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Fathom CRM Conversation Transcript Export

Export public Fathom meeting transcripts for CRM imports, conversation QA, and timestamped call review.

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Fathom Public Meeting Transcript Exporter
Fathom Public Meeting Transcript Exporterautomation-lab/fathom-public-meeting-transcript-exporter
Source URL
Canonical URL
Share page public
Transcript export status
+12 fields
Text
Number
Boolean
List
Object

Input

🔗 Public Fathom share links(required)
url:https://fathom.video/share/4YJZWNy2yCE1CMb7qGTZ38v2vGJCXhvt
Maximum meetings to export:1

Output fields

Source URL
Canonical URL
Share page public
Transcript export status
Export diagnostic
Meeting ID
Meeting title
Topic
Started at
Duration (minutes)
Recording URL
Transcript segments
Transcript segment count
Summary (currently unavailable)
Action items (currently unavailable)
Scraped at

How it works

Sign up on Apify or log in

The Fathom Public Meeting Transcript Exporter Actor is ready to run with the inputs already set for "Fathom CRM Conversation Transcript Export". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Fathom CRM Conversation Transcript Export" task

The Fathom Public Meeting Transcript Exporter Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 public fathom share links and maximum meetings to export, to match your specific use case.

Receive the "Fathom CRM Conversation Transcript Export" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source url, canonical url, share page public, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Fathom CRM Conversation Transcript Export" task via API.

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Integrate "Fathom CRM Conversation Transcript Export" into your workflow

Connect "Fathom CRM Conversation Transcript Export" with 100+ integrations, or run it via API or MCP.

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