Instagram Transcript Scraper — Reels, Posts & IGTV to Text

Turn any public Instagram Reel into a swipe-file row: the spoken script, the hook (hook3s — first 3 seconds, always included), and optionally the on-screen text Whisper cannot hear (caption cards, prices, URLs burned into the frames). Paste a handle, reel URLs, or chain another Instagram scraper's dataset. No login. From $0.0065 per delivered transcript ($0.015 on the Free plan, whatever the reel's length) — silent / music-only reels are not charged. Tick Read on-screen text, hook and structure to add onScreenText, hookOnScreen, ctaText and beats, Summary, chapters and keywords to get the reel written up in its own language, or AI video breakdown for a creative brief per reel: why it works, the hook read, key points, CTA, format, tone, audience and timestamped segments.

Which one should I use?

This actor covers Reels, /p/ video posts and IGTV, charges one flat price per transcript whatever the length ($0.015 on the Free plan, down to $0.0065 on Gold and above), and can add on-screen text, a summary, chapters and keywords. If you only need Reels and they are short, Instagram Reel Transcript Scraper is usually cheaper: it bills $0.003 per started minute of video, capped at 5 minutes per Reel.

Why use this Instagram Transcript Scraper?

• Transcript and breakdown in one run — one actor returns the spoken transcript, the hook and timestamped subtitles, and optionally the on-screen text, CTA and beat structure, an AI summary with chapters and keywords, and a full AI video breakdown. The full script of a reel, spoken and written, plus the brief on why it works, from one call. No second actor and no second run for the analysis.
• AI video breakdown (optional) — a creative brief for every reel, written from its transcript: what it is about, why it holds attention, the hook and why it works, key points, the call to action, content format, tone and target audience, topic tags and timestamped segments. Built for swipe files, competitor research and as ready context for ChatGPT or Claude.
• No Instagram login or cookies required — works on any public reel/post/IGTV URL.
• Hook on every row — hook3s is the first 3 spoken seconds, the line that stops the scroll. Always included, no extra charge.
• On-screen text (optional) — caption cards, prices, step numbers and URLs burned into the frames. Whisper cannot hear these; tick the vision pass to get onScreenText, hookOnScreen and ctaText.
• Summary, chapters and keywords (optional) — Claude Haiku 5.5 writes them from the transcript, in the language the reel is spoken in, with chapter starts taken from the transcript's own timestamps.
• Real speech-to-text, not just captions — Instagram exposes no caption track to the public, so this actor downloads each video's audio and transcribes it with Whisper AI.
• Timestamped segments — every transcript comes with a segments array (start, end, text) you can turn into subtitles or jump-to-moment links.
• 30+ languages — set the language or let Whisper auto-detect it per video.
• Rich metadata included — username, display name, caption, like/comment counts, thumbnail and upload date alongside the transcript.
• Pay per transcript — $0.015 per delivered transcript on the Free plan, down to $0.0065 on Gold and above (a 2★ volume listing charges $0.026). Image-only, private, silent and music-only items are skipped or written as no_speech and not billed.
• Fresh Whisper, not cached captions — every run transcribes the audio. Failed items go to the ERRORS record with a reason instead of a charged empty row.
• Handle + reel URLs — nasa, @nasa, or a reel/post/IGTV URL. No fake channel-caption scrape.

What does it do?

Give it a creator handle, reel URLs, or a dataset from another Instagram scraper. For each video the actor:

1. Resolves the public video and its metadata (cookieless).
2. Downloads the audio.
3. Runs on-device Whisper speech-to-text.
4. Pushes one row: metadata + full transcript + timestamped segments.

Supported input

Input	Example
Creator handle / profile	nasa, @nasa, https://www.instagram.com/nasa/
Reel URL	https://www.instagram.com/reel/Dabg9j1xNHM/
Post URL (video)	https://www.instagram.com/p/ABC123xyz/
IGTV URL	https://www.instagram.com/tv/ABC123xyz/
Dataset chain	datasetId of a finished IG scraper run, or pasted datasetItems
Direct .mp4	Instagram CDN videoUrl from another scraper
Files in your key-value store	Record URLs of videos a downloader actor saved to your Apify key-value store, or the store itself under videoStoreIds

Image-only posts are detected and skipped (there is no audio to transcribe). Empty input transcribes one sample reel so "Start" still produces a row.

Use cases

• Creative briefs & hook swipe files — turn on the AI video breakdown to get why each reel works, its hook type and key points, and add the reel analysis for the on-screen text, CTA and beat structure. Run it over a batch of top-performing reels, sort by hook type or format, and brief a creator or draft the next script.
• Content research & repurposing — turn a creator's reels into searchable text, blog drafts or scripts.
• Social listening & brand monitoring — analyze what's actually said in videos, not just captions.
• Accessibility — ready-made .srt and .vtt subtitle files with every transcript.
• Competitive & influencer analysis — mine talking points, hooks, CTAs and on-screen text across many videos, with an AI summary and keywords per reel.
• Dataset building — collect speech transcripts for NLP, trend detection or LLM fine-tuning.

How it works

The actor opens each public Instagram video and pulls its audio without any login, then transcribes the audio with OpenAI Whisper running inside the actor. Because transcription runs on-device, your data never goes to a third-party API.

Input configuration

Field	Type	Default	Description
startUrls	array	—	Reel / post / IGTV URLs, or a profile URL.
handles	array	—	Creator usernames (nasa, @nasa). Lists recent reels, newest first.
maxReelsPerHandle	integer	12	How many of each creator's latest reels to transcribe.
datasetId	string	—	Default dataset of a finished IG scraper run; reel URLs are picked out of each row.
datasetItems	array	—	Paste scraper rows instead of chaining by ID.
watchlistId	string	—	Named store that remembers transcribed shortcodes across scheduled runs.
newReelsOnly	boolean	false	Skip reels already on that watchlist. Needs watchlistId.
resumeUnfinished	boolean	true	If an earlier run with the same input stopped before finishing (aborted or timed out), skip the reels it already delivered and do only the rest, uncharged for the repeats. A finished run is never resumed.
videoUrls	array	—	Direct .mp4 / .webm links (CDN videoUrl from another scraper).
videoStoreIds	array	—	Key-value stores in your account that hold video or audio files. The actor may read only the stores you select here, so a record URL from a private store needs its store selected. A selected store that none of your URLs point into is transcribed whole (keys ending in .mp4, .webm, .mov, .mp3, .m4a and similar), up to maxItems.
whisperModel	select	tiny	tiny (fast, reliable), base or small (more accurate, slower).
language	string	auto	ISO code (en, es, ar, …) or auto to detect per video.
includeSegments	boolean	true	Include the segments array of timestamped chunks.
maxItems	integer	25	Maximum videos to transcribe this run.
maxDurationSec	integer	300	Skip videos longer than this (compute guard). 0 disables.
maxConcurrency	integer	2	Videos transcribed in parallel (1–4).
analyzeReel	boolean	false	Vision pass over sampled frames. Adds an analysis object: onScreenText (caption cards, prices, step numbers, URLs burned into the frames), hookOnScreen, ctaText, beats and structure — the half of the script audio cannot see, and the whole script on a silent reel. Charged per analysis delivered. Paid plans only.
analysisMaxFrames	integer	8	Frames sampled per reel for the vision pass. More frames catch more on-screen text at higher cost; 8 is the sweet spot, 12 the ceiling.
summarize	boolean	false	Claude Haiku 5.5 writes a summary, chapters with start times and keywords, in the reel's own language. Charged per summary delivered.
aiBreakdown	boolean	false	AI video breakdown: a creative brief per reel from its transcript. Adds breakdownSummary, breakdownWhyItWorks, the hook read (breakdownHookText, breakdownHookType, breakdownHookWhyItWorks), breakdownKeyPoints, the CTA (breakdownCtaText, breakdownCtaType), breakdownContentFormat, breakdownTone, breakdownAudience, breakdownTopics and timestamped breakdownSegments, in the reel's own language. Charged per breakdown delivered. Paid plans only.
cleanTranscript	boolean	false	Adds transcriptClean: Haiku 4.5 corrects the words the fast speech model misheard, using the post's caption for names and terms. Never paraphrased; transcript, segments and subtitle files stay verbatim. $0.003 per clean transcript delivered.
proxy	object	Residential	Proxy configuration.

Example input

{
    "handles": ["nasa"],
    "maxReelsPerHandle": 12,
    "watchlistId": "nasa-daily",
    "newReelsOnly": true,
    "startUrls": [
        { "url": "https://www.instagram.com/reel/Dabg9j1xNHM/" }
    ],
    "whisperModel": "tiny",
    "language": "auto",
    "includeSegments": true,
    "maxItems": 25
}

What was not delivered, and why

Every reel the input asked for ends as a charged dataset row or as an entry in the run's ERRORS record (key-value store), never neither. A reel that was not delivered also gets an uncharged row in the dataset with its status set to the reason and an error saying what to change, so an integration that reads only the dataset (the API, Make, n8n) sees it too. The record is written on every run, with an empty items list when everything was delivered, so an integration can read it unconditionally. Each entry carries a reason, a plain-language detail saying what happened and what to change, and a retryable flag:

reason	What happened	Re-run as-is?
private_or_gone	Instagram does not show the reel publicly: private account, deleted, region-locked	No
no_audio	An image post, or a key-value store record that is not a video or audio file; nothing to transcribe	No
storage_no_access	The file is in a key-value store this actor may not read. Apify lets an actor read only the stores you select in its input	No: select the store under videoStoreIds (or set its General access to "Anyone with ID can read"), then re-run
no_speech	Music or silence, including a transcript made only of the filler speech models invent over music ("Thank you.", "♪"). The row is in the dataset with status: no_speech, not charged	No
too_long	Over your maxDurationSec (a value from 1 to 9 would skip every reel, so the run uses the default 300 instead and says so)	Raise the limit, or set 0 to turn it off
deadline	The run would have hit its timeout before this reel finished	Raise the timeout or lower the batch
transport	The reel could not be fetched after several tries, or Instagram turned the run away for a while	Yes, in a few minutes
transcription_failed	Whisper or the download failed	Yes

The run's status line carries the same arithmetic, for example "Delivered 9 of 10 reels. 1 not delivered and not charged: 1 private, removed or not found — see the ERRORS record." A run that delivers nothing because every fetch failed on the network is marked FAILED so it stands out in your run list; a run whose misses describe the reels themselves, or a store it was not allowed to read, finishes SUCCEEDED. Reels left out by the watchlist are counted separately on the status line and never charged.

Output

One row per video. Example (abridged):

{
    "id": "Dabg9j1xNHM",
    "shortcode": "Dabg9j1xNHM",
    "url": "https://www.instagram.com/reel/Dabg9j1xNHM/",
    "username": "nasaadmin",
    "userId": "79712351002",
    "fullName": "NASA Administrator Jared Isaacman",
    "caption": "For 250 years, America has inspired generations to dream bigger…",
    "durationSec": 58,
    "thumbnailUrl": "https://instagram.f…/735552979_….jpg",
    "timestamp": 1783294802,
    "uploadDate": "20260705",
    "likeCount": 56053,
    "commentCount": 1923,
    "viewCount": null,
    "isVideo": true,
    "transcript": "For 250 years, the United States of America has been the hope, the promise, the light and the glory of all the nations of the world…",
    "hook3s": "For 250 years, the United States of America has been the hope",
    "hookStartSeconds": 0.46,
    "status": "ok",
    "language": "en",
    "segments": [
        { "start": 0.46, "end": 5.46, "text": "For 250 years, the United States of America has been the hope" }
    ],
    "srt": "1\n00:00:00,460 --> 00:00:05,460\nFor 250 years, the United States of America has been the hope\n",
    "vtt": "WEBVTT\n\n00:00:00.460 --> 00:00:05.460\nFor 250 years, the United States of America has been the hope\n",
    "srtFileUrl": "https://api.apify.com/v2/key-value-stores/…/records/Dabg9j1xNHM.srt",
    "vttFileUrl": "https://api.apify.com/v2/key-value-stores/…/records/Dabg9j1xNHM.vtt",
    "transcriptSource": "whisper",
    "whisperModel": "tiny",
    "transcribedAt": "2026-07-15T09:49:00.990Z"
}

Key output fields

Field	Description
transcript	Full spoken text of the video.
hook3s	Spoken text that starts in the first 3 seconds (always present).
hookStartSeconds	Offset of that hook, or null if there is no speech.
status	ok for a transcript. Anything else is an uncharged row: no_speech, or the reason a reel was not delivered (too_long, private_or_gone, no_audio, deadline, transport, transcription_failed), with error saying what to change. Only ok rows are charged.
segments	Array of {start, end, text} timestamped chunks (subtitle-ready).
srt / vtt	The transcript as ready-made SubRip and WebVTT subtitle text.
srtFileUrl / vttFileUrl	Direct download links to the .srt / .vtt files.
language	Detected (or specified) spoken language.
username / fullName	Creator handle and display name.
caption	The post's written caption.
likeCount / commentCount	Engagement metrics when available.
durationSec	Video length in seconds.
transcribedAt	UTC timestamp of transcription.
analysis	On-screen text, hook, CTA, beats and structure read from sampled frames. Only with analyzeReel.
analysis.onScreenText	Text shown on the video — caption cards, prices, step numbers, URLs — that audio transcription cannot capture. Also onScreenTextCards and onScreenTextJoined.
analysis.hookOnScreen	The on-screen hook: the text written on the opening frames.
analysis.ctaText	The call to action, spoken or on screen.
analysis.beats / analysis.structure	The reel's beat-by-beat breakdown and its overall structure.
summary	Two to four sentences on what the reel covers, in the reel's language. Only with summarize.
summaryChapters	{start, end, startTime, title} per chapter, timed from the transcript itself.
summaryKeywords	The names, topics and terms that matter most, most important first.
summaryError	Why a summary is missing on a row that asked for one. The transcript is unaffected.
breakdownSummary	What the reel is about, two to four sentences. Only with aiBreakdown.
breakdownWhyItWorks	Why the reel holds attention and earns engagement: pacing, structure, the promise it makes and keeps.
breakdownHookText / breakdownHookType / breakdownHookWhyItWorks	The opening line that stops the scroll, its type (question, bold_claim, listicle, contrarian, story, demo, problem, statistic, other) and why it works.
breakdownKeyPoints	The main points or takeaways, most important first.
breakdownCtaText / breakdownCtaType	What the creator asks the viewer to do, and its type (follow, comment, dm, link_in_bio, save, share, purchase, subscribe, visit, other); empty when the reel asks for nothing.
breakdownContentFormat / breakdownTone / breakdownAudience	Short labels for the format (tutorial, listicle, story, review…), the tone, and who the reel is for.
breakdownTopics	Topic tags for the reel.
breakdownSegments	{start, end, startTime, title} per moment of the reel, timed from the transcript itself.
breakdownError	Why a breakdown is missing on a row that asked for one. The transcript is unaffected.
transcriptClean	The transcript with misheard words corrected ("no-boyo-bree" becomes "no-boil brie"). Only with cleanTranscript; empty when the text did not come from the on-device model.
transcriptCleanError	Why transcriptClean is missing on a row that asked for it.
asrEngine	Which engine produced the spoken text: whisper-local, groq or subtitles (Instagram's own track).

Free Apify plan

On the free Apify plan, the first 3 transcripts of each run come back in full, so you can check the data. After that, rows keep the reel's id, shortcode, URL, creator, caption, upload time, duration, language and status, while the transcript and spoken hook are cut to their first 3 characters, the segments, subtitle text, subtitle files and thumbnail URL are hidden, and the reel analysis and summary text are cut or hidden. Like, comment and view counts are rounded to their order of magnitude, and a freePlanNote field marks those rows. Any paid Apify plan returns every field in full. The reel analysis (analyzeReel), the AI summary (summarize) and the AI video breakdown (aiBreakdown) are available on paid Apify plans only, so on the free plan they are off for the whole run; transcription itself is unaffected.

FAQ

Coming from another Instagram transcript actor? If a listing charged you and returned cached or empty text, or failed on a handle / channel scrape, this actor transcribes the audio with on-device Whisper on every run. Price is $0.015 per delivered transcript on the Free plan and $0.0065 on Gold and above (vs $0.026 on the 2★ volume listing). Silent and music-only reels are written with status: no_speech and not charged. A handle (nasa, @nasa) lists recent reels; there is no channel-scrape mode that invents captions. Failed items land in the ERRORS key-value record with a reason — they are not billed.

What does it cost? A flat price per delivered transcript, set by your Apify plan: $0.015 Free, $0.0095 Bronze, $0.007 Silver, $0.0065 Gold and above, plus a $0.0001 run start. A 10-minute IGTV costs the same as a 15-second Reel. Silent / music-only reels (status: no_speech) and skipped items are never charged.

Can it break a reel down like a creative brief? Yes. Turn on aiBreakdown and every reel with speech gets a breakdown next to its transcript: a summary, why it works, the hook and its type, key points, the call to action, format, tone, audience, topics and timestamped segments. It runs in the same run as the transcript, so there is no second actor to chain. For the text written on the video and the shot-by-shot beats, add analyzeReel as well.

Do I need an Instagram account or cookies? No. The actor works on public videos without any login.

Can I get subtitle files? Yes. Every row carries the full srt and vtt text plus srtFileUrl / vttFileUrl download links (after the first 3 rows of a free-plan run these are hidden, see Free Apify plan above) — drop them straight into CapCut, Premiere, DaVinci Resolve or Instagram's own caption upload.

Why not just read Instagram's captions? Instagram does not expose a caption/subtitle track to logged-out clients. This actor transcribes the actual audio, so you get text even for videos the creator never captioned.

What about image posts or carousels with no video? They're detected and skipped (reported as skipped, not charged) — there is no audio to transcribe.

What about carousel posts with videos? A carousel is one row. Its video slides are transcribed in the order they play, as one transcript, and carouselVideoCount and carouselSlides (each slide's start and end second) show how the post was put together. With the on-screen text option on, a frame is read from every slide. One transcript charge per post, and maxDurationSec applies to the slides' total length.

Which languages are supported? 30+ via Whisper. Set language for best speed/accuracy, or use auto.

Why is tiny the default model? It is ~5× faster than larger models and reliable on Apify's CPU. Use base/small for higher accuracy on clear speech; they are slower and can time out on long videos.

Support

• Found a bug or need a new field? Open a ticket on the Issues tab of this actor — it's the fastest way to reach me and I actively maintain this scraper.
• Email: muhamed.didovic@gmail.com
• Website: muhamed-didovic.github.io

Additional Services

Need something beyond the standard output? I build and maintain custom scrapers and data pipelines. Happy to help with:

• Transcripts from other platforms (TikTok, YouTube, Douyin) in the same output shape
• Scheduled, incremental transcript feeds wired into your CMS, data warehouse, or vector store
• Custom fields, summaries, translations, or export formats tailored to your workflow
• Private or dedicated actors for high-volume or compliance-sensitive use

Reach out via the Issues tab or email and describe what you need.

Explore More Scrapers

More of my actors in the same space:

• Social Video Transcript Scraper — transcribe TikTok and Instagram videos in one run, same Whisper pipeline
• Douyin Scraper — Chinese TikTok profiles, videos and search
• YouTube Shorts Scraper — Shorts metadata at scale
• Instagram Profile Scraper — profiles, followers, bio and contact data

Browse the full catalog — job boards, business directories, review sites, social platforms — on my profile: memo23 on Apify.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/instagram-transcript-scraper).

Purpose: Transcribe public Instagram Reels, video posts and IGTV to text with on-device Whisper AI, returning one row per video with metadata, hook3s, a full transcript and timestamped segments.

Minimal input:

{
    "handles": ["nasa"],
    "maxReelsPerHandle": 5,
    "maxItems": 5
}

Output: one row per video — id, shortcode, url, username, userId, fullName, caption, durationSec, thumbnailUrl, timestamp, uploadDate, likeCount, commentCount, viewCount, isVideo, transcript, hook3s, hookStartSeconds, status, language, segments [{ start, end, text }], srt, vtt, srtFileUrl, vttFileUrl, transcriptSource, whisperModel, transcribedAt. With summarize: summary, summaryChapters [{ start, end, startTime, title }], summaryKeywords, summaryError. With aiBreakdown: breakdownSummary, breakdownWhyItWorks, breakdownHookText, breakdownHookType, breakdownHookWhyItWorks, breakdownKeyPoints, breakdownCtaText, breakdownCtaType, breakdownContentFormat, breakdownTone, breakdownAudience, breakdownTopics, breakdownSegments [{ start, end, startTime, title }], breakdownError. With cleanTranscript: transcriptClean, transcriptCleanError. Always: asrEngine. Carousel posts: carouselVideoCount, carouselSlides [{ index, startSec, endSec }].

Behaviors an agent should know:

• Accepts handles / profile URLs, reel /p/ /tv/ URLs, datasetId / datasetItems, direct .mp4 videoUrls (including record URLs from your own key-value store), and videoStoreIds to read whole stores. Empty input transcribes one sample reel (charged if speech is delivered) unless watchlistId / newReelsOnly emptied the list.
• watchlistId + newReelsOnly persist seen shortcodes in a named KV store so a scheduled run only transcribes new reels. newReelsOnly without watchlistId is ignored.
• Image-only posts are skipped (not charged). status: no_speech rows are written and not charged.
• Always set maxItems; transcription is the slow, billed step, so start small.
• whisperModel is tiny (default, fastest) / base / small; base/small are more accurate but slower and can time out on long videos.
• language accepts an ISO code (en, es, ar) or auto; setting it is faster and more accurate than auto-detect.
• maxDurationSec (default 300) skips videos longer than the limit; includeSegments toggles the timestamped segments array.
• summarize: true adds summary, summaryChapters and summaryKeywords, written by Claude Haiku 5.5 from the transcript in the reel's own language. Chapter starts come from the transcript's timestamps, so they always land inside the recording. A reel with no speech is not summarized; a summary that fails leaves the transcript intact and puts the reason in summaryError.
• aiBreakdown: true adds the breakdown* fields: a creative brief per reel (summary, why it works, hook text/type/why, key points, CTA text/type, content format, tone, audience, topics, timestamped segments), written from the transcript in the reel's own language. breakdownHookType and breakdownCtaType come from closed lists, so they sort and count across a batch. A reel with no speech is not broken down; a breakdown that fails leaves the transcript intact and puts the reason in breakdownError. Paid plans only; billed per breakdown delivered.
• cleanTranscript: true adds transcriptClean, the transcript with misheard words corrected by Haiku 4.5 (measured on English reels: about a fifth fewer word errors, never worse). transcript stays verbatim. Paid plans only; $0.003 per clean transcript delivered.
• Flat per-transcript price by plan tier ($0.015 Free, $0.0095 Bronze, $0.007 Silver, $0.0065 Gold+) plus a $0.0001 run start; skipped and no_speech items are not charged. summarize bills its own event per summary delivered, and only when one is delivered.

⚠️ Disclaimer

This actor collects only publicly available data from Instagram and is intended for lawful uses such as research, accessibility and content analysis. You are responsible for how you use the output, including compliance with Instagram's Terms of Service, applicable copyright, and data-protection laws (e.g. GDPR/CCPA) where relevant. Do not use transcripts to infringe copyright or process personal data unlawfully.

SEO Keywords

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