Develop Python function that is able to parse banggood.com invoices data
€8-30 EUR
Completed
Posted almost 4 years ago
€8-30 EUR
Paid on delivery
The banggod invoices are always similar. I will sent a dataset of ~30 invoices that may work as examples (but it should work with any possible new invoice).
I want to extract the following fields in a python dictionary:
- Order date
- Order number
- Payment currency
- Tracking number
- Supplier information
- Ship To
- Total Cost
- [we do not need to get the details of each bought item]
I attach an image to show the appearance of a banggood invoice
Some starting point help: You could use some python tools to convert pdf to text. For example I do this in other project using the tool pdftotext in ubuntu:
---
def get_pdf_text_content(pdffilepath):
txtcontentsfile = "[login to view URL]"
# poppler-utils
[login to view URL]("pdftotext \"" + pdffilepath +
"\" " + txtcontentsfile, shell=True)
candidate_file = open(txtcontentsfile)
all_text = "\n".join([login to view URL]())
[login to view URL]()
[login to view URL](txtcontentsfile)
return all_text
I've 3+ years of experience in python development. I already have code which converts pdf to text and in order to extract information from that text won't be much difficult work for me, and hence I believe I'll be the perfect candidate for this job.
€30 EUR in 1 day
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I am completed similar assignment of extracting text from hand-filled forms using python and OCR technology. same can be implemented in your case to extract the texts . kindly reach out with more details to take it further.