Multiple Text Replacements From URL - Python
PDF Search and Replace Text sample in Python demonstrating ‘Multiple Text Replacements From URL’
MultipleTextReplacementsFromUrl.py
import os
import requests
import json
API_KEY = "******************************"
BASE_URL = "https://api.pdf.co/v1"
SourceFileURL = "https://bytescout-com.s3-us-west-2.amazonaws.com/files/demo-files/cloud-api/pdf-to-text/sample.pdf"
Password = ""
DestinationFile = ".\\result.pdf"
def main(args = None):
replaceStringFromPdf(SourceFileURL, DestinationFile)
search_strings = ["Your Company Name", "Client Name", "Item"]
replace_strings = ["XYZ LLC", "ACME", "SKU"]
def replaceStringFromPdf(uploadedFileUrl, destinationFile):
"""Replace Text from PDF using PDF.co Web API"""
# Prepare requests params as JSON
# See documentation: https://apidocs.pdf.co
parameters = {
"name": os.path.basename(destinationFile),
"password": Password,
"url": uploadedFileUrl,
"searchStrings": search_strings,
"replaceStrings": replace_strings,
"replacementLimit": 1
}
# Prepare URL for 'Replace Text from PDF' API request
url = "{}/pdf/edit/replace-text".format(BASE_URL)
# Convert parameters dictionary to JSON string
payload = json.dumps(parameters)
# Execute request and get response as JSON
response = requests.post(url, data=payload, headers={ "x-api-key": API_KEY })
if (response.status_code == 200):
json_data = response.json()
if json_data["error"] == False:
# Get URL of result file
resultFileUrl = json_data["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_data["message"])
else:
print(f"Request error: {response.status_code} {response.reason}")
if __name__ == '__main__':
main()
PDF.co Web API: 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.
Download Source Code (.zip)
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