Extract financial data from
public databases automatically

ApifyForge helps analysts and researchers extract financial data by connecting to SEC EDGAR, FRED, BLS, FEC, and FDIC through dedicated Apify actors. Best for building custom datasets of filings, insider trades, and economic indicators without a Bloomberg Terminal. Less suitable when you need real-time tick-level market data. Costs $0.05-$0.15 per query.

The problem

Financial analysts spend hours navigating EDGAR, FRED, and government databases. Bloomberg Terminal costs $24,000/year. For specific data needs — insider trading patterns, Congressional trades, or niche economic indicators — these tools are overkill.

The solution

Apify actors connect directly to public financial databases: SEC EDGAR for filings and insider trades, FRED for economic time series, FEC for campaign finance, and more. Extract exactly the data you need at a fraction of the cost of enterprise terminals.

How it works

1

Define your research question

What financial data do you need? Insider trading for a specific company? GDP trends across 20 countries? Congressional stock trades in the tech sector?

2

Choose the right data source

SEC EDGAR for filings and insider trades. FRED for US economic data. IMF for global indicators. FDIC for bank data. Congress Stock Tracker for political trading.

3

Extract and analyse

Run actors to pull structured data. Each result includes dates, amounts, filing types, and entity details — ready for quantitative analysis.

4

Build ongoing pipelines

Schedule recurring runs to track new filings, trades, or economic releases. Feed data into Python notebooks, Excel models, or AI analysis tools.

What does it cost?

Extracting 1,000 SEC filings costs $5-10 in PPE charges. Daily insider trading monitoring: $3-5/month. Monthly cost for a comprehensive financial research pipeline: $15-40.

Estimate your cost →

Ready to get started?

Sign in and set up the CLI in under 2 minutes. Your Apify token stays on your machine.

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