🎬 Loom Video Transcript Scraper — TXT, SRT, VTT

Get the transcript of any public Loom video — instantly, with no AI transcription and no login. Loom already auto-captions its videos; this actor reads that transcript straight from the share page and returns clean text, timestamped segments, and ready-to-use SRT/VTT subtitles, plus the video's title, owner, and duration.

Because the transcript already exists, there's no speech-to-text compute — it's fast and cheap.

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What does it do?

Point it at one or more Loom share URLs (or a folder/page full of them) and it returns, per video:

• 📝 Full transcript (plain text) — always included
• ⏲️ Timestamped segments — {start, end, text} for clipping/search
• 🎬 SRT / VTT subtitles — drop straight into a video editor
• 🏷️ Title, owner, created date, duration, privacy, description

No ASR, no API key — the transcript is read from the public share page.

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What data does it extract?

For every video:

• 🆔 share_id, 🔗 video_url, 🏷️ title
• 👤 owner, 📅 created_at, ⏱️ duration_sec, 🔒 privacy, 📝 description
• 📄 transcript (text), ⏲️ segments[], 🎬 srt, vtt, segment_count
• ✨ is_new (monitor mode), 🕒 scraped_at

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Who is it for?

• 🧑‍💼 Sales & CS teams archiving and searching Looms they send/receive.
• ✂️ Editors & marketers repurposing Loom recordings into docs, clips, and posts.
• 📚 Knowledge-base builders turning async video into searchable text.
• 🤖 AI / RAG pipelines feeding video content to LLMs as text.

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How to use it (step by step)

1. Click Try for free.
2. Paste one or more Loom share URLs (e.g. https://www.loom.com/share/{id}) — or a folder/page URL that links to several.
3. (Optional) pick extra formats (srt, vtt, segments).
4. Click Start, then open the Dataset tab to view/export.
5. (Optional) set monitorMode + a folderUrl + a Schedule to transcribe new videos automatically.

Quick start

{ "shareUrls": ["https://www.loom.com/share/71c758748f60497fa1267c19ba667f57"], "transcriptFormats": ["txt", "srt"] }

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Input

Field	What it does
shareUrls	Loom share URLs / 32-char IDs to transcribe
folderUrl	a public page/folder of Loom links to harvest IDs from
transcriptFormats	txt · segments · srt · vtt
maxVideos	hard cap per run (0 = unlimited)
monitorMode, alertOnNewVideo	recurring new-video watcher + alerts
webhookUrl, slackWebhookUrl, emailRecipients	alert channels
proxyConfiguration, requestConcurrency	proxy + parallelism

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Output

Each video is one dataset record (fields above). Export to JSON, CSV, Excel, HTML, or RSS, or fetch via the Apify API. srt/vtt are ready-to-use subtitle files.

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How much does it cost?

Pay-per-event — and because there's no transcription compute, it's cheap:

Event	What it covers	Suggested price
lot-scraped	each video returned	~$0.005 / video
lot-detail-enriched	each transcript fetched	~$0.005 / video
monitor-run-completed	each scheduled watch run	~$0.05 / run
new-lot-detected	each newly-seen video	~$0.02 / video
alert-delivered	each Slack/email/webhook push	~$0.005 / alert

(Final per-event prices are set on the actor's pricing page.)

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How does it work without AI transcription?

Loom auto-generates a transcript for every public video. The public share page ships the video's metadata and a (short-lived, pre-signed) link to that transcript. This actor reads the existing transcript — it does not run speech-to-text, so there's no GPU/compute cost and results are instant.

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Is it legal to scrape Loom transcripts?

This actor reads publicly shared Loom videos (public / anyone-with-link) and their existing transcripts; it cannot access workspace-restricted videos (those return no transcript and are reported as unavailable). The output includes the video owner's display name and spoken content, which may be personal data. Scraping public data is generally legal, but you are responsible for your use — review Loom's Terms of Service and only process videos you're authorized to.

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FAQ

Does it transcribe private/internal Loom videos? No. Only public / anyone-with-link videos expose a transcript. Restricted videos are reported as unavailable.

Is there an AI/Whisper step? No — it reads Loom's own auto-generated transcript, so it's fast and cheap with no ASR compute.

Can I get subtitles? Yes — add srt and/or vtt to transcriptFormats.

Can I auto-transcribe new videos in a folder? Yes. Set folderUrl + monitorMode + an Apify Schedule — each run handles only videos new since the last run.

How do I export? JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API.

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Feedback

Want word-level timestamps, speaker labels, or another source? Open an issue on the actor.