GETHOOKD has published a new report examining the leading tools available for those interested in conducting advanced research on competitor advertisements.
-- GETHOOKD announced a new 2026 report comparing ad library scraper tools for e-commerce. The publication arrives as web scrapers evolve into self-learning systems powered by artificial intelligence and automation, delivering clean, structured data that ecommerce companies increasingly rely on for competitor analysis and market positioning. By documenting the capabilities of AI-powered platforms that automate ad research across Meta's libraries, the publication provides a complete overview of the options available to modern marketing experts.
More information is available at https://www.gethookd.ai/blog/best-meta-ad-library-scraper-tools
GETHOOKD explains that competitive intelligence will become central to customer experience and loyalty throughout 2026, with companies across sectors adopting web scraping and AI tools to remain attuned to shifting market dynamics. Ecommerce businesses face particular pressure to adopt these technologies, as manual research methods cannot match the speed and scale required to identify high-performing ad creatives, analyze competitor strategies, and respond to changing consumer preferences.
To help marketers address these challenges, GETHOOKD highlights three leading ad scrapers, comparing features and pricing to establish a comprehensive picture of the industry. Specifically, they compare two popular options against their own proprietary ad research platform, GETHOOKD.AI, showcasing the use cases and potential weaknesses of each.
As the company explains in the report, GETHOOKD.AI operates as an AI-powered platform designed to overcome the inefficiencies of manual ad library research by automating competitor analysis, identifying top-performing advertisements, and streamlining creative production workflows. The platform integrates data from Facebook and Instagram ad libraries, enabling users to research, analyze, and create high-performing campaigns while improving speed, return on investment, and analytical accuracy. By consolidating multi-channel advertising data into a unified interface, the company addresses the fragmented nature of ad library research that has historically required significant time and resources to navigate and analyze effectively.
The ultimate goal of the platform is to transform unstructured advertising data into organized, searchable datasets that can be used to support creative and strategic decisions. To achieve this, the platform offers filtering capabilities that allow users to refine searches by niche, ROAS benchmarks, styles, hooks, offers, and ad format categorization. Likewise, a new Chrome Extension feature enables users to save advertisements from the Meta Ads Library directly to their personal GETHOOKD.AI library for indefinite access and organization.
Those interested in reading the full comparison guide to thoroughly vet each ad scraper option can do so by visiting https://www.gethookd.ai/
Contact Info:
Name: Alex Fedotoff
Email: Send Email
Organization: GETHOOKD LLC
Address: 40 SW 13th street 902, Miami, Florida 33130, United States
Website: https://www.gethookd.ai/
Source: PressCable
Release ID: 89183306
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