PDF Data Scraping

Extract Data from PDF Content on the Web

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Extract data in an easily readable structured way

Automated web scraping services provide fast data acquirement in structured format. No matter if used for big data, data mining, artificial intelligence, machine learning or business intelligence applications. The scraped data come from various sources and forms. It can be websites, various databases, XML feeds and CSV, TXT or XLS file formats for example.

Billions of PDF files stored online form a huge data library worth scraping.

Have you ever tried to get any data from various PDF files? Then you know how panful it is. We have created an algorithm that allows you to extract data in an easily readable structured way. With PDFix we can recognize all logical structures and we can give you a hierarchical structure of document elements in a correct reading order.

With the PDFix SDK

we believe your web crawler can be programmed to access the PDF files and:

Search Text inside PDFs – you can find and extract specific information
Detect and Export Tables
Extract Annotations
Detect and Extract Related Images
Use Regular Expression, Pattern Matching
Detect and Scrape information from Charts

Structured format

You will need the scraped data from PDFs in various formats. With the PDFix you will get a structured output in:

CSV
HTML
XML
JSON (coming soon)

Windows, MacOS, Linux, Android, iOS

Java, Python, C#, C++