Data Scraping and Parsing PDF Documents

If you need to work with PDF files from the web, ask us to provide you with cleansed and structured data!
Ask us to scrap the website and receive free data samle in XLSX, CSV, JSON or Google Sheet in 3 days
Scraping is the our field of expertise: we completed more than 800 scraping projects (including protected resources)
Ask us to help

PDF File Format

Portable Document Format or PDF is a file format created by Adobe. It is a really popular format on the web today. It allows users to store text, tables, and images in a standard file format.
PDF File Format

Scraping PDF Files from Websites

Scraping PDF files is not a difficult task. Just keep in mind that they will take more storage space than text files. A greater challenge is parsing PDF data, which means extracting and structurizing the data from PDFs.
Scraping PDF Files from Websites

Parsing PDF Files

Parsing PDFs is a process of extracting, analyzing, and structuring data. At DataOx, we divide all PDF documents into two types depending on level of structuring. The first category, called structured, contains PDF files that have electronic text and tables that were written in a format developed for PDF. The second category, unstructured, contains PDF files that have texts and tables that were put into the document as photos or images. Extracting structured data from PDF files is not a complex task, but it requires a lot of manual quality assurance work. We use Tabula to extract the text and tables from PDFs.
Unstructured data, as I mentioned above, needs to use optical character recognition (OCR) technologies to parse data. OCR is a quite complex solution that requires experimentation to recognize data correctly, and even so, it does not guarantee 100% data accuracy. So, it’s very important to set up a quality assurance (QA) process to make sure that data is extracted correctly and no piece of information is missed. In addition to basic QA, data often has to be cleansed, as OCR technology may miss a lot of “garbage data.”

Project Example

One of our projects involved scraping electricity payments in PDF format and structuring all fields like dates and amounts into another easy-to-use format. We recognized all the document pieces and added them to the database. All PDF files were uploaded from the client’s side, then parsed and structured into each field. Our software automatically checks and validates data accuracy in each invoice to avoid any mistake. After that, the cleansed and structured data is delivered to the client. If you need consultation for scraping and parsing PDF files, simply contact our expert. It's free!
Publishing date: Sun Apr 23 2023
Last update date: Wed Apr 19 2023