We can extract the Word file’s images using the images attribute of our doc_result object. Next, let’s change the column headers to what we see in the Word file (which was also returned to us in doc_result.body).ĭf.columns =. This function gets the individual value within the list in each cell and removes all instances of “\t”. Here, we use the applymap method to apply the lambda function below to every cell in the data frame. This value also has quite a few “\t”‘s (which represent tab spaces). The data frame is still a little messy – each cell in the data frame is a list containing a single value. We can convert this result into a tabular format using pandas. In turn, each value in a row is returned as an individual sub-list within that row’s corresponding list. The next element refers to the next row in the table and so on. The 0th element of the list refers to the header – or 0th row of the table. Each row (including the header) gets returned as a separate sub-list. The table text result is returned as a nested list, as you can see below. Scraping a word document table with docx2python # get separate components of the document If we call doc_result.body, each of these components will be returned as separate items in a list. For example, consider that our file has three main components – the text containing the Zen of Python, a table, and an image. If we call this method with the document’s name as input, we get back an object with several attributes.ĭoc_result = docx2python('zen_of_python.docx')Įach attribute provides either text or information from the file. We’re going to add a simple table in the document so that we can extract that as well (see below).ĭocx2python contains a method with the same name. Let’s test out our Word Document with docx2python. For example, it is able to return the text scraped from a document in a more structured format. It has some additional features beyond docx2txt and docx. Result = ĭocx2python is another package we can use to scrape Word Documents. Also, docx will not scrape out hyperlinks and text in tables defined in the Word Document.ĭoc = docx.Document("zen_of_python.docx") Unlike docx2txt, docx, cannot scrape images from Word Documents. This will include scraping separate lines defined in the Word Document for listed items. Then, we can scrape the text from each paragraph in the file using a list comprehension in conjunction with doc.paragraphs. Here we just input the name of the file we want to connect to. In the example below, we open a connection to our sample word file using the docx.Document method.
docx is a powerful library for manipulating and creating Word Documents, but can also (with some restrictions) read in text from Word files.
Word document info code#
The source code behind docx2txt is derived from code in the docx package, which can also be used to scrape Word Documents. Later in this post we’ll talk about docx2python, which allows you to scrape tables in a more structured format. Again, this will be returned into a single string with any other text found in the document, which means this text can more difficult to parse. Result = docx2txt.process("zen_of_python_with_image.docx", "C:/path/to/store/files")ĭocx2txt will also scrape any text from tables.
The text from the file will still also be extracted and stored in the result variable. Running docx2txt.process will extract any images in the Word Document and save them into this specified folder. When we run the process method, we can pass an extra parameter that specifies the name of an output directory. What if the file has images? In that case we just need a minor tweak to our code. Result = docx2txt.process("zen_of_python.docx") Regular text, listed items, hyperlink text, and table text will all be returned in a single string. We can read in the document using a method in the package called process, which takes the name of the file as input. As you can see, once we’ve imported docx2txt, all we need is one line of code to read in the text from the Word Document. The example below reads in a Word Document containing the Zen of Python. This is a Python package that allows you to scrape text and images from Word Documents. We’re going to cover three different packages – docx2txt, docx, and my personal favorite: docx2python.
Word document info how to#
This post will talk about how to read Word Documents with Python.
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