YouTube Transcript Scraper + Whisper AI Fallback
Pricing
from $0.70 / 1,000 transcript extracteds
Extract YouTube transcripts from any video — even without captions. Whisper AI fallback, LLM-ready output, SRT/VTT export. No API key. $0.001/video.
All notable changes to this actor will be documented here.
aiFallback input removed — AI transcription is now always active when no captions are found. Videos without captions are automatically transcribed; use maxAiMinutes and skipAiFallbackIfLongerThan to control spendproxyConfiguration input removed — proxy is now always active and fully automatic. The actor builds a datacenter + residential escalation ladder internally; no user configuration neededmaxAiMinutes default changed from 0 (unlimited) to 30 to prevent bill shock for new usersprocess_video() signature: removed ai_fallback parameter; replaced proxy_urls: List[str] with proxy_cfgs: list (ProxyConfiguration objects) for fresh-IP-per-retrynew_url() is called at point of use so each retry gets a fresh IP from the rotating poolcondition_on_previous_text=False to prevent hallucination propagation across segmentsno_speech_threshold=0.6 and log_prob_threshold=-1.0 to prevent silent segment dropsconcurrent_fragment_downloads: 5 to speed up DASH/HLS audio downloadsextractor_retries: 3 for extractor-level retry resiliencelanguages, subType, outputFormats, maxResults, maxAiMinutesBOT_DETECTION added to error_code enum in dataset_schema.jsonactor.json description to reflect always-on proxy and AIdataset_schema.json): removed stale dry_run, would_need_ai, and estimated_ai_min fields; added words sub-array documentation to transcript_json segments; clarified that available_languages is only present on error items; expanded language field description to reference both YouTube (130+) and Whisper (99) code setsinput_schema.json): expanded languages field description with 20 common codes; listed all 99 Whisper codes explicitly in forceWhisperLanguage descriptionREADME.md: moved "What you get" section before "Use cases"; added full Language Reference appendix (130+ YouTube caption codes, 99 Whisper AI codes); added 10 real-world use case sections; updated transcript fields table with AI-specific fields (language_probability, language_was_forced, ai_duration_charged_min, ai_speech_duration_sec, available_languages); added MCP row to comparison table; added MCP entry to "Who uses it"available_languages now propagated to all AI gate error items (spending limit, budget cap, skip-too-long) so callers always know which caption languages YouTube provides on a videoOptional[List[str]] type hint corrected in scraper.py get_video_info signatureinput_schema.json: reordered fields into logical flow (URLs → captions → output → AI → proxy); improved all field descriptions; moved sectionCaption: "Advanced" to skipAiFallbackIfLongerThan; changed proxyConfiguration from prefill to default: {"useApifyProxy": false} so API calls without explicit proxy input receive a safe defaultREADME.md: moved Quick Start to position 2; added free-credits callout; added limitations section; reordered FAQ (cost questions first); added plain-English pricing intro; converted advanced options to a table; added 10 use-case sectionsactor_proxy_input= as a keyword argument; the call was incorrectly passing it positionally (TypeError)AttributeError when proxy configuration is present but disabled (useApifyProxy: false) — the SDK correctly returns None in that case and the code now guards against itdryRun input option — Apify's apify-actor-start synthetic event is charged on every run regardless of actor code, so a truly free dry run is not possible; maxAiMinutes and skipAiFallbackIfLongerThan remain available for spend controlrun_started charge call — replaced by Apify's automatic apify-actor-start synthetic event, which handles per-run startup charging with no code requiredwordLevel)transcript_scraped, ai_transcription_minmaxResults cap for channels and playlistsmaxAiMinutes cap to limit AI transcription spend per run