stock API Python Client

Extract stock data with our stock API Python client. Get programmatic access to trading news, volume data, market capitalization, stock prices, price-to-earnings ratios, market trends, and more using simple Python code. Start free, no credit card required.

Try stock API Python Client

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Integrate our stock API

The Apify API client for Python is the official library that allows you to use stock API in Python, providing convenience functions and automatic retries on errors. Get started with simple pip installation and robust error handling built-in.

Python

JavaScript

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "symbols": [
10        "NASDAQ:MSFT",
11        "NASDAQ:GOOGL",
12        "NASDAQ:AMZN",
13    ],
14    "proxy": {
15        "useApifyProxy": True,
16        "apifyProxyCountry": "US",
17    },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("mscraper/tradingview-stock-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

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Get data with stock API Python client

Use our Python API client to extract TradingView stock data by providing proxy configuration options. The API returns structured data, including stock prices, volume information, market cap, P/E ratios, earnings per share, sector classifications, and related news articles.

Input

{
 "proxy": {
  "useApifyProxy": true,
  "apifyProxyCountry": "US"
 },
 "symbols": [
  "NASDAQ:MSFT",
  "NASDAQ:GOOGL",
  "NASDAQ:AMZN"
 ],
 "scrapeNewsHeadlines": false
}

Output

{
 "url": "<https://www.tradingview.com/symbols/NASDAQ-MSFT>",
 "news": [
  {
   "url": "<https://www.tradingview.com/news/barchart:9419603cb094b:0-bump-up-your-long-term-portfolio-performance-with-low-beta-stocks/>",
   "title": "Bump up Your Long Term Portfolio Performance With Low Beta Stocks",
   "published": "May 17, 2023 · 02:01 PM"
  }
 ],
 "price": "312.48 USD",
 "change": "0.24%",
 "sector": "Technology Services",
 "symbol": "NASDAQ:MSFT",
 "ticker": "MSFT",
 "volume": "8.964M",
 "logoUrl": "<https://s3-symbol-logo.tradingview.com/microsoft.svg>",
 "description": "Microsoft Corporation",
 "volumeChange": "-66.47%",
 "marketCapitalization": "2.323T USD",
 "priceToEarningsRatio": "33.87",
 "earningsPerShareDiluted": "9.23 USD"
}

How to use stock API

Sign up for Apify account01

Creating an account is quick and free — no credit card required. Your account gives you access to more than 5,000 scrapers and APIs.

Get started for free

Install Apify Python client02

Install the Apify Python client using pip: pip install apify-client. This package provides a simple interface to interact with stock API from your Python applications.

Get your Apify API token03

Go to settings in the Apify console and navigate to the “API & Integrations” tab. There, create a new token and save it for later.

Integrate stock API04

Navigate to the stock API page and click on the API dropdown menu in the top right corner. In the dropdown menu, you can see API clients, API endpoints, and more. Use the provided Python code examples to integrate stock API into your Python application.

Open stock Python API

Get your stock data via API05

The stock API returns structured JSON data that works perfectly with pandas, NumPy, and other Python data analysis libraries.

Why use Apify?

Never get blocked

Every plan (free included) comes with Apify Proxy, which is great for avoiding blocking and giving you access to geo-specific content.

Customers love us

We truly care about the satisfaction of our users and thanks to that we're one of the best-rated data extraction platforms on both G2 and Capterra.

Monitor your runs

With our latest monitoring features, you always have immediate access to valuable insights on the status of your web scraping tasks.

Export to various formats

Your datasets can be exported to any format that suits your data workflow, including Excel, CSV, JSON, XML, HTML table, JSONL, and RSS.

Integrate Apify to your workflow

You can integrate your Apify runs with platforms such as Zapier, Make, Keboola, Google Drive, or GitHub. Connect with practically any cloud service or web app.

Large developer community

Apify is built by developers, so you'll be in good hands if you have any technical questions. Our Discord server is always here to help!

Python-ready stock data extraction

Connect to hundreds of apps right away using ready-made integrations, or set up your own with webhooks and our API.

Frequently asked questions

No, there is no official TradingView Python API client that provides the same comprehensive stock data available through web scraping. The TradingView Stock Scraper Python client fills this gap by extracting stock prices, trends, volume data, market capitalization, P/E ratios, and news directly from TradingView's platform, focusing specifically on US market data with 1-day intervals.

Yes, you can try the TradingView Stock Scraper with Apify's Python API client for free using Apify's $5 free usage credits every month. This allows you to extract up to 100,000 stock data results completely free through the Python API client. For larger data requirements, Apify offers paid plans starting at $49/month for up to 1,000,000 results.

You can extract comprehensive stock information using Python API client including current prices (like "312.48 USD" for MSFT), percentage changes, trading volume, volume changes, market capitalization, price-to-earnings ratios, earnings per share, company descriptions, sector classifications, logo URLs, stock symbols, and related news articles with publication dates from TradingView.

Yes, it is legal to use Python API clients to access publicly available stock data for legitimate business purposes like market analysis, research, and investment decisions. However, you should be mindful of personal data protection regulations like GDPR and ensure you have legitimate reasons for data collection. Always consult legal counsel if you're uncertain about your specific use case.

Getting started with our stock Python API is easy — simply create a free Apify account, get your API token, and start using the stock API in Python, JavaScript, CLI, cURL, OpenAPI, or MCP.