- Scrape the details of most viewed videos on YouTube from Wikipedia: Url = https://en.wikipedia.org/wiki/List_of_most-viewed_YouTube_videos/ You need to find following details: A) Rank B) Name C) Artist D) Upload date E) Views
- Scrape the details team India’s international fixtures from bcci.tv. Url = https://www.bcci.tv/. You need to find following details: A) Match title (I.e. 1st ODI) B) Series C) Place D) Date E) Time Note: - From bcci.tv home page you have reach to the international fixture page through code.
- Scrape the details of selenium exception from guru99.com. Url = https://www.guru99.com/ You need to find following details: A) Name B) Description Note: - From guru99 home page you have to reach to selenium exception handling page through code.
- Scrape the details of State-wise GDP of India from statisticstime.com. Url = http://statisticstimes.com/ You have to find following details: A) Rank B) State C) GSDP at current price (19-20) D) GSDP at current price (18-19) E) Share(18-19) F) GDP($ billion) Note: - From statisticstimes home page you have to reach to economy page through code.
- Scrape the details of trending repositories on Github.com. Url = https://github.com/ You have to find the following details: A) Repository title B) Repository description C) Contributors count D) Language used ASSIGNMENT Note: - From the home page you have to click on the trending option from Explore menu through code.
- Scrape the details of top 100 songs on billboard.com. Url = https://www.billboard.com/ You have to find the following details: A) Song name B) Artist name C) Last week rank D) Peak rank E) Weeks on board Note: - From the home page you have to click on the charts option then hot 100-page link through code.
- Scrape the details of Data science recruiters from naukri.com. Url = https://www.naukri.com/ You have to find the following details: A) Name B) Designation C) Company D) Skills they hire for E) Location Note: - From naukri.com homepage click on the recruiters option and the on the search pane type Data science and click on search. All this should be done through code
- Scrape the details of Highest selling novels. Url = https://www.theguardian.com/news/datablog/2012/aug/09/best-selling-books-all-time-fifty-shades-grey-compare/ You have to find the following details: A) Book name B) Author name C) Volumes sold D) Publisher E) Genre
- Scrape the details most watched tv series of all time from imdb.com. Url = https://www.imdb.com/list/ls095964455/ You have to find the following details: A) Name B) Year span C) Genre D) Run time E) Ratings F) Votes
- Details of Datasets from UCI machine learning repositories. Url = https://archive.ics.uci.edu/ You have to find the following details: A) Dataset name B) Data type C) Task D) Attribute type E) No of instances F) No of attribute G) Year Note: - from the home page you have to go to the Show All Dataset page through code