Pricing
$0.50 / 1,000 results
Our Yahoo Finance Historical Data Scraper retrieves comprehensive historical stock data including open, high, low, close prices, volume, and adjusted close values. Perfect for real-time analysis, financial modeling, and market trend evaluation with up-to-date and structured information.
You can access the Yahoo Finance Historical Data Scraper 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 Integrations settings 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 = { "input": [9 {10 "symbol": "AAPL",11 "region": "US",12 "range": "1y",13 "interval": "1d",14 "comparisons": "MSFT,GOOGL",15 },16 {17 "symbol": "TSLA",18 "region": "US",19 "range": "1d",20 "interval": "1m",21 "comparisons": "AAPL,AMZN",22 },23 {24 "symbol": "AMZN",25 "region": "US",26 "period1": 1556816400,27 "period2": 1588342800,28 },29 ] }30
31# Run the Actor and wait for it to finish32run = client.actor("axesso_data/yahoo-finance-historical-data-scraper").call(run_input=run_input)33
34# Fetch and print Actor results from the run's dataset (if there are any)35print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])36for item in client.dataset(run["defaultDatasetId"]).iterate_items():37 print(item)38
39# 📚 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 Yahoo Finance Historical Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: