Five benefits of web scraping that you should know as a data scientist🤖⚡
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1. Data collection:
Web scraping can be used to collect data from a variety of sources, including websites, social media platforms, and financial institutions.
This data can be used for a variety of purposes, such as market research, competitive analysis, and product development.
2. Automated tasks:
Web scraping can be used to automate tasks that would otherwise be time-consuming and labor-intensive. For example, web scraping can be used to collect product prices from a variety of websites, or to monitor social media for mentions of your brand.
3. Cost savings:
Web scraping can save businesses money by automating tasks that would otherwise require manual labor. For example, web scraping can be used to collect customer data from a variety of websites, or to monitor social media for mentions of your brand.
4. Increased efficiency:
Web scraping can help businesses to improve their efficiency by automating tasks that would otherwise require manual intervention.
For example, web scraping can be used to collect product prices from a variety of websites, or to monitor social media for mentions of your brand.
5. Improved decision-making:
Web scraping can help businesses to make better decisions by providing them with access to data that would otherwise be difficult or impossible to collect.
For example, web scraping can be used to collect customer data from a variety of websites, or to monitor social media for mentions of your brand.
get.brightdata.com/scraper
Avi Kumar Talaviya
@avikumart_
Simplifying Data Science and Machine learning for beginners🤖 I share valuable threads & resources on DS/ML/DL @kaggle Master|Python|ML|Data|Analytics|Tech