A market researcher needs to collect customer reviews for a specific product from multiple e-commerce websites. Manually copying and pasting reviews into a spreadsheet is time-consuming and prone to errors.

The researcher creates a 'Product Review' structure (including fields like rating, review text, reviewer name, date). They can then use Datumize AI on each product page, select the structure, extract the reviews, and have the data consistently formatted. Webhook integration could automatically send new reviews to a centralized analysis tool.

A content curator wants to gather headlines and brief summaries from various news websites to create a daily digest. Visiting each site and manually copying the information is inefficient.

The curator defines a 'News Headline' structure (including fields like title, source URL, summary, publication date). Using Datumize AI on news websites, they can quickly extract the relevant information. Webhooks can automatically post these headlines to a social media management platform or a newsletter service.

An e-commerce business owner needs to monitor the pricing of their competitors for key products. Manually checking multiple competitor websites daily is a tedious task.

The owner creates a 'Product Pricing' structure (including fields like product name, competitor price, URL, timestamp). They can use Datumize AI on competitor product pages to extract the pricing data. Webhooks can send price changes to a notification system or update a pricing spreadsheet automatically.

Someone looking for a new apartment wants to gather listings from different real estate websites and organize them based on specific criteria (price, location, number of bedrooms, amenities).

The user defines a 'Real Estate Listing' structure. As they browse different listing sites, they can use Datumize AI to extract the details and have them organized in a consistent format for easy comparison and analysis.

A cooking enthusiast finds recipes on various websites and wants to store them in a structured personal database for easy searching and access. Manually copying and formatting recipe details is cumbersome.

The user creates a detailed 'Recipe' structure. With Datumize AI, they can extract ingredients, instructions, cooking times, and nutritional information from different recipe websites and have them neatly organized in their desired format.

A sales team wants to gather basic information about potential leads from company websites (company name, website URL, general contact info if available).

They create a 'Company Info' structure. Using Datumize AI on company 'About Us' or 'Contact Us' pages, they can quickly extract this information and potentially use webhooks to send it to their CRM.

A blogger researching a new topic finds valuable information across multiple articles and wants to organize it into a structured outline for their blog post.

The blogger defines a 'Blog Outline Point' structure (including fields like heading, supporting detail, source URL). As they read articles, they can use Datumize AI to extract key points and have them organized into a structured outline that they can easily work with.