Use Yahoo Finance Market Data & Fundamentals Scraper with Python

Pull live quotes, historical OHLCV candles, financial statements, dividends, splits, news, analyst ratings and holder data from Yahoo Finance for any ticker, ETF, index, currency pair or crypto symbol.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "concurrency": 1,
  "includeAnalystPriceTargets": false,
  "includeDividends": false,
  "includeEarningsCalendar": false,
  "includeEarningsEstimates": false,
  "includeEarningsHistory": false,
  "includeFinancials": false,
  "includeFundData": false,
  "includeHistory": false,
  "includeHolders": false,
  "includeInsiders": false,
  "includeInsights": false,
  "includeNews": false,
  "includeOptions": false,
  "includePrePost": false,
  "includeQuarterlyFinancials": false,
  "includeRecommendations": false,
  "includeRelatedSymbols": false,
  "includeSecFilings": false,
  "includeSplits": false,
  "includeUpgradesDowngrades": false,
  "interval": "1d",
  "language": "en-US",
  "maxNews": 10,
  "maxOptionContracts": 50,
  "maxResults": 1,
  "maxSearchResults": 10,
  "mode": "tickers",
  "optionContractType": "both",
  "optionExpirations": 1,
  "range": "5d",
  "region": "US",
  "screenerId": "day_gainers",
  "screenerSort": "intradaymarketcap",
  "searchQuery": "Apple",
  "tickers": [
    "AAPL"
  ]
}

Download input.example.json and save your reviewed copy as input.json.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/pKSuSrtPEecMXeM4a/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Dataset with ticker quotes (including US post-market fields), OHLCV history, expanded financial statements, dividends, splits, up to 200 news items, analyst and earnings data, holders, options, fund data with bond ratings and sector weights, SEC filings, insights, search results, custom and predefined screener rows, trending symbols and market summary rows.

Questions before you run

Generated from source build z23J6rGwf21tmdpCT and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.