netintel.dev Table Extractor is a paid API for AI agents from netintel.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Extracts structured table data from a webpage or document and returns rows, columns, and cell values as JSON
Extract tabular data from messy text or HTML using Claude Haiku — detects columns and rows in unstructured content and returns clean structured JSON (columns + rows) so agents can turn pasted tables, HTML tables, and delimited text into usable data in one call.
Returns a JSON object with a quality grade (e.g. 'A') and numeric score (0–100), plus a 'table' object containing an array of column names, a row count, a column count, and an array of row objects with key-value pairs for each cell. Also includes a 'cached' boolean and a 'findings' array for any extraction notes or warnings.
POSThttps://netintel.dev/extract/tableUse this endpoint when you need to extract structured tabular data from a webpage or HTML document and get back clean, machine-readable rows and columns. Prefer it over generic scraping when you specifically need table contents as JSON with quality grading. Best for pricing tables, comparison grids, data tables, or any HTML <table> element on a page.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"table": {
"rows": [
{
"qty": "10",
"price": "5.00",
"product": "Widget A"
},
{
"qty": "4",
"price": "7.50",
"product": "Widget B"
}
],
"columns": [
"product",
"price",
"qty"
],
"row_count": 2
},
"cached": false,
"findings": [],
"column_count": 3
}
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