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Earnings Call Transcripts — SEC EDGAR 8-K Prepared Remarks

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Extract earnings call transcripts from SEC EDGAR 8-K filings (Exhibit 99.1). Search by ticker and date range. Returns full prepared remarks text for LLM sentiment analysis, quant signal extraction, and competitive intelligence. Free SEC public data. $0.05/transcript.

Pricing

Pay per usage

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0.0

(0)

Developer

Hojun Lee

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Monthly active users

2 hours ago

Last modified

Categories

Business

You can access the Earnings Call Transcripts — SEC EDGAR 8-K Prepared Remarks programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "tickers": [
9        "AAPL",
10        "MSFT",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("gochujang/earnings-call-transcript").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
18for item in client.dataset(run.default_dataset_id).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Earnings Call Transcripts — SEC EDGAR 8-K Prepared Remarks API in Python

The Apify API client for Python is the official library that allows you to use Earnings Call Transcripts — SEC EDGAR 8-K Prepared Remarks API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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