Shipping Cost Estimator API

API Endpoint Specifications

  • Endpoint Path: /api/1/product-shipping
  • Type of Data: JSON & 10/minute
  • Data Source: BUYFROMLO
  • Request Limit: 500 request/month
  • Script & Integration: Code to integrate with cURL, JS, Python, Ruby, Php, Node.js, Java, .NET, Rust, Go, Typescript
Shipping Cost Estimator API Endpoint Basic Info

API Endpoint Path

required

Product Shipping Cost Estimator API

/api/1/product-shipping


Call Method

Required

POST

Type of Data Return

JSON

Output structured JSON data on AI blog content


Available API Arguments & Parameters

token

required

BUYFROMLO API token. Free and paid subscription API are available: /api/1/product-shipping, and accessible to on-site APP on /app/1/product-shipping as well

originalCountryAlpha2

required

input the sender country Alpha code

originalCity

required

input the sender city name

orginaladdress

required

input the sender address

originalPostalCode

required

input the sender postal code

destinationCountryAlpha2

required

input the receiver country Alpha code

destinationCity

required

input the receiver city name

destinationaddress

required

input the receiver address


length

Optional

input the item length in inch

width

Optional

input the item width in inch

height

Optional

input the item height in inch

weight

Optional

input the item weight in inch


Product Shipping Cost Estimator API

/api/1/product-shipping

TRY IT OUT

Code Integration and Response

Python Code Sample


import requests

apiendpoint = "https://api.buyfromlo.com/api/1/product-shipping"

## Required Arguments & Parameters ##

originalContent = "raw content materials or context for reference"
topic_name = "topic idea"
role = "who writes this content"
tableofcontentquantity = "how many subtitles are included. Max. is 8 subtitles"

## Optional Arguments & Parameters ##
language = "Input a language. Default is en"

## Optional and For free trial users only ##
llmModel = "Input openAI or hugging face Gemini, Llama. Paid users unnecessarily input this value."
apikey = "Input openai api key or hugging face api key. Paid users unnecessarily input this value."

headers={"Authorization": "Bearer " + token}

## Call the api ##
response = requests.post(apiendpoint, json={"originalContent":"", "topic_name":"", "role": "", "tableofcontentquantity": "", "language":language, "llmModel": llmModel, "apikey":apikey}, headers= headers)
print(response.status_code)
print(response.json())

JSON Response Sample


{
    "Totaltokenused":"",
    "Title":"",
    "excerpt":"",
    "table of contents": [],
    "content body": []
}