With webscraping it is possible to give you any data and information which is available on the World Wide Web - so more or less only the horizon is the limit.
I can scrape your data from the source you want and put it in the form you need it like Excel, PDF, Word, Google Sheets and so on. Python and his libraries are the ideal toolset for me to do this. I am familiar with BeautifulSoap, Request, Selenium, OpenpyXL, Xlwings, Scrapy and many more modules which are tailored to get the and transform the data.
Following some scraping projects i did in the past:
- Shopping / Clocks: rolex prices on crownandcaliber.com
- Education / Universities: university / college rankings from forbes.com, usnews.com
- Searching / Companies: entries on firmenabc.at
I did webscraping projects in the past for example with this sources:
- Yahoo Finance
- Morning Star
- Guru Focus
- CoinMarketCap
- Wallstreet Journal
- Facebook
- Twitter
- Google
- Apple Store
- Android App Store
- Stocktwits
- CraigsList
- Yelp
- Wallstreet Journal
- Investing.com
- Nasdaq
- NordVPN
- CoinMarketCap
- HistData