AI SEO Component Content Generator API

API Endpoint Specifications

  • Endpoint Path: /api/3/seo-pdp
  • Type of Data: JSON & 5/minute
  • Data Source: BUYFROMLO
  • Request Limit: 100,000 tokens/month (Approximate 73,000 English words)
  • Script & Integration: Code to integrate with cURL, JS, Python, Ruby, Php, Node.js, Java, .NET, Rust, Go, Typescript
AI SEO Component Content Generator API Endpoint Basic Info

API Endpoint Path

required

Automatic SEO Audit API

/api/3/seo-audit


AI SEO Schema Generator API

/api/3/seo-schema


AI SEO Metatag Content Generator API

/api/3/seo-metatag


AI SEO Content Keyword Density Optimizer API

/api/3/keyword-density-optimizer


AI SEO Product Description Generator API

/api/3/seo-pdp


AI SEO FAQ Generator API

/api/3/seo-faq



Call Method

Required

POST

Type of Data Return

JSON

Output structured JSON data on AI SEO Schema


Available API Arguments & Parameters

token

required

BUYFROMLO API token. Subscription API is available on /api/3/seo-schema, and accessible to on-site APP on /app/3/seo-schema as well

originalContent

required

Enter the raw content for AI writing. Max.content character ceiling is 2,000

role

required

Enter who writes the schema, such as product specialist, SEO expert, etc

type

required

Select the type of schema. Current available options: FAQ, product snippet

quantity

required

FALSE

coreKeyword

required

FALSE

titlecharacter

required

FALSE

descharacter

required

FALSE


keywordList

Optional

Input the language iso-code, Currently API provides 4 language, which are en, ja, zh-cn, zh-tw. The default language is en

llmversion

Optional

Current avalable model are OpenAI GPT, Palm, Gemini, Llama & Claude

apikey

Optional

Free trial API is required to input a LLM api key. Current available model for free trial user account is OpenAI GPT.

context_materials

Optional

Submit context materials information. Max. language characters is up to 8000


Automatic SEO Audit API

/api/3/seo-audit

AI SEO Schema Generator API

/api/3/seo-schema

AI SEO Metatag Content Generator API

/api/3/seo-metatag

AI SEO Content Keyword Density Optimizer API

/api/3/keyword-density-optimizer

AI SEO Product Description Generator API

/api/3/seo-pdp

AI SEO FAQ Generator API

/api/3/seo-faq


Code Integration and Response

Python Code Sample


import requests

MetaTag_apiendpoint = "https://api.buyfromlo.com/api/3/seo-metatag"
pdp_apiendpoint = "https://api.buyfromlo.com/api/3/seo-pdp"
density_ pdp_apiendpoint = "https://api.buyfromlo.com/api/3/keyword-density-optimizer"
schema_apiendpoint = "https://api.buyfromlo.com/api/3/seo-schema"
faq_apiendpoint = "https://api.buyfromlo.com/api/3/seo-faq"
techaudit_apiendpoint = "https://api.buyfromlo.com/api/3/seo-audit"

## Required Arguments & Parameters ##
token = "your buyfromlo token"
originalContent = "related content materials"
type = "Relevant type of generation from a specific endpoint"
quantity = "quantity of generation"
coreKeyword = "root or seed keywords used to optimise the content for SEO purpose
titlecharacter - "amount of characters in title"
descharacter = "amount of characters in description"

## Optional ##
language = "Target language. Default is English"
keywordList = "More keywords for SEO"
context_materials = "context materials"
llmversion = "LLM model. Default is Gemini"
apikey = "Add a specific LLM api key" (Free trial users only)

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

## Call the api ##
# SEO Metatag generator #
response = requests.post(
    MetaTag_apiendpoint, 
    json={
            "originalContent":originalContent,
            "type":type,
            "language":language
        }, headers= headers
    )
print(response.status_code)
print(response.json())

# SEO Metatag generator #
response = requests.post(
    MetaTag_apiendpoint, 
    json={
            "originalContent":originalContent,
            "type":type,
            "language":language
        }, headers= headers
    )
print(response.status_code)
print(response.json())
                        

JSON Response Sample


{
    "schema content response"
}