Earnings Reports Scraper: SEC 8-K Press Releases
Pricing
$10.00 / 1,000 earnings reports
Every quarterly earnings release filed with the SEC as an 8-K (Item 2.02), with the full press-release text, headline EPS and revenue figures, tickers, and exhibit links. Filter by date range or tickers. Official EDGAR source, no API key.
You can access the Earnings Reports Scraper: SEC 8-K Press Releases 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 = { "tickers": [] }9
10# Run the Actor and wait for it to finish11run = client.actor("tapedawn/earnings-reports-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 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 Reports Scraper: SEC 8-K Press Releases API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: