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Finance: guides & tutorials

Track filings, prices, and alt-data with scheduled scrapers and audit trails. Apify helps finance teams ingest web market data with logging you can repeat.

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Finance teams track filings, prices, and alt-data with scheduled scrapers and audit trails. These guides cover ingesting web market data with logging you can repeat and defend.

Reproducibility and auditability matter as much as the data itself in finance workflows. Apify supports scheduled runs with logged, repeatable jobs. Below you will find tutorials for finance data pipelines.

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Claude Financial Analysis: Analyze SEC Filings with Apify (2026)

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Yassine El Haddad
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Automate 10-K and 10-Q analysis by scraping SEC EDGAR with Apify, cleaning the filing text, and passing it to Claude for revenue trends, risk factors, and management commentary. Output structured insights to Apify Datasets or Google Sheets. With current Claude models offering a 1M-token context window, a full annual filing fits in a single request, so you rarely need to chunk. If you want to test the analysis side before wiring up a pipeline, you can try Claude free for a week and paste a filing in directly. Start with Apify.

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Make.com for Finance Teams: Automate Invoicing Expense Tracking and Reporting

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Guides on this site

Frequently asked questions

Frequently Asked Questions

Public company filings (SEC EDGAR), stock price history, economic indicators, cryptocurrency market data, real estate transaction records, commodity prices, and financial news sentiment. Many financial data sources have official APIs—always check for authorized access before building custom scrapers to avoid ToS violations.

Hedge funds scrape alternative data—job postings for economic signals, satellite data counts, retail foot traffic—for quantitative models. Fintech platforms aggregate public rates and fees. Compliance teams monitor competitor communications. News sentiment scrapers feed trading algorithms. Each use case has specific data freshness and accuracy requirements.

MNPI (material non-public information) restrictions apply if scraped data could constitute insider information. Data vendor agreements for licensed financial data typically prohibit redistribution and scraping. SEC regulations govern alternative data use. Legal review is mandatory before using scraped data for trading or investment decisions.

Prefer official sources: SEC EDGAR's XBRL feeds, FRED API for economic data, crypto exchange websockets for live prices. For sites without APIs, schedule Apify runs during off-peak hours, use retry logic for transient failures, and validate outputs against known historical benchmarks to detect extraction errors early.