PDF files are a portable version for multifaceted types of documents, ranging from books, brochures, reports, and presentations to invoices, purchase orders, and bank statements. Besides, they allow embedding various media types and attachments. Thus, PDF scarping and parsing solutions are commonly used to extract:
- Text content,
- Single data fields (tracking numbers, dates, costs…),
- Lists and tables’ data,
From our experience, despite IT technologies, a huge number of documents (especially government documents) still are unstructured and unworkable. The possibility to scrape a PDF file highly depends on the nature of the document and digital solutions used. So, if your business requires clean and structured documents scraped from the web, our document scraping, and parsing service is for you!
We deal with
Text-Based PDF documents: creating specific data extraction templates based on data regions and fields. This may be quite handy when you scrape information from tables, such as, for instance, invoices or purchase orders.
Form-Based PDFs: Multifaceted businesses gather information using forms, such as customer feedback or satisfaction surveys. It results in PDF documents that contain multiple fields and variable tables. To cope with the challenge, special models can be created in order to select only the precise table and field that you wish to scrape data from. Such models can be reused, customized, or altered according to your needs.
Scanned PDFs (image-based documents): It’s usually the most non-trivial task to cope with since scanned documents can contain data in all shapes and sizes. However, DataOx knows how to effectively get over the difficulty with the specific extraction templates created for the purpose.
A lot of valuable but messy business information can be found on the US Securities and Exchange Commission website (sec.gov). By scraping, parsing, and cleansing these documents, you will get really helpful data.