Webpage Tables Extractor

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Turn any webpage's HTML <table>s into clean, structured JSON — headers and rows ready for a spreadsheet, an LLM, or a data pipeline.

Live on the Apify Store — run it instantly or call it as an agent tool via Apify MCP.

What you get

• Every real data <table> on the page, parsed to JSON.
• Each table: index, headers, rowCount, and rows (objects keyed by header, falling back to column index).
• Layout/spacer tables (single column or fewer than 2 rows) are automatically skipped.
• Loose colspan handling so cells stay aligned with headers.
• Single URL or bulk URLs in one run.

Input

{
"url":"https://en.wikipedia.org/wiki/List_of_largest_companies_by_revenue",
"maxUrls":25
}

Or bulk:

{
"urls":[
"https://example.com/report-a",
"https://example.com/report-b"
]
}

Output

One dataset item per page:

{
"url":"https://en.wikipedia.org/wiki/List_of_largest_companies_by_revenue",
"tableCount":1,
"tables":[
{
"index":0,
"headers":["Rank","Name","Industry","Revenue (USD millions)"],
"rowCount":50,
"rows":[
{
"Rank":"1",
"Name":"Walmart",
"Industry":"Retail",
"Revenue (USD millions)":"648,125"
}
]
}
]
}

Pricing: pay-per-event — charged once per page processed.