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It may or may not come as a surprise that we, as the founding authors and maintainers of Scrapy, use the foundational Open Source web scraping framework to assist with our managed web data extraction projects.

System integrators, as key players in the data landscape, help businesses leverage the power of data. As the digital terrain evolves, advanced data extraction techniques have become indispensable. According to industry experts, AI-powered solutions are revolutionizing how system integrators tackle complex data integration challenges, enabling them to deliver more efficient and accurate results to their clients.

As companies recognize the value of obtaining fresh web data to fuel winning products and make better decisions, the data scraping field evolves.

Zyte API offers a powerful solution for digital shelf analytics companies to overcome geo-blocking challenges and extract accurate, localized data from websites worldwide. By leveraging advanced geolocation features and intelligent proxy management, Zyte API enables comprehensive data collection for global e-commerce insights.

Geolocation technology is revolutionizing the food delivery industry, enabling platforms to access location-specific data and provide more personalized services.

Having your IP address(es) banned as a web scraper is a pain. Websites blocking your IPs means you won't be able to collect data from them, and so it's important to any one who wants to collect web data at any kind of scale that you understand how to bypass IP Bans.

In today's world, web scraping tools save thousands of hours of work by automating data extraction, testing web applications and performing repetitive tasks.

Bright Data has been having great success in getting the lawsuits brought against it by social media giants dismissed.

Modern websites, which are becoming more JavaScript-heavy, rely extensively on dynamic content and external data sources like APIs to source/update their content. They also feature progressively stronger anti-bot measures.

Python is a popular programming language among data-focused developers, it’s well suited to multiple aspects of accessing and structuring data from the web, and the world’s most popular scraping framework (Scrapy) is written in python.

The use of data mining and Artificial intelligence (AI) in business is rapidly evolving and capable of helping organizations create new and innovative business models.

In the dynamic and fast-paced world of food delivery, staying ahead of the competition requires more than excellent service — it demands real-time, accurate data to make informed decisions.