![]() You can also use tabula-py to convert a PDF file directly into a CSV. To search for all the tables in a file you have to specify the parameters page = “all” and multiple_tables = True. The result stored into tables is a list of data frames which correspond to all the tables found in the PDF file. Tables = tabula.read_pdf(file, pages = "all", multiple_tables = True) ![]() Below we use it scrape all the tables from a paper on classification regarding the Iris dataset ( available here). Once installed, tabula-py is straightforward to use. If you have issues with installation, check this. Tabula-py is a very nice package that allows you to both scrape PDFs, as well as convert PDFs directly into CSV files. Note, this options will only work for PDFs that are typed – not scanned-in images. To learn more about scraping tables and other data from PDFs with R, click here. ![]() This post will go through a few ways of scraping tables from PDFs with Python.
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