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

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

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ByteScout-Cloud-API-Server-Python-Optimize-PDF-From-URL.pdf

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

Step By Step Instructions on how to optimize PDF from URL for PDF optimization API in Python

Check these thousands of pre-made source code samples for simple implementation in your own programming projects. ByteScout Cloud API Server helps with 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..

Use the code displayed below in your application to save a lot of time on writing and testing code. This Python sample code can be used by copying and pasting into your project. Once done,just compile your project and click Run. Further improvement of the code will make it more robust.

Trial version of ByteScout is available for free download from our website. This and other source code samples for Python and other programming languages are available.

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OptimizePdfFromUrl.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"

# 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"

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?name={}&password={}&url={}".format(
        BASE_URL,
        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:
            #  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}")

if __name__ == '__main__':
    main()