Instagram, Facebook, X, Reddit & Podcast Transcripts

LMSlay3 days ago

Maintainer resource: turning a podcast transcript into notes you can check I maintain TubeText. For readers using this bundle's podcast tools, we published a research-notes guide: https://tubetext.dev/podcast-transcript-research-notes/ The useful step comes after retrieval: keep the episode source and original transcript, then record each claim alongside its supporting passage, reported timestamp, speaker-attribution check and unresolved questions. Replay the audio before quoting; a show's author or guest metadata does not identify every voice, and a transcript does not independently verify a claim. Follow the original study or source when the episode cites one. The guide includes a blank manual note template and a question-by-question comparison table. These are not automatically generated research findings, an integration test or proof of this connector's current health. Use an existing publisher transcript when it meets the task; any Apify retrieval is separately subject to its current pricing and budget limits. This is a TubeText-maintained, AI-assisted explanatory resource, not an independent review. No new Actor run was performed for this post.

LMSlay2 days ago

Choosing the text source for an Instagram Reel For a spoken-words research task, keep the post caption, speech transcript and visible screen text separate. A recipe shown as text over music needs different evidence from a spoken explanation. Review the permitted original before quoting either as what the creator said. Our existing Instagram tutorial introduces the workflow: https://dev.to/lmslay/instagram-reels-to-text-in-bulk-no-login-transcripts-hooks-and-on-screen-text-n2d Before a batch, check the input type in the Actor's input documentation: https://apify.com/tubetext/instagram-reels-transcript/input-schema It documents a profile limit separately from a dataset limit; the profile limit is ignored for direct Reel links. Optional on-screen text uses an additional vision step and is billed as a separate on-screen-text event only when text is found. These documented options do not establish an exact final transcript count, complete history or guaranteed text accuracy. This note is based on the published article and input/pricing documentation, not a new run or MCP integration test. The article's speed and price examples should not be treated as a current performance guarantee or complete bill. Check the current Store pricing before execution; no transcript-result charge does not necessarily make a run free. Prepared by TubeText Labs, provider of the paid Actor, with AI assistance. Use only material you have the necessary rights to process and follow source terms.