The SEC EDGAR scraper from ScrapeIt gives you structured access to U.S. corporate filings — including 10-Ks, 10-Qs, earnings reports, and more. All documents are extracted, parsed, and delivered in formats suited for financial data analysis, auditing, or market research.
SEC filings come in many formats — HTML, PDF, XBRL — and most aren’t built for quick analysis. That’s where ScrapeIt’s extractor makes the difference. Our crawler targets the exact document types you need, whether that’s quarterly reports, IPO filings, or insider trades. We parse raw financial data, isolate relevant sections, and convert them into structured formats ready for export. The result is a clean, queryable database that turns complex regulatory filings into usable business intelligence.
We extract clear, structured data from each filing — including company names, stock symbols, financial line items like revenue, profit, assets, and debt, as well as the filing date and format. For deeper insight, we also parse notes from management, auditor comments, and disclosures about risks or market conditions. All this information is cleaned, labeled, and ready for use in spreadsheets, databases, or financial dashboards — no manual sorting required.
SEC documents often contain more than just balance sheets — and ScrapeIt’s SEC EDGAR scraper is built to uncover those deeper insights. We extract notes that highlight shifts in accounting policies, executive changes, legal proceedings, and forward-looking statements that can influence investor confidence. For analysts, these overlooked elements provide early signals about a company's direction and stability. Our scraper also flags historical rates, period-over-period comparisons, and narrative disclosures that often go unnoticed — delivering not just data, but critical context for smarter market decisions.
SEC EDGAR is the U.S. Securities and Exchange Commission’s official filing system — a public database where all publicly traded companies in the U.S. are required to submit financial disclosures, including:
Accessible via sec.gov/edgar, it holds millions of filings, with thousands added daily — making it one of the most transparent and data-rich financial resources globally.
What sets EDGAR apart is its searchable, open-access structure and near-instant availability of critical information. Users can explore filings from large-cap U.S. corporations, foreign issuers, mutual funds, and even SPACs or shell companies — all formatted in regulatory language and accompanied by raw financial data that rarely appears in mainstream summaries or investor tools.
For investors, compliance officers, fintech developers, and market researchers, EDGAR offers an essential foundation for everything from equity analysis and risk assessment to machine-readable parsing of corporate events.
Online since the mid-1990s, EDGAR has become more than a document repository — it’s a core infrastructure layer for anyone seeking verified, up-to-date company intelligence in U.S. capital markets.
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If you work with financial reports, compliance, or investment research, you already know how overwhelming raw SEC filings can be. By choosing to scrape SEC EDGAR data, you skip the manual downloads and go straight to the information that matters — filtered by company, form type, or filing date. Instead of parsing PDFs or searching line by line, you receive structured outputs that are ready for export into CSV, Excel, or JSON. Whether you need data for valuation models, reporting tools, or historical financial analysis, scraping SEC EDGAR turns a massive archive into a focused, usable resource.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
ScrapeIt’s SEC EDGAR web scraper helps you extract financial data without touching a single document manually. We build extractors that scan, parse, and filter large volumes of filings — focusing only on what matters to you: specific companies, report types, or filing windows. The output is clean and structured, making it easy to plug into internal databases, feed compliance tools, or support equity research workflows. Whether you're watching quarterly results or building a long-term archive, we deliver the information — you use it however you need.
We work with investment teams, fintech platforms, compliance units, and data vendors — anyone who needs direct access to structured company filings at scale.
Yes. Whether you need financials, risk factors, executive pay, or management commentary, we can isolate and extract only the parts you care about.
Definitely. All parsing and structuring is handled on our side — so you receive data that can immediately feed into databases, visualizations, or reports.
Of course. Our crawler can go deep into the archive, pulling multi-year filing histories — ideal for building research datasets or long-term models.
Yes. You don’t need to handle any code or scraping logic. Just tell us what you want — we’ll do the technical heavy lifting and deliver clean financial data.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
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