How to convert web page to PDF from link asynchronously for HTML to PDF API in Python and PDF.co Web API

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

Check these thousands of pre-made source code samples for simple implementation in your own programming projects. PDF.co Web API was designed to assist HTML to PDF API in Python. PDF.co Web API is the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.

Python code snippet like this for PDF.co Web API works best when you need to quickly implement HTML to PDF API in your Python application. This sample code in Python is all you need. Just copy-paste it to the code editor, then add a reference to PDF.co Web API and you are ready to try it! Check Python sample code examples to see if they respond to your needs and requirements for the project.

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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 # The authentication key (API Key). # Get your own by registering at https://app.pdf.co/documentation/api API_KEY = "*****************************************" # Base URL for PDF.co Web API requests BASE_URL = "https://api.pdf.co/v1" # 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={ "x-api-key": API_KEY, "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, headers={ "x-api-key": API_KEY }) 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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