Describe the website and data you want. NextRows will build and run the scraper.
Fetches IMDb’s current Top 10 trending titles from https://www.imdb.com and saves them to a CSV file, including each title’s name, year, rating, runtime, synopsis, and links to the IMDb page and poster.
Collects posts from the Doc Hu.mentary publication on Maily (https://maily.so/doc.hu.mentary), pulls each post’s title and content, and saves everything into a CSV file you can download and use for reading, archiving, or analysis.
Collects the latest Grand Portfolio holdings data from Dataroma (https://www.dataroma.com/m/g/portfolio.php), goes through all available pages, and saves the results into a downloadable CSV file for easy viewing and analysis.
Collects exhibitor information from the CES exhibitor directory and exports it to a CSV file, including each exhibitor’s name, short description, and where to find them on the show floor (hall and booth). Source: https://exhibitors.ces.tech
Collects plugin entries from the Awesome Neovim list at https://github.com/rockerBOO/awesome-neovim and exports them to a CSV file, including each plugin’s name, short description, and current GitHub star count.
Browse https://www.lacreme.ai/ and automatically collect information about AI tools listed on the site. The app gathers tool names, categories, short descriptions, pricing notes, and the official website link for each tool, then exports everything into a single CSV file you can download and use.
Collect companies with earnings announcements for a selected date from TradingView (https://www.tradingview.com) and save them to a spreadsheet (CSV). The app lists ticker, exchange, company name, report date and time, EPS and revenue estimates and actuals, surprise figures, market cap, and more. It captures both upcoming announcements and results published on that day, stores everything in an output file you can open in Excel or Google Sheets, and shows a short completion summary when finished.
Discover which companies on American stock exchanges go ex-dividend on a date you choose. The app compiles a clear, downloadable spreadsheet showing the ticker, exchange, company name, ex-dividend date, expected payment date, dividend amount, yield, currency, and more. Data is sourced from TradingView: https://www.tradingview.com.