Scraping strategy
Articles from the Zyte blog about Scraping strategy.
The great wall of data: The complexities of web scraping in the Asian market
While the technological arms race of web data access is universal, the battleground in Asia has its own unique rules of engagement.
Brand visibility in the digital era: How web data help brands see the full picture
Discover how web data helps brands improve visibility, track competitors, monitor availability, and analyze reviews to win on the digital shelf.
How online retailers use web data to compete on price, promotion, and availability
Discover how retailers leverage web data to optimize pricing, track competitor stock, detect trends, and improve sales performance.
How web data turns e-commerce listings into retail intelligence
Discover how web data enables digital shelf analytics vendors to track prices, availability, and product trends at scale—fueling real-time retail intelligence and competitive advantage.
The seven habits of highly effective data teams
Discover the seven habits that set high-performing data teams apart—from treating data as a product to ensuring data trust, quality, and decision impact. Learn how leading teams scale reliable data systems.
Five key takeaways from Extract Summit 2025
From AI-accelerated scraping to “dead internet” risks and rising access wars, these five takeaways from Extract Summit 2025 show where web data is heading next.
The new economics of web data: Smaller scraping just got cheaper
Discover how AI and new scraping tech are lowering costs, removing the “scale tax,” and making web data access affordable for smaller teams.
How to Plan Your Web Scraping Project Like a Product Manager
Most web scraping projects that collapse don't fail because of technical incompetence. They fail because teams treat data extraction like a coding sprint rather than a product launch.
How Zyte’s extraction experts guarantee data quality
Ensuring web data quality at scale means moving beyond fragile scripts and spot checks to robust validation that keeps business decisions accurate and reliable.
The DQ playbook: How ‘data quality’ fuels business’ pursuit of precision
The practice of data quality (DQ) is emerging as a key discipline businesses can use to understand and improve the provenance of the content they collect.
Cheaper web data is changing strategy—are you keeping up?
The economics of web data are shifting—here’s what you can’t afford to ignore in 2025.
Build or Buy? Solving the web scraping dilemma
Discover how to tackle the web scraping dilemma with strategies to balance cost, time, and quality for effective data extraction.
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