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Vextorium HTML Table Extractor
x402
Vextorium HTML Table Extractor is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-11).
Fetches a webpage and extracts all HTML tables from it, returning structured rows, columns, and titles for each table found.
Price / call$0.004
Success—
StatusUnknown
How this service works
Extract the HTML tables of a web page as JSON (headers and rows, merged cells handled, layout tables skipped): Wikipedia lists, public statistics or reports, ready to analyze.
Output
A JSON object containing an array of tables found on the page. Each table includes its index, title, column headers, number of rows, and an array of row objects (key-value pairs matching column names to cell values). Also returns the final resolved URL after any redirects and the total count of tables on the page.
Example use cases
Wikipedia statistics data extraction
“Pull all the tables from https://en.wikipedia.org/wiki/List_of_countries_by_population and give me the country names and population figures as structured data.”
Government statistics page scraping
“Extract the tables from https://www.worldometers.info/world-population/population-by-country/ — I only want the first table and cap it at 50 rows.”
Financial data table from public report
“Grab just table index 2 from https://www.imf.org/en/Publications/WEO and return its rows and column headers as JSON so I can work with the numbers.”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/html-tables?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract structured tabular data directly from a public webpage — especially Wikipedia, government statistics pages, or financial data portals — without writing your own scraper. It's ideal for one-off or pay-per-call data needs where setting up a full scraping pipeline isn't worth the overhead. Use the index parameter when you know which specific table you want to avoid processing noise from other tables on the page.
Side effects
- URL is unreachable or returns a non-200 HTTP status — no tables returned
- Page contains no HTML tables — empty tables array
- Specified table index does not exist on the page — empty or null result
- Page requires JavaScript rendering — static HTML scraper may miss dynamically loaded tables
- Rate-limited or blocked by the target website — request may fail or return partial data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"tables": [
{
"rows": [
{
"Country/Territory": "World",
"IMF ( 2026 ) [ 1 ]": "126,295,331",
"World Bank (2025) [ 6 ]": "118,350,166",
"United Nations (2024) [ 7 ]": "111,565,144"
},
{
"Country/Territory": "United States",
"IMF ( 2026 ) [ 1 ]": "32,383,920",
"World Bank (2025) [ 6 ]": "30,769,700",
"United Nations (2024) [ 7 ]": "29,298,000"
}
],
"index": 2,
"title": "GDP forecast or estimate (million US$) by country",
"columns": [
"Country/Territory",
"IMF ( 2026 ) [ 1 ]"
],
"num_rows": 222
},
{
"rows": [
{
"IMF ( 2026 ) [ 1 ]": "126,295,331",
"Regional groupings": "World",
"World Bank (2024) [ 6 ]": "110,983,000"
},
{
"IMF ( 2026 ) [ 1 ]": "73,813,712",
"Regional groupings": "Advanced Economies/High Income [ r 1 ]",
"World Bank (2024) [ 6 ]": "71,321,000 [ r 2 ]"
}
],
"index": 3,
"title": "GDP forecast or estimate (million US$) by region or grouping",
"columns": [
"Regional groupings",
"IMF ( 2026 ) [ 1 ]"
],
"num_rows": 13
}
],
"url_final": "https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nominal)",
"tables_on_page": 8
}
}Tags
x402
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