ByteScout Cloud API Server - Render Url As Jpg - Python - Render Url As Jpg - ByteScout

ByteScout Cloud API Server – Render Url As Jpg – Python – Render Url As Jpg

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How to render url as jpg in Python using ByteScout Cloud API Server

ByteScout Cloud API Server is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) 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 built-in ByteScout powered engine, no cloud services are used to process your data!.

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RenderUrlToJpg.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. # 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://localhost" # Input url file InputUrl = "https://www.wikipedia.org" # Result file name ResultFile = ".\\result.jpg" def main(args = None): generateResult(ResultFile) def generateResult(destinationFile): """Generates Result Image using PDF.co Web API""" # Prepare requests params as JSON # See documentation: https://apidocs.pdf.co parameters = {} parameters["name"] = os.path.basename(destinationFile) parameters["url"] = InputUrl # Prepare URL for 'Url to Jpg' API request url = "{}/url/convert/to/jpg".format(BASE_URL) # Execute request and get response as JSON response = requests.post(url, data=parameters, headers={ "x-api-key": API_KEY }) if (response.status_code == 200): json = response.json() if json["error"] == False: # Get URL of result file resultFileUrl = json["url"] # 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}") else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") if __name__ == '__main__': main()

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