Bypass any anti scraper systems and automatically resolve javascript and fingerprint challenges.
START SCRAPINGFraud Dectection Web Scraping
unpack the value of financial data
Web scraping is the gateway to understanding and monitoring fraud and counterfeit items.
Here's our overview based on years of crawling data for fraud detection.
Fraud Dectection Data Use Cases
top reasons to crawl fraud dectection data websites
Fraud detection is a critical use case for web scraping, empowering businesses to uncover and mitigate risks such as fake reviews, counterfeit products, phishing websites, and social media fraud.
Additionally, ad fraud detection is an emerging use case where scraping ad metrics and traffic sources can uncover fraudulent activities that impact advertisers’ ROI.
Platforms like eBay, Instagram, and Google provide a wealth of data that can identify fraudulent activities and protect users and businesses from scams.
By leveraging web scraping, businesses and security teams can analyze patterns, monitor threats, and preemptively address fraud in real time.
Some real-life scenarios by Scrapfly users
Fake reviews can harm consumers and businesses alike. Scraping platforms like eBay and Reddit helps identify review patterns that signal fraudulent activity.
Analyze suspicious accounts, repetitive language, and unusual engagement patterns to detect fake reviews and protect your brand’s integrity.
Tools powered by web scraping allow businesses to build trust by identifying and eliminating fraudulent feedback.
Detecting counterfeit or fraudulent products is critical for marketplaces and consumers. Scraping platforms like eBay and Leboncoin.fr helps identify fake listings.
Collect and analyze data on seller history, pricing anomalies, and product descriptions to flag suspicious products effectively.
Scrape product photos to verify authenticity or to identify product theft through unique identifiers.
Fraudulent product detection through web scraping helps safeguard your marketplace and customer trust.
Phishing websites are a growing threat to online security. Scraping Google search results, fraudulent domains or social media posts can detect patterns in phishing attempts.
Gather data on suspicious URLs, website metadata, and impersonation tactics to preemptively block harmful sites.
Web scraping for phishing detection helps protect users and mitigate cybersecurity risks.
Ad fraud is a significant issue for advertisers, costing billions annually. Web scraping can verify ad placements to ensure your advertisements are being displayed on the right platforms, in the correct context, and to real audiences.
By scraping target websites and ad-serving networks, you can confirm that your ads are being served as contracted—not misrepresented, placed on low-quality sites, or withheld entirely.
Web scraping also helps identify fraudulent ad behavior, such as ads displayed on fake websites or inflated traffic statistics driven by bots, allowing you to take corrective action and optimize ad spend.
Top Fraud Dectection Data Scraping Targets
the most scraped fraud dectection data targets today
Web Scraping Ebay.com
eBay.com is one of the world’s leading online marketplaces, known for its extensive selection of new and used items across countless categories. It offers competitive pricing, auction-style listings, and detailed seller ratings, making it a trusted platform for buyers and sellers alike.
eBay.com is also a valuable resource for connecting with individual sellers and small businesses, offering a unique opportunity to find rare and custom products.
How to Scrape Ebay.com
For more on scraping eBay, see our introduction guide which covers everything you'd need to know about scraping eBay listings, auctions and search data with Python.
Web Scraping Google.com
Google.com is the world’s most widely used search engine, offering quick and accurate access to information across the web. It provides users with tailored search results, including websites, images, videos, and news, making it an essential tool for finding answers and exploring topics.
Google.com Search is also a valuable platform for businesses to reach audiences through targeted ads and optimized search visibility, driving traffic and engagement.
How to Scrape Google.com
For more on scraping Google search results see our intro guide which covers everything you need to know about scraping Google SERPs and other details.
Web Scraping Instagram.com
Instagram.com is one of the world’s most popular social media platforms, known for its focus on visual content such as photos, videos, and stories. It offers tools for users to share moments, connect with communities, and discover trends, making it a hub for creativity and inspiration.
Instagram.com is also a valuable platform for businesses and influencers to build their brand, engage with audiences, and drive sales through its advertising and shopping features.
How to Scrape Instagram.com
For more on scraping Instagram see our introduction guide which covers everything you'd need to know about scraping Instagram post, comments, search and other details.
Web Scraping Reddit.com
Reddit.com is one of the world’s largest online communities, offering a platform for discussions, news, and entertainment across countless topics. It is organized into thousands of niche communities, known as subreddits, where users can share content, engage in conversations, and discover trends.
Reddit.com is also a valuable platform for businesses and creators to connect with targeted audiences, gather feedback, and promote their products or services through authentic engagement.
How to Scrape Reddit.com
For more on scraping Crunchbase see our introduction guide which covers everything you'd need to know about scraping Crunchbase company pages, reviews and other details.
Web Scraping Trustpilot.com
Trustpilot.com is a leading platform for customer reviews, helping consumers share feedback and discover trustworthy businesses across industries. It features verified reviews, ratings, and insights, empowering users to make informed decisions about products and services.
Trustpilot.com is also a valuable resource for businesses to build credibility, engage with customers, and enhance their reputation through transparent feedback and review management tools.
How to Scrape Trustpilot.com
For more on scraping Trustpilot see our introduction guide which covers everything you'd need to know about scraping Truspilot company pages, reviews and other details.
Web Scraping Leboncoin.fr
Leboncoin.fr is one of France's most popular classified ad platforms, offering a wide range of listings for properties, vehicles, jobs, and second-hand goods. It provides a simple and efficient way for users to buy, sell, and rent directly from individuals and businesses.
Leboncoin.fr is also a valuable resource for discovering local services and connecting with professionals through its extensive directory of classified ads.
How to Scrape Leboncoin.fr
For more on scraping Leboincoin, see our introduction guide which covers everything you'd need to know about scraping Leboncoin listings data with Python.
Web Scraping X.com
X.com is a leading platform for real-time communication and updates, offering users a space to share ideas, news, and conversations in short, concise posts. It connects individuals, businesses, and communities, making it a hub for trending topics and global discussions.
X.com is also a valuable platform for businesses and influencers to engage with audiences, build their brand, and share timely updates through its advertising and promotional tools.
How to Scrape X.com
For more on scraping x.com see our introduction guide which covers everything you'd need to know about scraping Twitter posts, comments, search and other details.
Fraud Dectection Data Made Easy
don't let the complexities of fraud dectection data data hold your business back
from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse
client = ScrapflyClient(key="API KEY")
api_response: ScrapeApiResponse = client.scrape(
ScrapeConfig(
# add real estate property url
url='https://www.amazon.com/dp/B0CHBN8QD9',
# enable bypass anti-scraping protection
asp=True,
# enable headless browser if necessary
render_js=True,
# use AI to extract data
extraction_model='product'
)
)
# use AI extracted data
print(api_response.scrape_result['extracted_data']['data'])
# or parse the html yourself
print(api_response.scrape_result.content)import {
ScrapflyClient, ScrapeConfig
} from 'jsr:@scrapfly/scrapfly-sdk';
const client = new ScrapflyClient({ key: "API KEY" });
let api_response = await client.scrape(
new ScrapeConfig({
url: 'https://www.amazon.com/dp/B0CHBN8QD9',
// enable bypass anti-scraping protection
asp: true,
// enable headless browser if necessary
render_js: true,
// use AI to extract data
extraction_model: 'product' // or reviews
})
);
// use AI extracted data
console.log(api_response.result['extracted_data']['data'])
// or parse the HTML yourself
console.log(api_response.result['content'])Output
1
Send an API Request
bypass any blocking and use a real web browser
2
Get Data & Screenshots
get html, browser data and page screenshots
3
Extract Value with AI & LLM
use LLM prompts and AI auto parsers to find data
Web Scraping API
Extraction API
Screenshot API
Web Scraping API
Unlock the Real Power of Web Scraping
Power through scraping challenges using intelligent tools that save time and maximize results with the best success rate and cutting-edge features
-
Automatic Anti-Bot Bypass
-
Proxy Rotation — Millions of Proxies
Automatically rotate proxies from datacenter or residential pools of 130M+ proxies from 120+ countries.
START SCRAPING -
Get Data in the Formats You Need
Get results in data formats that suit you - html, markdown, json and many other are automatically converted.
START SCRAPING -
Render Javascript and Control Real Web Browsers
Use cloud browsers to render javascript powered pages and even control them to click buttons, input forms and perform general automation tasks.
START SCRAPING
Extraction API
Realize the Potential of Your Data
Maximize your efficiency with an AI-powered extraction process designed to save you time. Effortlessly extract data with AI, LLMs, and customizable templates
-
Automatically Extract Data with AI Precision
Use the AI auto extract feature to automatically find data objects like products, reviews, property listings and other common data types.
START EXTRACTING -
LLM Query Your Data
Use data parsing optimized LLM models to interact with your data or extract structured results.
START EXTRACTING -
Create Your Own Extraction RulesCustomize your own extraction rules to extract exactly the data you need and clean-up with our built-in processors. START EXTRACTING
Screenshot API
Effortlessly Capture the Visual Web
Capture web page screenshots effortlessly using real browsers optimized for screenshots
-
Automatically Bypass Blocking
Automatically bypass content and bot blocks for uninterrupted screenshot capture.
START CAPTURING -
Capture Any Area
Capture everything from selected areas to full pages with automatic scrolling.
START CAPTURING -
Block Banners & Ads
Block cookie popups, ads and have complete control of the browser.
START CAPTURING
Seamlessly Integrate with Frameworks & Platforms
Easily integrate Scrapfly with your favorite tools and platforms, or customize workflows with our Python and TypeScript SDKs.
Build LLM and RAG Applications
Explore
More
Integrations
Frequently Asked Questions
How to unblock access to websites for fraud detection?
While scraping websites most websites is perfectly legal, some websites may block access to their data if they can detect robot-like behavior. For this, you can fortify your scrapers against identification yourself using tools and techniques covered in our blog here or you can leave it to Web Scraping API to handle it for you!
Is scraping for fraud detection legal?
Yes, generally web scraping publicly visible data for fraud detection is legal in most places around the world. However, this is still a highly contentious and new issue so it's best to avoid scraping Personally Identifiable Information (PII) for fraud detection. For more see our in-depth web scraping laws article.
How to extract fraud relevant data from web pages?
Fraud detection often relies on scraping text data, product identifiers and visual images. So, using an AI engine like Extraction API can help you extract exact datasets needed to detect fraud.
What fraud sources and data are usually scraped?
For fraud detection, web scraping is used to extract data from various sources, including e-commerce platforms, social media, search engines, and review sites. For detecting ad fraud, any website can be scraped to verify ad placements and traffic sources.
What is a Web Scraping API?
Web Scraping API is a service that abstracts away the complexities and challenges of web scraping and data extraction. This allows developers to focus on creating software rather than dealing with issues like web scraping blocking and other data access challenges.
How can I access Web Scraping API?
Web Scraping API can be accessed in any http client like curl, httpie or any http client library in any programming language. For first-class support we offer Python and Typescript SDKs.
Are proxies enough to scrape data for fraud detection?
No, most modern websites can identify proxies and block access. To bypass blocking you'll need to use combination of new bypass tools and techniques or defer these steps to a service like Web Scraping API .
Social media platforms are increasingly being used for fraud, including fake brand accounts and phishing schemes. Scraping platforms like Instagram and X.com allows you to identify fraudulent profiles.
Analyze account activity, follower spikes, and content duplication to detect fake accounts or impersonators.
Social media fraud detection is essential for maintaining brand authenticity and user trust.