Earnings Calendar: EPS Estimates, Actuals & Surprise
Pricing
from $1.00 / 1,000 upcoming earnings returneds
Earnings dates with before/after-market timing, consensus EPS estimate, actual EPS, surprise % and reported revenue for any tickers or the whole market. Chain-ready ticker + date key.
You can access the Earnings Calendar: EPS Estimates, Actuals & Surprise 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 "AAPL",11 "MSFT",12 "NVDA",13 "TSLA",14 "GOOGL",15 "AMZN",16 "META",17 "JPM",18 ],19 "dateRange": {},20 "maxItems": 25,21 "proxyConfiguration": { "useApifyProxy": False },22}23
24# Run the Actor and wait for it to finish25run = client.actor("mrdoe/earnings-calendar-tracker").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")29for item in client.dataset(run.default_dataset_id).iterate_items():30 print(item)31
32# 📚 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 Calendar: EPS Estimates, Actuals & Surprise API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: