What is the Use of Scraping Number Information in WhatsApp？

Scrape WhatsApp numbers software is a very popular marketing tool in WhatsApp marketing, and many marketers really like using it. However, for marketers who rarely use WhatsApp marketing tools or haven't heard of this software, they may not know what features this software offers.

Today, we will explain the features of this software, what each feature does, and how it can help us!

Number Information Scraping: The software can directly query and scrape WhatsApp account information corresponding to phone numbers, such as the account's avatar, signature, and whether the number is registered on WhatsApp. These features are very helpful for marketers in selecting the right WhatsApp accounts for marketing.

User Information Expansion and Recognition: In addition to the information that can be directly scraped, the software also has recognition functions. It can automatically recognize the user’s age, gender, and signature language based on the previously obtained information. With this recognition, marketers can more precisely target their marketing efforts, and the recognition rate is quite high.

User Information Scraping and Export: The information obtained can be selectively categorized and exported, helping us quickly generate lists. This allows us to quickly identify suitable users for our marketing efforts in various marketing scenarios.

That concludes the content on "What is the use of scraping number information in WhatsApp marketing?" We are honored that you found and read this article, and we sincerely thank you! If you have any questions or need further information about this article, feel free to contact us.

CrownSoft's scrape WhatsApp numbers software allows you to choose multiple methods to generate phone numbers for different regions. By logging into your account, the software will analyze and display whether the WhatsApp account is registered. It uses CrownSoft's proprietary program to filter account information more precisely, including avatar, age (auto-recognition), gender (auto-recognition), signature, and signature language (auto-recognition). The filtered data can be exported in .txt, .xls, .xlsx, or .vcf formats.