Replace TranscriptAPI?
KINDA ยท weekend projectThe happy path is genuinely a one-sitting build: the open-source youtube-transcript-api library fetches a caption track in a few lines, and wrapping it in FastAPI gives you a working personal endpoint. The honest gap is reliability. YouTube rate-limits and IP-blocks caption scraping at any real volume, so the DIY version works until it suddenly does not, and there is no fix without a rotating proxy pool you must rent and operate. The paid product is not selling the parsing; it is selling the unblocked pipe, plus search and playlist endpoints on top.
Build me a small YouTube transcript API service, a personal stand-in for TranscriptAPI. Requirements: - Python 3.11 stack: FastAPI, uvicorn, and the youtube-transcript-api library; no database, one file plus a README is fine. - GET /transcript?video=<id-or-url>: extract the video id, fetch the caption track, return JSON with the full text plus timestamped segments. - Support lang= with a sensible fallback to the first available track, and report which track was actually used in the response. - Clean JSON errors: 404 when captions are disabled or missing, 502 when YouTube blocks the fetch; never a bare 500. - Read an optional comma-separated PROXIES var from .env and rotate per request; with none set, run direct. - GET /health returning version and uptime. - A tiny CLI example in the README: curl the endpoint, jq out the text. - Keep it stateless and private: no accounts, no API keys, no telemetry, no storage. - README must be honest about the failure mode: at any real volume YouTube rate-limits and IP-blocks caption fetches, and this build has no defense. - Out of scope, deliberately: the rotating proxy pool and anti-blocking infrastructure, channel/playlist/search endpoints, bulk throughput, and SLAs. That reliability layer is the thing the paid product actually sells.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
The parse was never the hard part. Holding a durable, unblocked pipe into YouTube captions at volume is an operations problem that costs real money to run, and buying it for 5 USD a month is cheaper than renting proxies and babysitting them.
xstaying unblocked when YouTube rate-limits caption fetches
xsearch, channel and playlist endpoints
xreliability at bulk volume
xan SLA and support when YouTube changes something
What does the TranscriptAPI verdict mean?
The core job looks buildable, with meaningful gaps: staying unblocked when YouTube rate-limits caption fetches, search, channel and playlist endpoints. Read the full tradeoff list before committing. This research record is not a hosted IVCIFY tool.
What price does this directory record show for TranscriptAPI?
The directory records $5/month for Starter, checked 2026-07-31. Verify the source before making a purchase decision. This reference stays outside retail Stack Math unless current matched evidence supports the comparison.
What do I lose by replacing TranscriptAPI?
Honestly: staying unblocked when YouTube rate-limits caption fetches; search, channel and playlist endpoints; reliability at bulk volume; an SLA and support when YouTube changes something. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to TranscriptAPI?
The listed prior art includes youtube-transcript-api (open-source Python library for the core caption fetch). Inspect those projects before starting from a blank prompt.