ByteScout Cloud API Server – HTML To PDF API – Python – Convert Web Page To PDF From Link Asynchronously

Home
/
Articles
/
ByteScout Cloud API Server – HTML To PDF API – Python – Convert Web Page To PDF From Link Asynchronously

printable version:
ByteScout-Cloud-API-Server-Python-Convert-Web-Page-To-PDF-From-Link-Asynchronously.pdf

How to convert web page to PDF from link asynchronously for HTML to PDF API in Python and ByteScout Cloud API Server

Learn to write code convert web page to PDF from link asynchronously for HTML to PDF API in Python: Simple How To Tutorial

This page displays the step-by-step instructions and algorithm of how to convert web page to PDF from link asynchronously and how to apply it in your application. HTML to PDF 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. 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)

ConvertWebPageToPdfFromLinkAsynchronously.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"

# URL of web page to convert to PDF document.
SourceUrl = "http://en.wikipedia.org/wiki/Main_Page"
# Destination PDF file name
DestinationFile = ".\\result.pdf"
# (!) Make asynchronous job
Async = True


def main(args = None):
    convertLinkToPDF(SourceUrl, DestinationFile)


def convertLinkToPDF(uploadedFileUrl, destinationFile):
    """Converts Link To PDF using PDF.co Web API"""

    # Prepare URL for 'URL To PDF' API request
    url = "{}/pdf/convert/from/url?async={}&name={}&url={}".format(
        BASE_URL,
        Async,
        os.path.basename(destinationFile),
        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()