How Python implements Word file batch information extraction and structured parsing data example: Requirements: Processing steps: Table processing Text processing Single file handling function Encapsulates get folder file directory data processing and summary data save processing results

<h1 class="pgc-h-arrow-right" data-track="2" > data example:</h1>

The contents of the file are divided into two parts, one is in tabular form

The first table in Word

One is the text paragraph form

Content in Word files that needs to be structured

<h1 class="pgc-h-arrow-right" data-track="40" > requirements:</h1>

Extract the table Chinese, with the first column as the field name and the second column as the data content

Convert the content of the paragraph into a table according to the symbolic [field] content correspondence

<h1 class="pgc-h-arrow-right" data-track="44" >processing steps:</h1>

<h1 class="pgc-h-arrow-right" data-track="47" > table processing</h1>

<h1 class="pgc-h-arrow-right" data-track="51" > text processing</h1>

Regular match date

Regular date matching

Regular matches fields and contents

Regularly extract fields and contents

Complete code

<h1 class="pgc-h-arrow-right" data-track="55" > a single file handler package</h1>

<h1 class="pgc-h-arrow-right" data-track="58" gets the folder file directory ></h1>

<h1 class="pgc-h-arrow-right" data-track="61" > data processing and summarization</h1>

<h1 class="pgc-h-arrow-right" data-track="64" > data saving</h1>

<h1 class="pgc-h-arrow-right" data-track="85" > processing results</h1>

Excel results