Financial Data Scraping
Quantitative funds, hedge funds, and fintech startups rely on alternative data for alpha generation. We engineer robust data pipelines to extract unstructured financial data, stock quotes, commodity trends, and sentiment signals from global exchanges and financial portals. Our pipelines handle data validation and schema normalization, delivering clean CSV or JSON payloads directly to your quantitative models.
What Data We Deliver
Platforms We Cover
+ Any other website in this category on request.
How Our Solution Helps You
Fundamental Data
Company financials for screening, backtesting, and portfolio analysis.
Alternative Data
Non-traditional signals: web traffic trends, job postings, sentiment indicators.
Historical Data
Multi-year historical price and fundamental data for backtesting strategies.
API Delivery
Real-time financial data via REST API — plug into your trading or analytics system.
Why Not Build It Yourself?
You're too big for manual data work, too small for a full in-house engineering team. Here's why 500+ businesses chose DataScraper instead.
Build It Yourself
Internal team or freelancer
- ✗High upfront cost
- ✗2–4 weeks to deliver
- ✗Breaks when sites update
- ✗Ongoing maintenance burden
- ✗No delivery guarantee
Off-the-shelf Tool
Apify, Octoparse, ParseHub
- ~Cheap but limited
- ~Doesn't handle anti-bot
- ~No dedicated support
- ~Generic, uncleaned output
- ~You do all the work
Data Delivered In
Frequently Asked Questions
Everything you need to know about our web scraping services.
Scraping publicly available financial data (published on public websites) is generally legal. We recommend reviewing the Terms of Service of each data source, especially for commercial use.
Yes. We provide REST API endpoints with real-time or delayed financial data that trading and analytics platforms can consume directly.
We extract publicly available options data from platforms like NSE (India) and various financial portals. Exchange-direct feed data requires an official data agreement.
Yes. We monitor earnings calendars, press release wires, and financial news sections to deliver timely fundamental catalysts alongside price data.
Yes, financial portals frequently update their DOM structures. Our automated testing pipeline detects schema changes instantly, and our team patches the scrapers within hours to ensure zero downtime for your data feeds.
Who Uses Financial Data Scraping Data?
Real projects we've delivered across industries.
Quant Hedge Funds
Alternative data signals
“A Mumbai quant fund collects daily insider trading filings, job posting trends, and earnings sentiment to build proprietary alpha signals for equity strategies.”
Fintech Startups
Real-time market feeds
“A personal finance app pulls live mutual fund NAVs and FD rates from 30+ financial portals, giving users an up-to-date portfolio snapshot without manual inputs.”
Credit Rating Agencies
Issuer financial monitoring
“A NBFC credit desk monitors 500 listed companies' quarterly filings, debt announcements, and management commentary to flag deteriorating credit profiles.”
Financial Media
Real-time data journalism
“A financial news platform aggregates live commodity prices, forex rates, and market indices from 10 sources to power their market data widgets.”
Free sample dataset before payment. Quote in 2 hours.
Ready to Get Started?
Free estimate within 2 hours and a sample dataset before you commit. No long-term contracts.