This function allows you to extract information from a URL on the internet, automating the collection of data from websites. It is ideal for content monitoring, competitive analysis, and data aggregation for research.
Input Fields:
Insert the URL: Provide the URL of the site/page from which you want to extract information. Ensure that the URL is accessible and valid.
Output Result:
The information from the site/page will be extracted. An important point is that only text information will be extracted, as images cannot be read.
Use Cases:
1. News Monitoring: Use it to extract the latest news from news portals for trend analysis.
2. Competitive Analysis: Extract prices, product descriptions, and other information from competitors' websites for market comparison.
3. Market Study: Collect data from publications and market research to assist in decision-making.
Limitations:
The Web Scraper respects the websites' robots.txt policies; therefore, some pages may not allow data scraping. Additionally, extraction effectiveness can vary depending on the site's structure and changes in the layout or HTML code. Note that this step cannot extract information from logged-in environments.
An important factor is that images are not processed by the Web Scraper.
Implementation Examples:
Case 1: Site Analysis and Summary: Obtain a content summary and an evaluation of the site's reading time, readability, and security.
Case 2: Price Comparison: A company uses the tool to extract product prices from various e-commerce sites to adjust its pricing strategy.
Conclusion:
The "Web Scraper" function is a powerful tool in Tess AI for automatically extracting data from websites, facilitating the collection of valuable information for various applications, from content monitoring to competitive and academic analysis.
