This page displays the code samples for programming in Python. PDF to CSV 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. Check Python sample code examples to see if they respond to your needs and requirements for the project.
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""" 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"
# Source PDF file
SourceFile = ".\\sample.pdf"
# Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'.
Pages = ""
# PDF document password. Leave empty for unprotected documents.
Password = ""
# Destination CSV file name
DestinationFile = ".\\result.csv"
# (!) Make asynchronous job
Async = True
def main(args = None):
uploadedFileUrl = uploadFile(SourceFile)
if (uploadedFileUrl != None):
convertPdfToCSV(uploadedFileUrl, DestinationFile)
def convertPdfToCSV(uploadedFileUrl, destinationFile):
"""Converts PDF To CSV using PDF.co Web API"""
# Prepare URL for 'PDF To CSV' API request
url = "{}/pdf/convert/to/csv?async={}&name={}&password={}&pages={}&url={}".format(
BASE_URL,
Async,
os.path.basename(destinationFile),
Password,
Pages,
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
def uploadFile(fileName):
"""Uploads file to the cloud"""
# 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE.
# Prepare URL for 'Get Presigned URL' API request
url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format(
BASE_URL, os.path.basename(fileName))
# Execute request and get response as JSON
response = requests.get(url)
if (response.status_code == 200):
json = response.json()
if json["error"] == False:
# URL to use for file upload
uploadUrl = json["presignedUrl"]
# URL for future reference
uploadedFileUrl = json["url"]
# 2. UPLOAD FILE TO CLOUD.
with open(fileName, 'rb') as file:
requests.put(uploadUrl, data=file, headers={ "content-type": "application/octet-stream" })
return uploadedFileUrl
else:
# Show service reported error
print(json["message"])
else:
print(f"Request error: {response.status_code} {response.reason}")
return None
if __name__ == '__main__':
main()
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60 Day Free Trial or Visit ByteScout Cloud API Server Home Page
Explore ByteScout Cloud API Server Documentation
Explore Samples
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Get Your API Key
Explore Web API Docs
Explore Web API Samples