Earnings Call Q&A Pairs Dataset for LLM & RAG

Created by

John

Actor

Earnings Call Transcript API - SEC 8-K Filings Parser & Monitor

Build an LLM training set from earnings calls: speaker-tagged Q&A pairs, prepared remarks, and full transcript text as clean JSON.

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Earnings Call Transcript API - SEC 8-K Filings Parser & Monitorjohnvc/earnings-call-transcript-api

Record Type

Ticker

Company

Title

+6 fields

Input

Tickers:AAPL+4

Data Type(required):transcripts

Max Filings Per Ticker:10

Max Transcripts Per Ticker:2

Include Full Text:true

Metadata Only (cheap mode):false

Only New Records (monitoring):false

Output fields

Record Type

Ticker

Company

Title

Event Date

8-K Items

Fiscal Quarter

Sentiment Net

Guidance Sentences

Filing URL

How it works

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The Earnings Call Transcript API - SEC 8-K Filings Parser & Monitor Actor is ready to run with the inputs already set for "Earnings Call Q&A Pairs Dataset for LLM & RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Earnings Call Q&A Pairs Dataset for LLM & RAG" task

The Earnings Call Transcript API - SEC 8-K Filings Parser & Monitor Actor will start running based on the input automatically. You can also change all the input fields, like tickers, data type, and more, to match your specific use case.

Receive the "Earnings Call Q&A Pairs Dataset for LLM & RAG" 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 record type, ticker, company, 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 "Earnings Call Q&A Pairs Dataset for LLM & RAG" task via API.