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Stockanalysis Scraper — No Login, $10/1k

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Scrape financial data from StockAnalysis.com — income statements, balance sheets, cash flow, ratios, statistics, forecasts, and more. Supports any US stock ticker. No API key required. No login or cookies. MCP-ready for AI agents. $10 per 1,000 records.

Pricing

from $10.00 / 1,000 result items

Rating

0.0

(0)

Developer

Fortuitous Pirate

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Lead generation

Automation

Developer tools

You can access the Stockanalysis Scraper — No Login, $10/1k 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.

Python

JavaScript

CLI

OpenAPI

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    "tickers": ["AAPL"],
10    "dataTypes": [
11        "overview",
12        "financials",
13    ],
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("fortuitous_pirate/stockanalysis-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
21for item in client.dataset(run.default_dataset_id).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Stockanalysis Scraper — No Login, $10/1k API in Python

The Apify API client for Python is the official library that allows you to use Stockanalysis Scraper — No Login, $10/1k API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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