ByteScout Cloud API Server - PDF To CSV API - Python - Convert PDF To CSV From Uploaded File Asynchronously - ByteScout

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

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

How to convert PDF to CSV from uploaded file asynchronously for PDF to CSV API in Python: Step By Step Instructions

This page displays the code samples for programming in Python. PDF to CSV API in Python can be applied with ByteScout Cloud API Server. ByteScout Cloud API Server is API server that is ready to use and can be installed and deployed in less than 30 minutes on your own Windows server or server in a cloud. It can save data and files on your local server-based file storage or in Amazon AWS S3 storage. Data is processed solely on the API server and is powered by ByteScout engine, no cloud services or Internet connection is required for data processing..

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. Follow the tutorial and copy – paste code for Python into your project’s code editor. Check Python sample code examples to see if they respond to your needs and requirements for the project.

ByteScout Cloud API Server – free trial version is available on our website. Also, there are other code samples to help you with your Python application included into trial version.

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ConvertPdfToCSVFromUploadedFileAsynchronously.py
      
""" Cloud API asynchronous "PDF To Text" job example. Allows to avoid timeout errors when processing huge or scanned PDF documents. """ import os import requests # pip install requests import time import datetime # 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 CSV file name DestinationFile = ".\\result.csv" # (!) Make asynchronous job Async = True def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): convertPdfToCSV(uploadedFileUrl, DestinationFile) def convertPdfToCSV(uploadedFileUrl, destinationFile): """Converts PDF To CSV using PDF.co Web API""" # Prepare URL for 'PDF To CSV' API request url = "{}/pdf/convert/to/csv?async={}&name={}&password={}&pages={}&url={}".format( BASE_URL, Async, 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: # Asynchronous job ID jobId = json["jobId"] # URL of the result file resultFileUrl = json["url"] # Check the job status in a loop. # If you don't want to pause the main thread you can rework the code # to use a separate thread for the status checking and completion. while True: status = checkJobStatus(jobId) # Possible statuses: "working", "failed", "aborted", "success". # Display timestamp and status (for demo purposes) print(datetime.datetime.now().strftime("%H:%M.%S") + ": " + status) if status == "success": # 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}") break elif status == "working": # Pause for a few seconds time.sleep(3) else: print(status) break else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") def checkJobStatus(jobId): """Checks server job status""" url = f"{BASE_URL}/job/check?jobid={jobId}" response = requests.get(url) if (response.status_code == 200): json = response.json() return json["status"] else: print(f"Request error: {response.status_code} {response.reason}") return None 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()

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ON-PREMISE OFFLINE SDK

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

Explore ByteScout Cloud API Server Documentation

Explore Samples

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ON-DEMAND REST WEB API

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Explore Web API Docs

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