Pricing

$20.00 / 1,000 tables extracteds

Table Extractor â€” Scrape HTML Tables from Any URL to JSON/CSV

Table extractor for webpages: pass a URL and get every HTML table back as structured rows â€” JSON via the API or dataset, CSV via one-click export. For analysts, developers, and AI agents that need tabular data without writing a parser. Pay only for results, no code required.

Pricing

$20.00 / 1,000 tables extracteds

Rating

0.0

(0)

Developer

Anthony Snider

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Webpage Tables Extractor

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.

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