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POST
/
v1
/
upload
Python
import requests

url = "https://api.parser.expert/v1/upload"

headers = {
    'X-API-Key': 'sk-xxxx'
}

files = {
    'file': open('/path/to/your/file.pdf', 'rb'),
    'bucket_id': (None, '100202')
}

response = requests.post(url, headers=headers, files=files)

print(response.text)
{
  "data": {
    "parser_id": "f555c13a-846f-4505-95fe-8f72b39edef9"
  },
  "message": "Extract upserted successfully"
}

Documentation Index

Fetch the complete documentation index at: https://docs.parser.expert/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
X-API-Key
string
header
required

Body

multipart/form-data
​
bucket_id
string
required

The ID of the bucket where the data will be stored.Refer to Quickstart for set extraction fields

​
file
file

The file to upload. Supported formats are PDF, DOCX, Image, Txt File (maximum of 10 pages per document).

​
webpage_url
string

The URL of the webpage to extract content from. This will be ignored if file is provided.

Response

Extract upserted successfully

​
data
object
​
message
string

Success message.