Loom Transcript Scraper

Loom Transcript Scraper 🔍

Loom Transcript Scraper automatically fetches Loom video transcripts for one or more Loom video URLs and saves the extracted transcript phrases into a structured dataset—so you can turn caption text into usable data faster. If you’re looking for a Loom transcript scraper, a Loom video transcript downloader, or a tool to extract Loom captions at scale, this actor is built for exactly that. Whether you’re a marketer, researcher, or data analyst, it helps you quickly compile “Loom transcript to text” results from public web pages, saving you hours of manual copying and formatting.

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🚀 Why choose Loom Transcript Scraper?

Feature	Benefit
✅ All-in-one transcript fetching	Process multiple Loom video URLs in one run and store results together
✅ Proxy configuration with fallback	Improves reliability by switching proxy modes if requests are rejected
✅ Retry mechanism for resilience	Uses up to 3 retry attempts to handle transient failures
✅ Structured output dataset	Produces consistent fields like transcript, transcript_count, and status for easy export
✅ Scales for batches	Takes an array of start URLs and processes them sequentially with progress logging
✅ Direct dataset saving	Pushes each video’s result immediately to the dataset for safer long runs

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🔑 Key features

• 🧾 Transcript phrases extraction: Converts Loom captions into a list of phrases with start timestamps and value text
• 🌐 Loom URL support: Accepts one or more Loom video links via startUrls
• 🛡️ Proxy resilience: Supports proxy configuration and falls back when Loom blocks requests
• 🔄 Retries for reliability: Attempts transcript retrieval multiple times per video when failures occur
• 💾 Real-time saving to dataset: Saves each processed video’s result immediately to reduce the risk of losing progress
• 📊 Completion-ready counts: Calculates transcript_count and marks status as a boolean for quick filtering
• 🧠 Clear success vs failure results: Stores an empty transcript with status: false (and error_message in failure cases) so you can audit what didn’t work
• 🕒 Timestamped records: Adds an ISO timestamp per video for traceability and re-runs

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📝 Input

Provide input via an input.json file. Example structure:

{
  "startUrls": [
    "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Input Fields

Field	Required	Description
startUrls	✅	An array of Loom video URLs to scrape (for example: https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5). Add one or more links.
proxyConfiguration	❌	Proxy settings for the scraper. If enabled, the actor creates a proxy configuration; if disabled, it connects directly and can fall back if Loom blocks requests.
• proxy support	❌	Set to true to enable Apify Proxy; false to start without it (direct connections) and rely on fallback behavior if needed.

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📦 Output

The actor saves each video’s transcript result in JSON format to the dataset “Scraped Videos Transcripts” (table view: URL, Video ID, Transcript, Transcript Count, Status, Timestamp).

Example output record:

[
  {
    "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5",
    "video_id": "e41353f2fe1c43eba6c6829693e0f2c5",
    "transcript": [
      { "start": 0, "value": "Hello and welcome..." }
    ],
    "transcript_count": 1,
    "status": true,
    "timestamp": "2026-05-20T12:34:56.789123"
  }
]

In failure cases, the actor still pushes a record with status: false and includes used_proxy_type and error_message.

{
  "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5",
  "video_id": "e41353f2fe1c43eba6c6829693e0f2c5",
  "transcript": [],
  "transcript_count": 0,
  "status": false,
  "used_proxy_type": "error",
  "timestamp": "2026-05-20T12:34:56.789123",
  "error_message": "..."
}

Output Fields

Field	Type	Description
url	string	The Loom video URL that was processed
video_id	string	The extracted Loom video identifier from the URL
transcript	array	The fetched transcript phrases as an array of objects (each with start and value)
transcript_count	number	The number of transcript phrases found (len(transcript)), or 0 on failure
status	boolean	true when a transcript was successfully fetched; otherwise false
timestamp	string	ISO-formatted timestamp when the record was created
used_proxy_type	string	Present in error records to indicate the proxy state when processing failed ("error" in the pushed error record)
error_message	string	Present in error records with the error details; not included in the success record

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🚀 How to use Loom Transcript Scraper (via Apify Console)

1. Open Apify Console: Log in at https://console.apify.com and go to the Actors tab.
2. Find the actor: Search for Loom Transcript Scraper and open its listing.
3. Add your input: In the INPUT panel, paste your startUrls array with one or more Loom share links.
4. Optional: configure proxy: In proxyConfiguration, set proxy support as needed. If you leave it disabled, the actor will use direct connections and can fall back if Loom blocks requests.
5. Run the actor: Click Run to start. You’ll see logs as each Loom URL is processed, including retry/fallback behavior when applicable.
6. Review results: When finished, open the OUTPUT tab and view the dataset “Scraped Videos Transcripts.”
7. Export: Download the dataset in JSON and/or CSV format from the dataset page (depending on available export options).

No coding required—get transcript phrases extracted from Loom videos in minutes. 🎉

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⚙️ Advanced features & SEO optimization

• 🔄 Engineered for “Loom transcript scraper” workflows: Built to turn Loom captions into a clean transcript phrases list you can analyze or reuse
• 🛡️ Designed for reliability under blocks: Uses proxy configuration and fallback behavior if requests are rejected
• 🧩 “Loom transcript to text” ready output: Stores transcript phrases in a structured array format for easy downstream processing
• 📊 “Loom subtitles scraper” friendly: Captions are returned as timestamped phrase objects (start, value)—ideal for transcript export pipelines
• 📝 Detailed run logging: Progress and failure reasons are logged during execution to help you troubleshoot runs quickly

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🎯 Best use cases

• 📈 Marketing teams: Automatically fetch Loom transcript export text for repurposing into blog drafts, ad scripts, and landing page sections
• 🎓 Researchers: Build datasets from Loom captions to support qualitative analysis (coding themes, sentiment, or discourse analysis)
• 🧑‍💻 Product & UX teams: Collect “Loom transcript downloader” outputs from onboarding demos to identify pain points and recurring questions
• 📚 Educators & course creators: Extract Loom subtitles and quickly convert them into editable study notes
• 🔎 Agencies & analysts: Compare narrative patterns across multiple creator or customer Loom videos using transcript_count and status filtering
• 🤖 Automation builders: Feed “automatically fetch Loom transcripts” results into your CRM or ETL pipeline for consistent structured ingestion
• 🗂️ Content operations: Standardize caption extraction (Loom video transcript parser) across batches of share links

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🔧 Technical specifications

• Supported Input Formats
  • ✅ startUrls as an array of Loom video URLs (from the actor’s startUrls schema)
• Proxy Support
  • ✅ proxyConfiguration.proxy support (when enabled, the actor creates a proxy configuration)
  • ✅ Automatic fallback behavior when Loom blocks requests (direct → fallback through other proxy modes)
• Retry Mechanism
  • ✅ Up to 3 retries per transcript fetch attempt
• Dataset Structure
  • ✅ Dataset name: “Scraped Videos Transcripts”
  • ✅ Saved fields: url, video_id, transcript, transcript_count, status, timestamp (plus error fields in failure records)
• Rate Limits & Performance
  • ✅ Designed to process multiple URLs in a single run with controlled request concurrency (limit_per_host=2)
• Limitations
  • ❌ If a transcript cannot be fetched for a video, the actor records an empty transcript (transcript: []) and sets status: false

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❓ FAQ

Do I need to log in to use Loom Transcript Scraper?

✅ No login is required in the actor UI for basic operation. You just provide startUrls with Loom video links, and the actor fetches transcripts from publicly available sources.

What does Loom Transcript Scraper return?

✅ It returns transcript phrases in the dataset under the transcript field, where each phrase includes a start timestamp and value text. It also returns transcript_count and a boolean status.

Can I download Loom subtitles in a structured format?

✅ Yes. The actor stores the transcript phrases as an array in JSON, which can be exported from Apify’s dataset for use as “Loom subtitles scraper” output or for “Loom transcript export” workflows.

How does proxy configuration work?

✅ You can set proxyConfiguration.proxy support. If enabled, the actor creates a proxy configuration; if disabled, it uses direct connections and can fall back if requests are rejected.

What happens if a video has no transcript or the request fails?

❌ The actor still saves a record. It will use transcript: [], transcript_count: 0, and status: false, and it includes used_proxy_type and error_message in error records.

Can I use this for large batches of Loom videos?

✅ Yes. Provide multiple links in startUrls as an array. The actor processes each URL and pushes results immediately to help keep long runs reliable.

Can I integrate the output with Python or APIs?

✅ Yes. Since the actor writes data to an Apify dataset in JSON-ready records (including transcript and video_id), you can export the dataset and load it into your Python, analytics, or downstream pipeline.

Is this tool compliant with privacy rules?

✅ The actor is intended to collect information from publicly available sources. It’s still your responsibility to ensure your use complies with applicable laws (including GDPR/CCPA), platform policies, and relevant regulations.

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🤝 Support & feature requests

Have feedback or want to improve your Loom Transcript Scraper results? We’d love to hear from you. 💬

• 💡 Feature Requests: Want enhancements like additional export formats, better transcript structuring, or custom post-processing? Share the details of what would make your “Loom transcript scraper” workflow smoother.
• 📧 Contact: Reach us at dataforleads@gmail.com.

Your feedback directly shapes the roadmap and helps us keep this Loom transcript extraction tool useful for real-world batches.

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Loom Transcript Scraper — final thoughts 🚀

If you need the most comprehensive, SEO-optimized way to automatically fetch Loom transcripts, this Loom Transcript Scraper is built for fast, structured transcript extraction. Ready to turn captions into clean text at scale?