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

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

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://www.usa.gov" # 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()

ON-PREMISE OFFLINE SDK

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

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

VIDEO

ON-PREMISE OFFLINE SDK

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

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

Tutorials:

prev
next