Loom Transcript Scraper

Loom Transcript Scraper 🎬

Loom Transcript Scraper automatically extracts text from Loom video URLs and saves the transcript phrases to a dataset—ideal for turning Loom auto captions into usable text for research, analysis, marketing, and documentation workflows. Whether you’re looking for a loom transcript scraper, a Loom video transcript downloader, or a Loom transcript export workflow, this actor helps you scale Loom caption scraping tool results across multiple videos, saving you hours of manual work.

If you’re a marketer, data analyst, researcher, or developer trying to extract text from Loom video programmatically, you’ll get structured transcript data you can analyze or import directly into your pipeline.

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Why choose Loom Transcript Scraper?

Feature	Benefit
✅ All-in-one transcript extraction	Processes Loom video URLs and returns transcript phrases for each video in one run
✅ Proxy resilience with fallback logic	Uses built-in proxy support for reliable scraping when requests are blocked
✅ Retry mechanism	Includes retries with fallback handling to improve success when requests fail intermittently
✅ Structured output for easy reuse	Stores url, video_id, transcript, transcript_count, status, and timestamp in a consistent dataset
✅ Scales across batches of URLs	Feed multiple startUrls and get one result entry per video
✅ Automation-friendly dataset saving	Pushes results immediately so you can start exporting and analyzing without waiting for the entire batch

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Key features

• 🔍 Loom transcript phrases extraction: Retrieves transcript phrases and formats them into { start, value } segments
• 🌐 Flexible input via Loom URLs: Accepts one or more Loom share-style video URLs through startUrls
• 🛡️ Built-in proxy support + fallback: If requests are blocked, the actor automatically falls back to other proxy strategies
• 🔄 Resilient fetching with retries: Uses multiple attempts to reduce failures caused by transient issues
• 📊 Data completeness indicators: Outputs transcript_count and a boolean status so you can filter successes quickly
• 💾 Real-time dataset saving: Each video result is pushed immediately to the dataset as it’s processed
• 🧾 Consistent failure records: When something goes wrong, it still saves an entry with an empty transcript and status: false

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Input

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

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

Input Fields

Field	Required	Description
startUrls	✅	A list of Loom video URLs to scrape. Provide one or more entries in the list. The actor expects Loom share-style URLs (e.g., https://www.loom.com/share/...).
proxyConfiguration	❌	Proxy settings for the scraper. If disabled, it uses direct connections with automatic fallback to datacenter and then residential proxies if Loom blocks requests.
proxyConfiguration • proxy support	❌	Set false to start without Apify Proxy (direct connections with fallback). In the provided schema, the default is false.

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Output

After execution, the actor saves each video’s data in JSON format to the default dataset (Scraped Videos Transcripts).

Sample output entry:

[
  {
    "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5",
    "video_id": "e41353f2fe1c43eba6c6829693e0f2c5",
    "transcript": [
      {
        "start": 0.0,
        "value": "Welcome everyone!"
      }
    ],
    "transcript_count": 1,
    "status": true,
    "timestamp": "2026-06-02T12:34:56.789123"
  }
]

In failure cases, the actor pushes a record shaped the same way, with an empty transcript and additional error details:

[
  {
    "url": "https://www.loom.com/share/e41353f2fe1c43eba6c6829693e0f2c5",
    "video_id": "e41353f2fe1c43eba6c6829693e0f2c5",
    "transcript": [],
    "transcript_count": 0,
    "status": false,
    "used_proxy_type": "error",
    "timestamp": "2026-06-02T12:34:56.789123",
    "error_message": "..."
  }
]

Output Fields

Field	Type	Description
url	string	The Loom video URL that was processed
video_id	string	The extracted video ID from the end of the Loom URL
transcript	array	The transcript phrases, formatted as an array of { start, value } objects
transcript_count	number	Number of transcript phrases extracted
status	boolean	true when a transcript was successfully fetched; otherwise false
timestamp	string	ISO-formatted timestamp of when the result was saved
used_proxy_type	string	Present in error records to indicate the outcome as "error"
error_message	string	Present in error records with the error details

You can export the dataset from Apify Console as JSON or CSV (depending on your chosen export options).

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How to use Loom Transcript Scraper (via Apify Console)

1. Open Apify Console
   Log in at console.apify.com and go to the Actors tab.

2. Find Loom Transcript Scraper
   Search for Loom Transcript Scraper and open the actor page.

3. Add your input URLs
   In the INPUT panel, provide startUrls with one or more Loom video URLs (e.g. https://www.loom.com/share/...).

4. (Optional) Configure proxy settings
   If you want proxy support, configure proxyConfiguration.
   Leave proxy support as false to start with direct connections and rely on fallback if requests are blocked.

5. Run the actor
   Click Run. The actor will process each video and push results as they complete.

6. Monitor logs and progress
   Watch the runtime logs to see attempts and whether transcripts were fetched successfully.

7. Open the dataset output
   After the run finishes, open Scraped Videos Transcripts and inspect each row (one per Loom video).

8. Export results
   Export the dataset as JSON or CSV for downstream analysis, CRM ingestion, or reporting.

No coding required—get accurate results from your Loom transcript retrieval workflow in minutes 🚀

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Advanced features & SEO optimization

• 🛡️ Proxy fallback for reliable scraping: Built to keep going when Loom blocks requests by switching proxy strategies automatically
• 🔄 Retry resilience: Uses retries to handle transient failures while fetching Loom captions and transcript data
• 📦 Loom transcript export ready: Outputs a structured dataset with transcript phrases and transcript_count so you can easily filter and analyze
• 💾 Immediate saving per video: Stores each video result right away—perfect for long batches and iterative workflows
• 🧠 Engineered-for-purpose extraction: Optimized for loom transcript scraper and Loom auto transcript scraper use cases—turning Loom transcript text into usable data

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Best use cases

• 🎯 Lead generation teams enriching messaging: Convert Loom video transcripts into outreach-ready notes and talking points for campaigns
• 📚 Researchers building corpora: Collect Loom transcript text extraction output across many videos for qualitative or quantitative analysis
• 📈 Content marketers repurposing footage: Use Loom transcript to text segments to draft blog outlines, scripts, and social posts faster
• 🧾 Sales enablement and training: Build searchable transcript archives for onboarding and product training materials
• 💻 Developers building pipelines: Automate get Loom transcripts programmatically into your data workflows and internal tools
• 📊 Data analysts measuring themes and topics: Feed download Loom captions output into NLP or dashboard pipelines
• 🗂️ Operations teams standardizing documentation: Speed up transcript-based SOP creation by exporting Loom transcript export results at scale

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Technical specifications

• Supported Input Formats
  • ✅ startUrls: array of Loom video URLs (share-style URLs such as https://www.loom.com/share/...)
• Proxy Support
  • ✅ Uses proxy support when configured, with automatic fallback when Loom blocks requests
• Retry Mechanism
  • ✅ Retries up to 3 attempts for fetching transcripts, improving resilience against transient issues
• Dataset Structure
  • ✅ One dataset row per processed video
  • ✅ Fields include: url, video_id, transcript, transcript_count, status, timestamp
• Rate Limits & Performance
  • ✅ Designed for batch processing of multiple startUrls, saving each result immediately as it’s completed
• Limitations
  • ❌ If the transcript can’t be retrieved, the actor saves a failure record with transcript: [], transcript_count: 0, and status: false

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FAQ

Can Loom Transcript Scraper download Loom transcripts in batches?

✅ Yes. You can provide multiple Loom video URLs in startUrls, and the actor processes them one by one, pushing a result entry into the dataset for each video as it completes.

What output do I get back from Loom Transcript Scraper?

✅ You get a structured dataset entry per video containing url, video_id, transcript (as an array of { start, value } phrase objects), transcript_count, status, and timestamp. Failed runs are also recorded with transcript: [] and status: false.

Do I need to configure proxies?

❌ Not always. If proxyConfiguration is not provided (or proxy support is false), the actor starts with direct connections and then uses fallback strategies automatically if Loom blocks requests.

How do I integrate this into a Python or data pipeline?

💻 You don’t need to write code inside the actor. You run it in Apify Console, then export the dataset (JSON/CSV) and load it into your Python notebooks, ETL jobs, or analysis tools.

What happens if a transcript can’t be fetched for a video?

❌ The actor still pushes a dataset record with transcript: [], transcript_count: 0, and status: false, along with used_proxy_type: "error" and an error_message field.

Do you support Loom transcript export for developers?

✅ Yes. The actor’s output is already structured and consistent, making it straightforward to use as a Loom transcript API-style data source for downstream workflows (for example, transforming the transcript array into text).

Is this only for public Loom videos?

✅ The actor is intended for scraping transcript data from publicly available sources. If access is restricted or content is not available, you’ll see failures reflected in status: false and an empty transcript.

Does Loom Transcript Scraper handle caption text automatically?

✅ Yes. It retrieves the transcript phrases and formats them into a transcript array, which is useful for “Loom transcript to text” workflows and downstream analysis of caption text.

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Support & feature requests

Want to improve your Loom transcript scraping workflow with this Loom Transcript Scraper? We’d love to hear from you.

• 💡 Feature Requests: Examples include adding CSV-friendly transcript formatting, improving transcript phrase structuring for specific analytics needs, or enhancements that make the output even easier to join with other datasets.
• 📧 Contact: Send feedback to dataforleads@gmail.com.

Your feedback helps shape what we build next for Loom transcript retrieval at scale.

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Closing CTA / Final thoughts

Get the most comprehensive, SEO-optimized Loom Transcript Scraper workflow for turning Loom videos into structured transcript data—fast.