Ever tried to capture an entire webpage in one go, only to end up taking
multiple screenshots and stitching them together? Taking a full page screenshot
manually is about as fun as printing a web page and scanning it. Whether you're
a developer needing a complete page snapshot for testing, or a marketer
monitoring how a landing page looks over time, the struggle is real. Even the
Chrome full page screenshot trick in DevTools (handy, but hidden) is fine for
one-off captures, not so much for autom
Web scraping remains a cornerstone of data-driven projects in 2025. As organizations seek competitive insights and real-time information, web scraping has only grown in importance. In fact, the broader alternative data market was valued at around $4.9 billion in 2023...
In this comprehensive guide, we’ll explore how web scraping and content extraction can optimize key aspects of lead generation – from prospect identification and lead scoring to personalized outreach – all while ensuring best practices and compliance
In today's digital age, where 89% of consumers read online reviews before purchasing (BrightLocal), customer feedback has become a critical driver of business success. Web scraping has emerged as a powerful tool for companies to gather customer reviews and feedback at scale.
With the vast amount of information available on the internet, extracting relevant text content from an HTML page can be a challenging task. HTML, or Hypertext Markup Language, is the standard markup language used to create web pages.
In this article we examine the recent studies, statistics, and research about AI generated content, highlighting how training data and web scraping play a major role in shaping the future of online content.
Abusive scraping can cause significant problems for website owners, including server overload, unauthorized data extraction, and the potential exposure of sensitive information. Implementing effective anti-scraping mechanisms is crucial to protect your website from these threats.
Web servers use various techniques to mitigate scraping attempts, including IP classification and identifying data center or suspicious traffic. Understanding how IP addresses are classified and how technologies like CGNAT (Carrier-Grade NAT) work is critical for overcoming these challenges.
The TikTok API has several restrictions that limit what data you can access and how frequently you can query it. For this reason, web scraping becomes a viable solution, as long as it is done in compliance with TikTok’s Terms of Service.
One of the most powerful resources available to businesses nowadays is web scraping, an automated technique for extracting substantial amounts of publicly accessible data from online sources.
In this article, we show how Puppeteer's advanced capabilities can be used to make our scraper better equipped for handling real world use cases. Namely, we will explore options such as controlling page load behavior,
HTTP Authentication, adding extra headers, changing user agent, etc...
In our previous article
[https://ujeebu.com/blog/simple-puppeteer-based-scraper-rule-based-extraction/]
of the Puppeteer series we implemented a rule-based scraper based on headless
Chrome using Puppeteer. We injected our scraping functions into the browser's
context (window) then used those to execute scraping scenarios inside the
browser.
In this article we will try to achieve the same thing, but this time using
Puppeteer's methods without injecting functions into the browser's context.
Rew
