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YouTube transkript API'si, verdiği hatalar ve bağlandığı araçlar hakkında notlar.

Entegrasyonlar
00:06:00

n8n YouTube Transcript Failing on Your Server? Why YouTube Blocks It and How to Fix It

Why a YouTube transcript workflow runs fine on your laptop but fails on n8n Cloud or a VPS: YouTube blocks cloud IP ranges. What to do about it, which videos nobody can fetch, and how to handle failures in the workflow.

Entegrasyonlar
00:09:00

How to Build a RAG Pipeline with YouTube Transcripts

A working RAG pipeline over YouTube video transcripts: collect transcripts across a video list, chunk them, embed and store the vectors, retrieve the relevant chunks, and generate a cited answer - full code for every step, plus how to keep the index fresh.

Entegrasyonlar
00:09:00

The Best YouTube Transcript APIs in 2026

A practical comparison of the youtube-transcript-api Python library, yt-dlp, Apify, TranscriptAPI, Supadata, and GetYouTubeTranscript - pricing, platform coverage, credit models, and where each one actually breaks in production.

Entegrasyonlar
00:06:00

Migrating from Supadata: A Field Guide

Switching a YouTube transcript integration from Supadata to GetYouTubeTranscript - parameter mapping, the x-api-key header that carries over unchanged, response-shape differences, and where the two products genuinely don't match (multi-platform support, sync vs. job-polling).

Entegrasyonlar
00:07:00

How to Get YouTube Transcripts in Python

Two ways to pull YouTube transcripts in Python: the open-source youtube-transcript-api library, and a hosted REST API. Working code for both, and where the self-hosted approach breaks in production.

Entegrasyonlar
00:06:00

Migrating from TranscriptAPI.com: A Field Guide

Switching a YouTube transcript integration from TranscriptAPI.com to GetYouTubeTranscript - parameter mapping, a before/after curl example, endpoint equivalents, and the real gaps that do not map 1:1.

Entegrasyonlar
00:08:00

Build an AI YouTube Video Summarizer with LangChain and Next.js

A working YouTube summarizer built with LangChain and Next.js: fetch the transcript, chunk it with a text splitter, summarize each chunk, then combine the results into one final summary - full code for every step.

Hatalar
00:09:00

YouTube API Quota Exceeded: Causes and Fixes

Why YouTube Data API requests fail with quotaExceeded, what the daily 10,000-unit quota actually costs per call, how to check and raise it, and how to avoid hitting it - including using a transcript API that doesn't consume your quota.

Hatalar
00:08:00

YouTube Transcript API Rate Limit: What It Is and How to Handle 429s

Why APIs return 429 Too Many Requests, what RFC 6585 and the Retry-After header actually specify, how rate limits differ from daily quota, and how to implement correct retry and backoff logic.

Entegrasyonlar
00:08:00

YouTube Transcript MCP Server: Setup Guide for Claude and Other AI Tools

How the Model Context Protocol works, how to connect the GetYouTubeTranscript MCP server to Claude Desktop, Claude Code, Cursor, Windsurf, or ChatGPT, and how to troubleshoot the connection.

Entegrasyonlar
00:09:00

YouTube Transcripts in n8n: HTTP Request Workflow Guide

How to fetch YouTube transcripts inside an n8n workflow using the HTTP Request node - a downloadable workflow JSON, batch processing multiple videos, handling rate limits, and feeding results into an AI summarizer.