How to generate PDF from large HTML file for HTML to PDF API in Python and Web API

What is Web API? It is the flexible Web API that includes full set of functions from e-signature requests to data extraction, OCR, images recognition, pdf splitting and pdf splitting. Can also generate barcodes and read barcodes from images, scans and pdf.

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import os import time import datetime import requests # pip install requests # The authentication key (API Key). # Get your own by registering at API_KEY = "*************************************" # Base URL for Web API requests BASE_URL = "" # HTML template file_read = open(".\\sample.html", mode='r', encoding= 'utf-8') SampleHtml = file_read.close() # Destination PDF file name DestinationFile = ".\\result.pdf" def main(args = None): GeneratePDFFromHtml(SampleHtml, DestinationFile) def GeneratePDFFromHtml(SampleHtml, destinationFile): """Converts HTML to PDF using Web API""" # Prepare requests params as JSON # See documentation: parameters = {} # Input HTML code to be converted. Required. parameters["html"] = SampleHtml # Name of resulting file parameters["name"] = os.path.basename(destinationFile) # Set to css style margins like 10 px or 5px 5px 5px 5px. parameters["margins"] = "5px 5px 5px 5px" # Can be Letter, A4, A5, A6 or custom size like 200x200 parameters["paperSize"] = "Letter" # Set to Portrait or Landscape. Portrait by default. parameters["orientation"] = "Portrait" # true by default. Set to false to disable printing of background. parameters["printBackground"] = "true" # If large input document, process in async mode by passing true # ! Making Async Request parameters["async"] = "true" # Set to HTML for header to be applied on every page at the header. parameters["header"] = "" # Set to HTML for footer to be applied on every page at the bottom. parameters["footer"] = "" # Prepare URL for 'HTML To PDF' API request url = "{}/pdf/convert/from/html".format( BASE_URL ) # Execute request and get response as JSON response =, data=parameters, headers={ "x-api-key": API_KEY }) 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("%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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