ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
PKCE lets public clients like SPAs authenticate Twitter users without storing secrets. This post walks through the OAuth 2.0 Authorization Code Flow with PKCE for API v2, including authorization URL construction, token exchange, refresh rotation, and the practical limits you'll hit in production.
A diagnostic guide for developers hitting Twitter API v1.1's 280-code-point tweet limit and 90-request/15-minute rate ceiling. Includes cause table, ordered checks, code-level fixes for truncation and 429 handling, and escalation triggers.
Learn how to implement cursor-based pagination and handle HTTP 429 rate limits when fetching user timelines using the X (Twitter) API v2.
Learn how to implement the Twitter API v2 Filtered Stream to ingest real-time tweets using server-side rules, chunked HTTP responses, and robust failure recovery strategies.
A decision guide for engineering teams integrating Twitter API v2: compare bearer token reads, OAuth 1.0a posting, and access tiers before building.
Decide between the free and elevated filtered streams, understand quota limits, and see a Python/Tweepy example that authenticates with a bearer token, sets rules, and consumes live tweets.
Use expansions=author_id on GET /2/tweets/:id to hydrate the Tweet and author profile in one call while respecting bearer-token rate limits.
Learn how to turn an X (Twitter) username into a stable user ID using API v2, request only needed fields, handle rate limits, and cache the result safely.
When Twitter API v2 returns HTTP 429 Too Many Requests, the app has hit a rate limit. This guide walks you through diagnosing the exact cause, checking the relevant headers, and applying the right backoff strategy to keep your integration running smoothly.
twitter
python