Earnings Call Transcripts Scraper — LLM-ready
Pricing
Pay per event
Scrape earnings call transcripts as clean JSON, an affordable earnings call transcript API. Get ticker, exchange, fiscal quarter, call date, participants and every speaker turn split into prepared remarks and Q&A. Filter by ticker and date. LLM/RAG-ready.
You can access the Earnings Call Transcripts Scraper — LLM-ready 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "tickers": [10 "ORCL",11 "ADBE",12 "AVGO",13 "COST",14 "LULU",15 ],16 "dateFrom": "2026-09-01",17 "dateTo": "2026-09-30",18 "maxItems": 10,19}20
21# Run the Actor and wait for it to finish22run = client.actor("istmobot/earnings-call-transcripts-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")26for item in client.dataset(run.default_dataset_id).iterate_items():27 print(item)28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Earnings Call Transcripts Scraper — LLM-ready API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: