A fundamental shift in data collection objectives
The landscape of web scraping is undergoing a structural transformation as organizations pivot their focus toward artificial intelligence. While scraping has historically been used to track search queries and retail trends, the target of these automated processes is moving toward the outputs of generative AI. According to Decodo research, this represents a change in how businesses understand consumer intelligence.
Vaidotas Juknys, CEO of Decodo, noted that the use case for data collection is changing significantly. He explained that while businesses previously scraped the web to monitor user search behavior, they are now scraping AI platforms to analyze the information being delivered to users. This transition suggests that the "truth" or the guidance provided by AI is becoming a critical metric for corporate strategy.
This shift implies that companies are no longer just looking at what consumers want to find, but are instead investigating how AI models interpret, summarize, and present those consumer needs. By monitoring these interactions, businesses can gain a different layer of insight into the digital ecosystem that shapes modern decision-making.
ChatGPT and Perplexity emerge as high-value targets
ChatGPT and Perplexity have officially broken into the top five most-scraped websites, signaling their importance in the modern data economy. According to Decodo, ChatGPT holds the third position, accounting for 14% of the total scraping activity observed in the study. Perplexity follows in fifth place, representing 10% of the recorded scraping volume.
The motivation behind scraping these specific platforms is deeply tied to brand reputation and competitive intelligence. Businesses are likely using these tools to perform several key functions:
- Product Ranking: Checking how AI tools rank their specific products against market competitors.
- Brand Narrative: Monitoring how the AI describes a particular company or service.
- Mention Frequency: Measuring how often a brand is cited or mentioned in AI-generated responses.
- Citation Accuracy: Recording the specific citations ChatGPT and other models use to support their claims.
As AI becomes a primary source of information for consumers, the accuracy and sentiment of these AI responses directly impact a brand's market position. Consequently, scraping these platforms allows companies to audit the "AI version" of their own identity.
The decline of traditional retail in scraping rankings
The rise of AI and social media platforms is occurring alongside a notable exit of traditional retail giants from the most-scraped lists. Decodo's data indicates that several major players from 2025 have dropped out of the top rankings, including Walmart, eBay, and Airbnb. This suggests a broader movement in where consumer trends are currently being identified and monitored.
TikTok currently leads the list as the most-scraped site, accounting for nearly 18% of activity—roughly one in five scrapes. Other dominant entities include Google in second place and Amazon in eighth place. The presence of TikTok at the top highlights the growing importance of social media as a primary driver of consumer behavior and trend forecasting.
The redistribution of scraping activity reflects a move away from transactional platforms and toward platforms that facilitate discovery and information synthesis. As consumers spend more time on social feeds and interacting with AI, the data generated on these sites becomes more valuable for predicting future buying patterns than traditional e-commerce search data.
The future of automated data intelligence and AI agents
Looking toward the next cycle of data collection, the list of most-scraped websites is expected to expand to include more advanced AI models. Decodo anticipates that Gemini and Copilot could potentially join the top 10 list in the coming year. This would further solidify the dominance of AI-driven information in the data scraping industry.
Perhaps more significant than the platforms being scraped is the evolution of the entities performing the scraping. Decodo predicts that the next major shift will involve the rise of AI agents that could replace human analysts in the data collection process. This would move the industry from human-led observation to fully automated intelligence loops.
According to Juknys, the upcoming year may see a reality where AI agents are not just reading the answers provided by other models, but are actually making the decisions based on that data. This suggests a future of "machine-to-machine" intelligence, where AI agents scrape, analyze, and act upon data with minimal human intervention, creating a highly accelerated cycle of information processing.
Frequently Asked Questions
Why are companies scraping ChatGPT and Perplexity?
Companies scrape these platforms to monitor how AI models represent their brands. By analyzing ChatGPT and Perplexity, businesses can see how their products are ranked against competitors, how often they are mentioned, and the accuracy of the citations provided by the AI in its responses to users.
How has the focus of web scraping changed recently?
The focus has shifted from monitoring what users are searching for on the web to monitoring what AI platforms are telling users. Instead of tracking raw consumer intent through search engines, businesses are now analyzing the synthesized information and guidance that generative AI provides to the public.
Which websites are currently the most scraped?
TikTok is currently the most scraped website, accounting for approximately 18% of activity. Other top sites include Google in second place, ChatGPT in third, Perplexity in fifth, and Amazon in eighth. This highlights a trend toward social media and AI-driven information sources.
Will AI agents change how data is collected?
Yes, there is a significant prediction that AI agents will eventually replace humans in the data scraping process. Rather than humans simply reading the scraped data, future AI agents may be capable of making autonomous decisions based on the information they collect and analyze from other platforms.
Conclusion
The entry of ChatGPT and Perplexity into the most-scraped websites list marks a pivotal moment in digital intelligence. As consumer behavior increasingly flows through AI interfaces and social media platforms like TikTok, the traditional methods of monitoring retail giants like Walmart or eBay are becoming less central to trend forecasting. The shift from tracking search queries to auditing AI-generated narratives suggests that brand management must now account for the "AI lens." As we move toward a future of autonomous AI agents performing these scrapes, the speed and complexity of data-driven decision-making are set to accelerate, fundamentally altering the relationship between brands and digital information.
