How ScrapeHero helps a law firm fight financial fraud

How a law firm accelerated its fight against financial injustice by partnering with ScrapeHero.

10,000+

Pages processed daily

350,000+

Data points captured daily

400%

Improved fraudster tracking

Plan

Enterprise Premium

Industry

Law & Justice

Our client is a law firm that assists individuals who have been wronged or require assistance in managing their debts without declaring bankruptcy. They defend clients against losing their homes and challenge unfair debt collection, as well as fight against abusive lending and incorrect credit reporting.

The Challenge

Manual data collection from court websites was eating up hours daily, while fraudsters changing identities made tracking nearly impossible.

The firm had been manually collecting data on money lending and false credit cases from a U.S. court website. This process was very time-consuming, requiring them to gather information from a large number of web pages each day. Additionally, with perpetrators frequently changing their names to avoid detection, manually searching for them was highly challenging.

The Solution

ScrapeHero implemented a customized web scraping solution that addresses the firm’s challenges by:

Automating Daily Collection: Systematically scrapes court filings from 10,000+ web pages daily

Capturing Comprehensive Data: Extracts 35+ critical data points per filing with precision

Eliminating Manual Work: Reduces time and resource requirements by 90%+ compared to manual collection

The Impact

By partnering with ScrapeHero, the law firm now benefits from a seamless flow of critical information. This empowers them to identify and respond to cases of abusive financial practices more effectively. As a result, the firm is better equipped to defend the rights of individuals facing financial injustices, safeguarding their homes and financial integrity with speed and accuracy. Furthermore, by scraping vast amounts of data for variations of relevant keywords, even information concealed under aliases is efficiently tracked.

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