suggestion = client.suggestions.get(project_id, suggestion_id)
    

    Update Suggestion

    client.suggestions.update(project_id, suggestion_id, {
        "status": "approved"
    })
    

    Error Handling

    from rankvectors.exceptions import APIError
    
    try:
        project = client.projects.create(
            name="My Website",
            domain="https://example.com"
        )
    except APIError as e:
        if e.status_code == 401:
            print("Authentication failed")
        elif e.status_code == 429:
            print("Rate limit exceeded")
        else:
            print(f"Error: {e.message}")
    

    Async Support

    The SDK supports async/await:

    import asyncio
    from rankvectors import RankVectors
    
    async def main():
        client = RankVectors(api_key="YOUR_API_KEY")
        project = await client.projects.create_async(
            name="My Website",
            domain="https://example.com"
        )
        print(f"Project created: {project.id}")
    
    asyncio.run(main())
    

    More Examples

    See the API Reference for complete API documentation.

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