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Loom Video Downloader

Pricing

$10.00/month + usage

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Loom Video Downloader

Loom Video Downloader

Collect Loom video data including titles, durations, view counts, transcripts, captions, thumbnails, and download links. Supports both share and embed URLs. Get structured data from any public Loom video — no login required.

Pricing

$10.00/month + usage

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Developer

ParseForge

ParseForge

Maintained by Community

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2

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3 days ago

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🎥 Loom Video Downloader

🚀 Pull Loom video data and download links in seconds. Titles, durations, view counts, transcripts, captions, thumbnails, owner info. No login, no API key.

🕒 Last updated: 2026-05-08 · 📊 15+ fields per video · 📝 Transcripts + captions · 🚫 No auth required

Pull live Loom video data without logging in. Pass a list of Loom share URLs and the actor returns one structured record per video with title, duration, view count, owner info, thumbnails, direct download URL, full transcript, and WebVTT captions. Built for content teams archiving knowledge bases, agencies repurposing client recordings, researchers studying screen-recorded content, and anyone who needs Loom data programmatically.

Every run fetches data live so you get the current state of each video, not a stale dump. The transcript and captions can be toggled off for a faster, lighter run when you only need metadata.

👥 Built for🎯 Primary use cases
Content and knowledge teamsArchive Loom recordings into your CMS
Agencies and consultanciesRepurpose client recordings into content
Sales enablementIndex demo videos with full transcripts
Researchers and accessibilityConvert recordings into searchable text
Engineering teamsSync Loom uploads into internal video apps
Compliance and auditCapture recorded sessions with metadata

📋 What the Loom Video Downloader does

  • 🎥 Direct download URL. Get the actual video file URL for download or storage.
  • 📝 Full transcript. Fetches the spoken content as a single text block.
  • 📋 WebVTT captions. Time-coded subtitles in standard format for video players.
  • 🖼️ Thumbnails. Primary preview image URL.
  • 👤 Owner info. Name and avatar of the creator.
  • 📊 Video metadata. Title, description, duration, view count, share status.

The actor accepts a list of Loom share URLs (/share/ or /embed/) and processes each independently. Records stream into the dataset as videos finish processing, so you can start consuming results before the run is fully done.

💡 Why it matters: Loom is a critical knowledge surface for many companies but lacks bulk export. A live, structured pull beats screen-recording downloads for archiving, repurposing, and search workflows.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Drive via Apify integrations.


⚙️ Input

FieldTypeNameDescription
urlsarray of stringsLoom Video URLsRequired. Loom share or embed URLs (e.g. https://www.loom.com/share/abc123).
maxItemsintegerMax ItemsFree users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
includeTranscriptbooleanInclude TranscriptWhen true, fetches the full video transcript. Default true.
includeCaptionsbooleanInclude Captions (VTT)When true, fetches WebVTT captions with timestamps. Default true.
proxyConfigurationobjectProxy ConfigurationOptional. Loom works without proxy; enable only if you hit rate limits.

Example 1. Three Loom videos with transcripts and captions.

{
"urls": [
"https://www.loom.com/share/abc123",
"https://www.loom.com/share/def456",
"https://www.loom.com/share/ghi789"
],
"includeTranscript": true,
"includeCaptions": true,
"maxItems": 3
}

Example 2. Metadata-only run (no transcript or captions).

{
"urls": [
"https://www.loom.com/share/abc123"
],
"includeTranscript": false,
"includeCaptions": false,
"maxItems": 1
}

⚠️ Good to Know: turning off includeTranscript and includeCaptions makes runs much faster when you only need metadata or download links.


📊 Output

The dataset returns one structured record per Loom video. Each record carries identifiers, title, duration, view count, owner info, download URL, transcript, captions, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

FieldTypeExample
🆔 videoIdstringe41353f2fe1c43eba6c6829693e0f2c5
🔗 videoUrlstring (url)https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5
📝 titlestringQ2 Product Update
📃 descriptionstringWalkthrough of new dashboard features...
🖼️ thumbnailUrlstring (url)https://cdn.loom.com/sessions/.../thumb.jpg
⏱️ durationSecondsnumber345
👁️ viewCountnumber1240
👤 ownerNamestringJane Smith
🖼️ ownerAvatarUrlstring (url)https://cdn.loom.com/avatars/jane.jpg
📅 createdAtISO datetime2026-04-12T14:30:00.000Z
🔗 downloadUrlstring (url)https://cdn.loom.com/sessions/.../video.mp4
📝 transcriptstring or nullWelcome to our Q2 update. Today I want to walk you through...
📋 captionsstring or nullWEBVTT\n\n00:00.000 --> 00:05.000\nWelcome to our Q2 update.\n...
🔒 isPublicbooleantrue
📅 scrapedAtISO datetime2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (with transcript and captions)

{
"videoId": "e41353f2fe1c43eba6c6829693e0f2c5",
"videoUrl": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5",
"title": "Q2 Product Update",
"description": "Walkthrough of new dashboard features and roadmap.",
"thumbnailUrl": "https://cdn.loom.com/sessions/thumb-abc.jpg",
"durationSeconds": 345,
"viewCount": 1240,
"ownerName": "Jane Smith",
"ownerAvatarUrl": "https://cdn.loom.com/avatars/jane.jpg",
"createdAt": "2026-04-12T14:30:00.000Z",
"downloadUrl": "https://cdn.loom.com/sessions/video-abc.mp4",
"transcript": "Welcome to our Q2 product update. Today I want to walk you through the new dashboard features and the roadmap for next quarter.",
"captions": "WEBVTT\n\n00:00.000 --> 00:05.000\nWelcome to our Q2 product update.\n\n00:05.000 --> 00:12.000\nToday I want to walk you through the new dashboard features.",
"isPublic": true,
"scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Metadata-only record

{
"videoId": "abc123def456",
"videoUrl": "https://www.loom.com/share/abc123def456",
"title": "Sales demo - Acme Corp",
"thumbnailUrl": "https://cdn.loom.com/sessions/thumb-def.jpg",
"durationSeconds": 612,
"viewCount": 47,
"ownerName": "Carlos Garcia",
"createdAt": "2026-04-20T09:15:00.000Z",
"downloadUrl": "https://cdn.loom.com/sessions/video-def.mp4",
"transcript": null,
"captions": null,
"isPublic": true,
"scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Private or restricted video (sparse fields)

{
"videoId": "private789",
"videoUrl": "https://www.loom.com/share/private789",
"title": null,
"isPublic": false,
"scrapedAt": "2026-05-08T12:00:00.000Z"
}

✨ Why choose this Actor

Capability
🎯Built for the job. Scoped specifically to Loom so you skip the parser engineering entirely.
🔖Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
Fast. Optimized request patterns return results in seconds, not minutes.
🔁Always fresh. Every run pulls live data, so the dataset reflects Loom as of run time.
📝Transcripts and captions. Toggle them on or off depending on your workflow.
🛡️Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade Loom data without writing or maintaining your own scraper.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Loom Video Downloader (this Actor)$5 free credit, then pay-per-useAny public Loom URLLive per runPer-URL⚡ 2 min
Browser screen-recordTime-intensiveLimitedStaleNone🐢 Hours
Loom paid export tools$$ monthlyLoom-onlyLiveLimited⏳ Hours
Build your own scraperEngineering hoursFull once builtWhenever you maintain itCustom code🐢 Days to weeks

Pick this Actor when you want fast, structured Loom data without owning the infrastructure.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Loom Video Downloader page on the Apify Store.
  3. 🎯 Add Loom URLs. Paste your Loom share URLs and (optionally) toggle transcript and captions.
  4. 🚀 Run it. Click Start and let the Actor process each video.
  5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to first record: 3-5 minutes for a single Loom video.


💼 Business use cases

📊 Content and knowledge management

  • Archive recorded knowledge into your CMS or wiki
  • Build searchable transcript libraries
  • Index Loom recordings for full-text search
  • Repurpose recordings into blog posts and social clips

🏢 Sales and enablement

  • Bulk-archive demo recordings for training
  • Build searchable demo libraries by topic
  • Auto-generate demo highlights from transcripts
  • Power onboarding flows with curated recordings

🎯 Marketing and content ops

  • Repurpose Loom walkthroughs into video shorts
  • Auto-generate captions for accessibility
  • Mine transcripts for blog post content
  • Build show-notes-style summaries at scale

🛠️ Engineering and product

  • Sync Loom uploads into internal video apps
  • Replace fragile browser-recording flows
  • Wire datasets into your apps via the Apify API or webhooks
  • Skip the auth and download-handling maintenance entirely

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🤝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

🧪 Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

🔌 Automating Loom Video Downloader

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

Schedules. Use Apify Scheduler to process new Loom URLs on a cron cadence. Combine with webhooks to trigger downstream workflows the moment a video is processed.


❓ Frequently Asked Questions

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in monthly credit. That is enough to run the actor several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. Create a free Apify account here.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If a Loom URL fails (private, deleted, or rate-limited), the actor records the error on that record and continues with the rest. Re-run the actor or open our contact form.

📏 How many Loom videos can I process per run?

Free users are limited to 10 videos per run so you can preview the output. Paid users can raise maxItems up to 1,000,000 per run.

🔒 Can it download private Loom videos?

No. The actor only processes publicly shared Loom videos. Private videos behind workspace login are not accessible.

📝 What languages do transcripts support?

Transcripts come directly from Loom's transcription service and support all languages Loom supports. The actor passes them through as-is.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Drop new Loom URLs into the input each cycle.

🏪 Can I use the data commercially?

Yes. Recordings you have rights to are yours to use in your own internal pipelines, products, and reports.

💼 Which plan should I pick for production use?

Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your video volume and refresh cadence.

🛠️ Can you add transcript timestamps as an array?

Open the contact form and tell us about your use case. We add features regularly when there is a clear use case behind the request.

Only download recordings you have rights to. You are responsible for compliance with copyright, privacy, and Loom's Terms of Service in your jurisdiction.


🔌 Integrate with any app

Loom Video Downloader connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe results into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a video finishes processing, like firing a transcription summary actor or pinging a Slack channel.


💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


🆘 Need Help? Open our contact form to request a new actor, propose a custom project, or report an issue.


⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Loom or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The actor accesses only publicly shared Loom URLs and is intended for legitimate research, content, and archival workflows. Users are responsible for ensuring they hold the rights to download the recordings they submit and for compliance with Loom's Terms of Service.