Securities Class Action Filings Scraper

Securities Class Action Scraper - Stanford Filings Database

Download the Stanford Securities Class Action Clearinghouse as data: roughly 6,400 federal securities class actions from 1996 to July 2025, each with its company, filing date, case status, presiding judge and the Clearinghouse's own case narrative. No login, no API key, no browser. Export to CSV, JSON, Excel, or XML.

The Clearinghouse is the reference record of securities class action litigation, but its website shows fifteen results at a time, offers no export, and gates sorting and advanced search behind a sign-up. This Actor reads the public case pages, returns them as flat rows, and parses the narrative for the things the database never puts in a field: settlement amounts, class periods, lead counsel, the statutes pleaded and the share price move behind the case.

Who uses it	What they use class action data for
D&O insurers and brokers	Loss history by industry, court and year for pricing and reserving
Securities defence and plaintiff firms	Case histories by company, judge and allegation before filing or answering
Investor relations and general counsel	What peer companies were sued over and how those cases ended
Academics and economists	A 30-year litigation panel with status, dates and narrative text
Litigation finance and data vendors	Filing and outcome series with stable case ids to join onto tickers

What it does

The Clearinghouse gives every case an id and a public case page. This Actor walks those pages and returns one row per case with:

• 🧾 The case: company name, normalised company name, case title, the related entity when a case is filed against a fund or a certificate series, and the Clearinghouse case id and URL.
• 🗓️ The dates: filing date with its year, month and quarter, days since filing, the status date and days since it.
• ⚖️ The outcome: case status (ONGOING, SETTLED, DISMISSED), the event that set it ("Date of order of final judgment", "Court's order of dismissal", "Notice of voluntarily dismissal"), and the presiding judge.
• 🏛️ Court and security: district court, exchange and ticker for the cases the Clearinghouse lists on its filings index.
• 📝 The narrative: a 300 character excerpt in every row, and the complete case summary as an option.
• 💵 Parsed from the narrative (each one optional): settlement amounts and approval, class period start and end, lead plaintiffs and counsel firms, the statutes pleaded, docket and MDL references, the share price drop, and allegation tags such as accounting restatement, insider selling, FDA trial, SPAC, crypto or artificial intelligence.

Leave the filters empty and the run returns the newest cases the Clearinghouse lists, which is the fastest way to check the database. Give it a date range and the run bisects the case id space to find the window for those dates and sweeps it.

Every row contains: caseId, caseUrl, companyName, companyNameNormalized, caseTitle, relatedEntity, filingDate, filingDateRaw, filingYear, filingMonth, filingQuarter, daysSinceFiling, caseStatus, statusDate, statusEvent, daysSinceStatus, isOngoing, isSettled, isDismissed, presidingJudge, hasJudge, districtCourt, exchange, tickerSymbol, hasSummary, summaryExcerpt, summaryLength and scrapedAt.

What you can do with securities class action data

Build a D&O loss history.

Pull a decade of cases with dateFrom and dateTo, turn on settlement terms and allegation tags, and you have filings and outcomes by year, status and theme. In a 300 case sample from 2020 the split was 211 dismissed, 75 settled and 14 still ongoing.

Check what a company or its peers were sued over.

companyNameContains keeps only cases whose company name or title matches, and the narrative tells you what the complaint alleged and how it ended.

Research a judge.

judgeNameContains returns every case in the database before that judge, with the status and the event that closed it.

Find the cases that match a theme.

summaryContains searches the narrative text, so "restatement", "clinical trial", "SPAC" or a law firm name pulls exactly those cases. Allegation tags do the same job as a fixed vocabulary.

Why choose this scraper

	What you get
The archive as a table	Roughly 6,400 cases from 1996 to July 2025, exported in one run instead of read fifteen at a time
Outcome, not just filing	Status, status date and the court event that set it, so settled and dismissed cases are separable
The narrative parsed	Settlement amounts, class periods, counsel, statutes and price drops that exist only as prose on the site
Honest hit rates	Each parsed block is charged only when it found something, and the older the case the more it finds
Date windows without a full sweep	The run bisects the case id space, so a single year costs a few hundred requests instead of nine thousand
No login	Everything here comes from the public case pages; nothing behind the Clearinghouse sign-up is touched

How it compares

No other Apify Actor covers this database. The comparison that matters is against the Clearinghouse website itself and against court-record scrapers, which carry dockets but not the Clearinghouse's curated case narrative or its status labels.

Feature	ParseForge	SCAC website	Court record actors
Bulk export to CSV, JSON, Excel	Yes	No	Yes
Cases back to 1996 with status	Yes	Yes	Rarely
Case narrative text	Yes	Yes	No
Settlement amount parsed	Yes, where the narrative states it	No field	No
Allegation tags	Yes	No	No
Filter by judge, company or narrative text	Yes	Sign-up required	Sometimes
Price per row	$0.007	Free, manual	$0.003 to $0.005

What a case looks like

{
  "caseId": 108637,
  "caseUrl": "https://securities.stanford.edu/filings-case.html?id=108637",
  "companyName": "Replimune Group, Inc.",
  "companyNameNormalized": "REPLIMUNE",
  "caseTitle": "Replimune Group, Inc. Securities Litigation",
  "relatedEntity": "N/A",
  "filingDate": "2025-07-24",
  "filingDateRaw": "July 24, 2025",
  "filingYear": 2025,
  "filingMonth": 7,
  "filingQuarter": "Q3",
  "daysSinceFiling": 400,
  "caseStatus": "ONGOING",
  "statusDate": "2025-07-24",
  "statusEvent": "Date of last review",
  "daysSinceStatus": 400,
  "isOngoing": "Yes",
  "isSettled": "No",
  "isDismissed": "No",
  "presidingJudge": "Hon. Julia E. Kobick",
  "hasJudge": "Yes",
  "districtCourt": "D. Massachusetts",
  "exchange": "NASDAQ",
  "tickerSymbol": "REPL",
  "hasSummary": "Yes",
  "summaryExcerpt": "According to the Complaint, Replimune Group, Inc. was founded in 2015 with the mission to transform cancer treatment by pioneering the development of novel oncolytic immunotherapies. This class action was filed against Replimune and two of its Officers…",
  "summaryLength": 896,
  "scrapedAt": "2026-08-27T17:00:47.430Z"
}

districtCourt, exchange and tickerSymbol come from the Clearinghouse filings index, which lists the most recent cases; cases pulled from deeper in the archive return Not Disclosed for those three.

Configure the run

Run it with no input to see the newest cases. Add a date range to sweep the archive, and tick the parsed blocks you need.

The newest cases in the database:

{ "maxItems": 30 }

A full year with the outcome and the theme:

{
  "dateFrom": "2015-01-01",
  "dateTo": "2015-12-31",
  "includeCaseNarrative": true,
  "includeAllegationTags": true,
  "includeStatutesAndClaims": true,
  "maxItems": 500
}

Settled cases with the amounts, for a loss study:

{
  "dateFrom": "2004-01-01",
  "dateTo": "2008-12-31",
  "caseStatuses": ["SETTLED"],
  "includeSettlementTerms": true,
  "includeClassPeriod": true,
  "includeCounselAndPlaintiffs": true,
  "maxItems": 1000
}

Everything a company was sued over:

{ "companyNameContains": "Wells Fargo", "includeCaseNarrative": true, "maxItems": 100 }

Free users

Free-plan runs return up to 10 cases as a preview. Upgrade your Apify plan to sweep the archive.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Securities Class Action Filings Scraper.
3. Set a date range or a company, tick the parsed blocks you want, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent the securities class action archive through the Model Context Protocol:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/securities-class-action-filings-scraper"

Then ask: "How many securities class actions filed in 2015 ended in dismissal?", "Which cases before Judge Rakoff settled?" or "Find class actions about clinical trial results".

Troubleshooting

Why is nothing newer than July 2025?

Because the Clearinghouse stopped updating. Its own notice says the site "is currently under construction and is temporarily unavailable as it undergoes updates and improvements", is expected to return as part of the Stanford Rock Center for Corporate Governance in Winter 2026, and that "during this period, updates and new filings will not be available". The archive up to 28 July 2025 is complete and served normally; nothing after it exists to scrape yet.

Why are the settlement or class period fields empty?

Because that case's narrative does not state them. The Clearinghouse writes a short description when a case is filed and expands it as the case moves, so the parsed blocks fire on older cases and rarely on recent ones. Measured on a 40 case sample from 2005: settlement amounts on 38%, statutes on 68%, law firms on 33%, class period on 18%. On a 300 case sample from 2020: statutes on 6%, allegation tags on 96%. You are not charged for a block that found nothing.

Why are districtCourt, exchange and tickerSymbol empty?

Those three come from the Clearinghouse filings index, which only lists its most recent cases. Cases pulled by date range or by id come from the case page, which does not publish them without a sign-up.

Why fewer rows than I asked for?

About one in four case ids in the archive is empty, and your filters remove more. The run log prints how many case pages it read against how many rows it wrote.

Why is the run slow on a wide date range?

Each case is its own page. The run reads about eight pages a second, so a full year (roughly 300 cases plus the empty ids between them) takes under a minute, and the whole archive takes about twenty.

FAQ

Question	Answer
What is the Clearinghouse?	The Stanford Securities Class Action Clearinghouse, run with Cornerstone Research, is the standard public record of federal securities class actions since the 1995 Reform Act.
How many cases are there?	The archive holds about 6,400 readable case pages between 1996 and July 2025, out of 8,640 case ids.
Is the data public?	Yes. Every field comes from public case pages. The Actor does not log in and does not touch the sign-up-only advanced search, complaint PDFs or company and securities tabs.
Why is my case missing a ticker?	Ticker, exchange and district court are published only on the filings index for recent cases; the case page does not carry them for the public.
Can I search the full text of complaints?	No. The complaint PDFs are behind the Clearinghouse sign-up. summaryContains searches the Clearinghouse's own case narrative instead.
Does it give settlement amounts?	Where the narrative states one. Turn on settlement terms; the row carries the largest amount named in a settlement sentence plus every amount found.
How current is it?	The database itself is frozen until the Clearinghouse relaunches. The newest case in it was filed on 28 July 2025.
Can I get cases for one company only?	Yes, with companyNameContains. Combine it with a date range to keep the sweep short.
How many cases per run?	Free plan: 10. Paid: as many as your filters match, up to the whole archive.
Is this an official Stanford product?	No. It is unofficial and reads only public pages.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Stanford University, the Rock Center for Corporate Governance or Cornerstone Research. It collects only publicly available pages from the Securities Class Action Clearinghouse. Case records name real people and companies, so you are responsible for using the data in compliance with applicable laws, including GDPR, CCPA, and PIPL, and with the Clearinghouse's terms. Do not use it to identify, profile, or target individuals.