Indigo Data Inc. (Headquarters: Chuo-ku, Tokyo; Representative Director: Yoichi Okura) has released "PigData Scraping AI," a new AI service for corporations specializing in data collection. This service utilizes a novel scraping method where AI analyzes website structures and collects data while understanding the intent (context) of the information to be acquired. In recent years, the need to utilize information on the web has rapidly increased for market research, price monitoring, competitor analysis, and new business development. However, traditional scraping methods require individual design and implementation for each site, posing risks of collection stoppage due to UI changes and operational burdens. "PigData Scraping AI" is a next-generation data collection AI that solves these challenges. Check Service Details Features of PigData Scraping AI (Differences from Conventional Methods) Instead of creating dedicated programs with specific acquisition rules for each site as in conventional methods, PigData Scraping AI extracts necessary information by having the AI read the page structure. This makes it easier to flexibly collect data while reducing the burden of individual site対応. This mechanism enables PigData Scraping AI to achieve the following three features: Flexibility to handle any website (Reduced man-hours, Improved speed) Traditionally, it took time to organize specifications and implement individually for each site, leading to delays in launch. With PigData Scraping AI, the AI analyzes the site structure, making it easier to proceed with verification even for highly designed or complex sites. Acquisition items (columns) can also be specified in natural language. As a result, it is possible to make an initial judgment on whether data can be collected from a target site in a short period, speeding up the initial response. Supports scraping of over 1000 sites (Cost and budget reduction) Traditionally, as the number of target sites increased, design and adj