SEC EDGAR Scraper

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 EDGAR Scraper
Solutions

How the Data Extraction Works

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.

What We Extract from SEC EDGAR

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.

What We Extract from SEC EDGAR
More Than Filings — What Our SEC EDGAR Scraper Reveals Beyond the Numbers

More Than Filings — What Our SEC EDGAR Scraper Reveals Beyond the Numbers

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.

About SEC EDGAR

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:

  • annual reports (10-K)
  • quarterly earnings (10-Q)
  • IPO filings (S-1)
  • insider trading statements (Form 4)

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.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for SEC EDGAR Data Scraping

Customized scraping setup for SEC EDGAR — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
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+
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Custom requirements
+
+
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+
+
+
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Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
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Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
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Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
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Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
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1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
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Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
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-
-
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+
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+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
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Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
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SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
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Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
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30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
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499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
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Data limits (rows): a 100+ row piece

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Iterations: 1

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Custom requirements: No

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Data lifetime: up to 3 month old

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Data quality checks: No

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Delivery deadline: 1 working day

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Sample Dataset

50
/ source
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Data limits (rows): up to 10%

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Iterations: up to 3

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Custom requirements: Yes

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Data lifetime: up-to-date

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Data quality checks: Yes

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Delivery deadline: 1-2 working days

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Get data sample

Why Scrape SEC EDGAR Data?

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.

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About ScrapeIt

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.

FAQ

Who benefits most from scraping SEC EDGAR data?

We work with investment teams, fintech platforms, compliance units, and data vendors — anyone who needs direct access to structured company filings at scale.

Can I extract just certain sections from the filings?

Yes. Whether you need financials, risk factors, executive pay, or management commentary, we can isolate and extract only the parts you care about.

Is the data ready for use in internal tools or models?

Definitely. All parsing and structuring is handled on our side — so you receive data that can immediately feed into databases, visualizations, or reports.

Can you collect older filings too, not just recent ones?

Of course. Our crawler can go deep into the archive, pulling multi-year filing histories — ideal for building research datasets or long-term models.

Is this service suitable for non-technical teams?

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.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
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Scrapeit Sp. z o.o.
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