Converting REST API JSON Responses to SQL INSERT Statements
Learn how to convert paginated REST API JSON responses into SQL INSERT statements. Covers envelope unwrapping, pagination handling, data extraction, and incremental import patterns.
Detailed Explanation
REST API Response to SQL
Real-world API responses are rarely flat arrays. They typically include metadata envelopes, pagination, and nested data that must be unwrapped before SQL conversion.
Typical API Response
{
"status": "success",
"data": {
"users": [
{ "id": 1, "name": "Alice", "created_at": "2024-06-15T09:30:00Z" },
{ "id": 2, "name": "Bob", "created_at": "2024-06-14T14:22:00Z" }
]
},
"pagination": {
"page": 1,
"per_page": 20,
"total": 152
}
}
Step 1: Extract the Data Array
The converter needs to identify and extract the actual data from the envelope. Common patterns:
response.data-- standard enveloperesponse.data.users-- nested under a named keyresponse.results-- alternative namingresponse.items-- another common pattern
Step 2: Generate SQL
INSERT INTO users (id, name, created_at) VALUES
(1, 'Alice', '2024-06-15T09:30:00Z'),
(2, 'Bob', '2024-06-14T14:22:00Z');
Handling Pagination
For paginated APIs, the converter can generate SQL for each page and combine them:
-- Page 1
INSERT INTO users (id, name, created_at) VALUES
(1, 'Alice', '2024-06-15T09:30:00Z'),
(2, 'Bob', '2024-06-14T14:22:00Z');
-- Page 2 (separate request)
INSERT INTO users (id, name, created_at) VALUES
(3, 'Charlie', '2024-06-13T11:00:00Z'),
(4, 'Diana', '2024-06-12T08:15:00Z');
Nested Objects in API Responses
API responses often include nested related objects:
{
"id": 1,
"name": "Alice",
"department": { "id": 10, "name": "Engineering" }
}
The converter can either flatten (department_id, department_name) or normalize into separate tables.
Incremental Import Pattern
For periodic syncs, use timestamps to fetch only new data:
-- Use UPSERT to handle re-fetched records
INSERT INTO users (id, name, created_at) VALUES (...)
ON CONFLICT (id) DO UPDATE SET
name = EXCLUDED.name,
created_at = EXCLUDED.created_at;
Common API Providers
The converter handles response formats from popular APIs including GitHub, Stripe, Shopify, Slack, and Twilio, each with their own envelope structure and pagination style.
Use Case
When building a reporting dashboard that aggregates data from multiple REST APIs into a central SQL database, each API response must be unwrapped, normalized, and converted to INSERT statements. This pattern is the foundation of API-to-database ETL pipelines.
Try It — JSON to SQL
Related Topics
Flattening Nested JSON Objects for SQL INSERT
Batch Operations
Convert a JSON Array to Multi-Row INSERT Statements
Basic INSERT
Generating SQL UPSERT (INSERT ON CONFLICT) from JSON
Advanced Patterns
Optimizing Bulk JSON to SQL INSERT Performance
Batch Operations
Converting CSV-Structured JSON to SQL INSERT Statements
Real-World Scenarios