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title: Pagination sidebarTitle: Pagination description: The X API uses pagination for endpoints that return multiple pages of results (e.--- The X API uses pagination for endpoints that return multiple pages of results (e.g. timelines, search etc.). Each API call response includes a meta object with result_count, previous_token, and next_token. The XDK takes care of making multiple API calls using the next_token so developers can just specify how much data they are looking for without having to make multiple calls. The SDK simplifies this with: - Built-in Iterators: Use generator functions for seamless multi-page fetching. - Explicit Token Handling: For flexible manual control when needed by passing pagination_token when needed. - Max Results Enforcement: Respect max_results per call (up to API limits, e.g., 100 for search). Use the iterate() method on paginated responses to fetch all results lazily. Example: Paginated Search 
from xdk import Client
client = Client(bearer_token="your_bearer_token")
# Search with automatic pagination
all_posts = []
for page in client.posts.search_recent(
    query="python",
    max_results=100,  # Per page
    tweet_fields=["created_at", "author_id"]  # Optional expansions
):
    all_posts.extend(page.data)
    print(f"Fetched {len(page.data)} Posts (total: {len(all_posts)})")
print(f"Total tweets: {len(all_posts)}")
- The iterator handles next_token automatically. - Stops when no next_token is present. - Supports rate limit backoff to avoid 429 errors.

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Manual Pagination

If you require control over the results for some custom logic (e.g. processing page-by-page), you can still use the next_token and do the pagination manually as shown below: 
# Get first page - search_recent returns an Iterator
first_page = next(client.posts.search_recent(
    query="xdk python sdk",
    max_results=100,
    pagination_token=None  # First page
))
print(f"First page: {len(first_page.data) if first_page.data else 0} Posts")
# Extract next_token from meta
next_token = None
if hasattr(first_page, 'meta') and first_page.meta:
    if hasattr(first_page.meta, 'next_token'):
        next_token = first_page.meta.next_token
    elif isinstance(first_page.meta, dict):
        next_token = first_page.meta.get('next_token')
if next_token:
    second_page = next(client.posts.search_recent(
        query="xdk python sdk",
        max_results=100,
        pagination_token=next_token
    ))
    print(f"Second page: {len(second_page.data) if second_page.data else 0} Posts")
Tips: - Always specify max_results to optimize (default varies by endpoint). - Monitor meta.result_count for debugging. - For very large queries, consider async iteration to avoid blocking. For detailed code examples using the Python XDK, check out our code samples GitHub repo.