Automating JSON-LD Schema Generation with Python & SERPSpur

Working on structured data for a client's blog, I needed a quick way to generate JSON-LD for different schema types. Here's a script that uses the SERPSpur API to create Article and FAQ schemas:

python
import requests

API_KEY = "your_api_key_here"

def generate_schema(schema_type, content):
response = requests.post(
"https://api.serpspur.com/v1/schema/generate",
headers={"Authorization": f"Bearer {API_KEY}"},
json={"type": schema_type, "content": content}
)
return response.json()["json_ld"]

Generate FAQ schema for a blog post

faq_data = {
"mainEntity": [
{"name": "What is SEO?", "acceptedAnswer": {"text": "SEO stands for Search Engine Optimization."}},
{"name": "Why is schema important?", "acceptedAnswer": {"text": "Schema helps search engines understand your content."}}
]
}
schema_output = generate_schema("FAQPage", faq_data)
print(schema_output)

This made it easy to test different schema variations without manual JSON editing. Have you found any tricky schema types that are harder to automate?

Comments

[Sophia]

Great script! I've found Product schema a pain to automate because of all the nested properties like offers and reviews. Have you tried generating that with this API yet?

[Matt Joshi]

Nice approach! I've found that Product schemas can be tricky due to all the nested properties (like offers, reviews, and aggregate ratings). Automating those with an API definitely saves time.