<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Extraction on SoloSoft</title><link>https://www.solosoft.dev/tags/data-extraction/</link><description>Recent content in Data Extraction on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/data-extraction/index.xml" rel="self" type="application/rss+xml"/><item><title>PDFPlumber: Extract Text, Tables, and Metadata from PDFs in Python</title><link>https://www.solosoft.dev/post/pdfplumber-python-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/pdfplumber-python-2026/</guid><description>&lt;p&gt;PDFs remain one of the most common formats for distributing documents, but extracting data from them programmatically has always been challenging. The PDF format preserves visual layout at the expense of structural semantics, making it difficult to distinguish a table from a column layout or a heading from body text. &lt;strong&gt;PDFPlumber&lt;/strong&gt; (jsvine/pdfplumber on GitHub) tackles this challenge by providing a Python library that gives developers detailed, programmable access to the inner structure of PDF pages.&lt;/p&gt;
&lt;p&gt;Created by Jeremy Singer-Vine and now maintained by a community of contributors, PDFPlumber has become a go-to tool for data extraction from PDFs, with over 6,000 GitHub stars. It is built on top of pdfminer.six, which handles the low-level PDF parsing, and adds a much more developer-friendly API, visual debugging tools, and robust table extraction capabilities.&lt;/p&gt;</description></item></channel></rss>