Extract tabular data from messy text or HTML using Claude Haiku — detects column
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
935 msmedian answer time
$0.02listed price per call
$0.02price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://netintel.dev/extract/table
| Category | Search and research |
|---|---|
| Provider host | netintel.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.02 | 935 ms |
Example input (from the provider)
{
"body": {
"text": "product | price | qty\nWidget A | 5.00 | 10\nWidget B | 7.50 | 4"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"text": {
"description": "The messy text or HTML containing tabular data to extract. Max 10000 words or 50KB. Aliases also accepted: content, html, csv, table, markdown, data.",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"cached": {
"description": "True if served from the in-memory cache.",
"type": "boolean"
},
"column_count": {
"description": "Number of columns detected.",
"type": "number"
},
"findings": {
"description": "Informational findings (e.g. no_table_found, count_mismatch).",
"items": {
"type": "string"
},
"type": "array"
},
"grade": {
"description": "Letter grade A-F",
"type": "string"
},
"score": {
"description": "Quality score 0-100",
"type": "number"
},
"table": {
"description": "Parsed table: columns (array of column names), rows (array of objects keyed by column name), and row_count (number of rows). Empty columns/rows with row_count 0 when no tabular structure is detected.",
"type": "object"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}