Makerhook
Use Case

Financial Data

Extract stock prices, company financials, and funding data. Get the financial intelligence you need for investment research and analysis.

InvestmentVC/PEFinancial ServicesFintech

Key Benefits

  • Track stock prices
  • Analyze company financials
  • Monitor funding rounds
  • Research investment targets
  • Build financial models
99.9%
Success rate
<2s
Avg response
230+
Scrapers available
99.9%
Uptime
<2s
Response time
24/7
Support
The Problem

Financial Data without the right tools is a headache

Building financial data systems from scratch is time-consuming and error-prone. Here's what teams typically struggle with:

Real-time data is expensive

Bloomberg and Reuters charge thousands per month for real-time financial data.

Historical data is locked away

Long-term price history and fundamentals are behind expensive paywalls.

Alternative data is scattered

Non-traditional financial signals live across many different data sources.

Compliance requirements

Financial data collection and use has regulatory implications that require care.

Integration with trading systems

Getting data into trading algorithms and analytics platforms requires custom work.

Data quality issues

Financial data errors can lead to costly trading mistakes and analysis errors.

Don't waste weeks building infrastructure. Focus on what matters—your business.

Makerhook handles all of this for you

Quick Start for Financial Data

Simple integration in any language

1import requests
2
3# Financial Data with Makerhook
4def get_financial_data_data():
5 response = requests.get(
6 url="https://api.makerhook.com/v1/scraper/yahoo-finance",
7 params={
8 "url": "TARGET_URL"
9 },
10 headers={
11 "x-api-key": "YOUR_API_KEY"
12 }
13 )
14
15 data = response.json()
16 print("Status:", response.status_code)
17 print("Data:", data)
18
19 # Process for financial data
20 return data
21
22get_financial_data_data()
Response200 OK
{
"success": true,
"request_id": "req_zjk7totx",
"credits_used": 1,
"data": {
"symbol": "example_symbol",
"price": {
"amount": 99.99,
"currency": "USD"
},
"change": "example_change",
"volume": "example_volume",
"market_cap": "example_market_cap",
"pe_ratio": "example_pe_ratio"
}
}

All responses return clean, structured JSON data ready to use in your application.

How It Works

Financial Data in 4 simple steps

Go from zero to production in minutes, not weeks

1

Choose your scrapers

Select from 230+ scrapers optimized for financial data. We recommend starting with yahoo-finance, crunchbase, linkedin.

2

Make your first API call

Use our simple REST API to request data. No complex setup, no infrastructure to manage. Just a single HTTP request.

3

Receive structured data

Get clean, normalized JSON responses in milliseconds. Data is ready to use—no parsing or cleaning required.

4

Scale your workflow

Automate financial data with scheduled jobs, webhooks, and batch processing. Handle millions of requests without infrastructure headaches.

Comparison

With vs Without Makerhook

See the difference in your financial data workflow

DIY Scraping
With Makerhook
Time to first dataDays to weeks5 minutes
InfrastructureProxies, servers, browsersOne API call
MaintenanceConstant updates neededZero maintenance
Anti-bot handlingTrial and errorBuilt-in bypass
Data formatRaw HTML to parseClean JSON
Success rate60-80%99.9%
Our Solution

Everything you need for financial data

Makerhook gives you reliable data extraction with enterprise-grade infrastructure

Global Coverage

Access data from any region with our worldwide proxy network. Get localized results for accurate financial data.

Real-time Data

Get fresh data in milliseconds. Perfect for time-sensitive financial data that requires up-to-date information.

Enterprise Security

SOC 2 compliant infrastructure with encrypted data transfer. Your financial data data is safe with us.

Developer Experience

Built for developers, by developers

Everything you need to build financial data into your product

Comprehensive documentation

Detailed guides, API reference, and examples to get you started quickly with financial data.

Code samples in every language

Python, JavaScript, PHP, Go, Ruby, and more. Copy-paste ready code for your stack.

Webhooks & async processing

Handle large-scale financial data with async callbacks and batch processing.

Expert support

Real engineers who understand financial data. Fast, helpful responses.

Ready to build financial data?

Get access to free API credits and start extracting data in minutes. No credit card required.