ByteScout Cloud API Server - PDF Optimization API - Python - Optimize PDF From URL Asynchronously - ByteScout

ByteScout Cloud API Server – PDF Optimization API – Python – Optimize PDF From URL Asynchronously

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How to optimize PDF from URL asynchronously for PDF optimization API in Python with ByteScout Cloud API Server

Step-by-step tutorial:How to optimize PDF from URL asynchronously to have PDF optimization API in Python

Every ByteScout tool includes sample Python source codes that you can find here or in the folder with installed ByteScout product. ByteScout Cloud API Server was designed to assist PDF optimization API in Python. 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..

This simple and easy to understand sample source code in Python for ByteScout Cloud API Server contains different functions and options you should do calling the API to implement PDF optimization API. Follow the tutorial and copy – paste code for Python into your project’s code editor. Enjoy writing a code with ready-to-use sample Python codes to implement PDF optimization API using ByteScout Cloud API Server.

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OptimizePdfFromUrlAsynchronously.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" # Direct URL of source PDF file. SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-optimize/sample.pdf" # PDF document password. Leave empty for unprotected documents. Password = "" # Destination PDF file name DestinationFile = ".\\result.pdf" # (!) Make asynchronous job Async = True def main(args = None): optimizePDF(SourceFileURL, DestinationFile) def optimizePDF(uploadedFileUrl, destinationFile): """Optimize PDF using PDF.co Web API""" # Prepare URL for 'Optimize PDF' API request url = "{}/pdf/optimize?async={}&name={}&password={}&url={}".format( BASE_URL, Async, os.path.basename(destinationFile), Password, 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 if __name__ == '__main__': main()

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ON-PREMISE OFFLINE SDK

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

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ON-DEMAND REST WEB API

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Explore Web API Docs

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