ByteScout Cloud API Server - PDF To Excel API - Python - Convert PDF To Excel From Uploaded File - ByteScout
Announcement
Our ByteScout SDK products are sunsetting as we focus on expanding new solutions.
Learn More Open modal
Close modal
Announcement Important Update
ByteScout SDK Sunsetting Notice
Our ByteScout SDK products are sunsetting as we focus on our new & improved solutions. Thank you for being part of our journey, and we look forward to supporting you in this next chapter!

ByteScout Cloud API Server – PDF To Excel API – Python – Convert PDF To Excel From Uploaded File

  • Home
  • /
  • Articles
  • /
  • ByteScout Cloud API Server – PDF To Excel API – Python – Convert PDF To Excel From Uploaded File

How to convert PDF to excel from uploaded file for PDF to excel API in Python using ByteScout Cloud API Server

Learn to write code convert PDF to excel from uploaded file for PDF to excel API in Python: Simple How To Tutorial

If you want a quick and easy way to add a required functionality into your application then check this sample source code documentation. ByteScout Cloud API Server was designed to assist PDF to excel API in Python. ByteScout Cloud API Server is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) or into private cloud server. Can store data on in-house local server based storage or in Amazon AWS S3 bucket. Processing data solely on the server using built-in ByteScout powered engine, no cloud services are used to process your data!.

If you want to speed up the application’s code writing then Python code samples for Python developers help to implement using ByteScout Cloud API Server. This Python sample code can be used by copying and pasting into your project. Once done,just compile your project and click Run. You can use these Python sample examples in one or many applications.

Our website provides free trial version of ByteScout Cloud API Server that gives source code samples to assist with your Python project.

On-demand (REST Web API) version:
 Web API (on-demand version)

On-premise offline SDK for Windows:
 60 Day Free Trial (on-premise)

ConvertPdfToExcelFromUploadedFile.py
      
import os import requests # pip install requests # Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". # If it's not then please replace this with with your hosting url. # Base URL for PDF.co Web API requests BASE_URL = "https://localhost" # Source PDF file SourceFile = ".\\sample.pdf" # Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. Pages = "" # PDF document password. Leave empty for unprotected documents. Password = "" # Destination Excel file name DestinationFile = ".\\result.xlsx" def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): convertPdfToExcel(uploadedFileUrl, DestinationFile) def convertPdfToExcel(uploadedFileUrl, destinationFile): """Converts PDF To Excel using PDF.co Web API""" # Prepare URL for 'PDF To Xlsx' API request url = "{}/pdf/convert/to/xlsx?name={}&password={}&pages={}&url={}".format( BASE_URL, os.path.basename(destinationFile), Password, Pages, uploadedFileUrl ) # Execute request and get response as JSON response = requests.get(url, headers={ "content-type": "application/octet-stream" }) if (response.status_code == 200): json = response.json() if json["error"] == False: # Get URL of result file resultFileUrl = json["url"] # Download result file r = requests.get(resultFileUrl, stream=True) if (r.status_code == 200): with open(destinationFile, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{destinationFile}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") def uploadFile(fileName): """Uploads file to the cloud""" # 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. # Prepare URL for 'Get Presigned URL' API request url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format( BASE_URL, os.path.basename(fileName)) # Execute request and get response as JSON response = requests.get(url) if (response.status_code == 200): json = response.json() if json["error"] == False: # URL to use for file upload uploadUrl = json["presignedUrl"] # URL for future reference uploadedFileUrl = json["url"] # 2. UPLOAD FILE TO CLOUD. with open(fileName, 'rb') as file: requests.put(uploadUrl, data=file, headers={ "content-type": "application/octet-stream" }) return uploadedFileUrl else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") return None if __name__ == '__main__': main()

ON-PREMISE OFFLINE SDK

60 Day Free Trial or Visit ByteScout Cloud API Server Home Page

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

VIDEO

ON-PREMISE OFFLINE SDK

60 Day Free Trial or Visit ByteScout Cloud API Server Home Page

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

Tutorials:

prev
next