ByteScout Cloud API Server – PDF Splitting API – Python – Split PDF From Uploaded File

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ByteScout Cloud API Server – PDF Splitting API – Python – Split PDF From Uploaded File

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ByteScout-Cloud-API-Server-Python-Split-PDF-From-Uploaded-File.pdf

How to split PDF from uploaded file for PDF splitting API in Python and ByteScout Cloud API Server

Follow this simple tutorial to learn split PDF from uploaded file to have PDF splitting API in Python

The easy to understand coding guides help you check the features without any need to write your own code. ByteScout Cloud API Server was designed to assist PDF splitting API in Python. ByteScout Cloud API Server is the ready to use Web API Server that can be deployed in less than 30 minutes into your own in-house server 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 buil-in ByteScout powered engine, no cloud services are used to process your data!.

Want to learn quickly? These fast application programming interfaces of ByteScout Cloud API Server for Python plus the instruction and the code below will help to learn how to split PDF from uploaded file. For implementation of this functionality, please copy and paste the code below into your app using code editor. Then compile and run your app. Enjoy writing a code with ready-to-use sample Python codes to add PDF splitting API functions using ByteScout Cloud API Server in Python.

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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SplitPDFFromUploadedFile.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 numbers (or ranges) to process. Example: '1,3-5,7-'.
Pages = "1-2,3-"


def main(args = None):
    uploadedFileUrl = uploadFile(SourceFile)
    if (uploadedFileUrl != None):
        splitPDF(uploadedFileUrl)


def splitPDF(uploadedFileUrl):
    """Split PDF using PDF.co Web API"""

    # Prepare URL for 'Split PDF' API request
    url = "{}/pdf/split?pages={}&url={}".format(
        BASE_URL,
        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:

            # Download generated PNG files
            part = 1

            for resultFileUrl in json["urls"]:
                # Download Result File
                r = requests.get(resultFileUrl, stream=True)

                localFileUrl = f"Page{part}.pdf"

                if r.status_code == 200:
                    with open(localFileUrl, 'wb') as file:
                        for chunk in r:
                            file.write(chunk)
                    print(f"Result file saved as \"{localFileUrl}\" file.")
                else:
                    print(f"Request error: {response.status_code} {response.reason}")

                part = part + 1
        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()