HTML Table Extractor

Pull structured table data from any web page and export it as clean JSON or CSV. No custom scraper needed — just provide URLs containing HTML tables and get rows and columns as structured data. Process multiple pages in a single run.

Features

• Automatic table detection — finds all <table> elements on each page
• Header recognition — detects <th> headers or uses the first row as column names
• Bulk processing — extract tables from multiple URLs in one run
• Clean JSON output — each table row becomes a structured object with named fields
• Configurable concurrency — process 1 to 50 URLs in parallel

Input

Field	Type	Required	Default	Description
urls	array	No	—	List of webpage URLs to extract tables from
url	string	No	—	Single URL for backwards compatibility (use urls for bulk)
timeoutSeconds	integer	No	15	Maximum seconds to wait for each URL response
concurrency	integer	No	10	Number of URLs to process in parallel (1-50)

Input Example

{
  "urls": [
    "https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)"
  ]
}

Output

Each URL produces one dataset item containing all tables found on the page.

Key output fields:

• inputUrl (string) — the original URL provided
• finalUrl (string) — the URL after following redirects
• status (number) — HTTP status code
• tableCount (number) — number of tables found on the page
• tables (array) — array of table objects, each containing headers and rows
• error (string) — error message if extraction failed, otherwise null
• checkedAt (string) — ISO 8601 timestamp

Output Example

{
  "inputUrl": "https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)",
  "finalUrl": "https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)",
  "status": 200,
  "tableCount": 2,
  "tables": [
    {
      "headers": ["Rank", "Country", "Population"],
      "rows": [
        ["1", "India", "1,450,935,791"],
        ["2", "China", "1,419,321,278"]
      ]
    }
  ],
  "error": null,
  "checkedAt": "2025-01-15T10:30:00.000Z"
}

Pricing

Event	Cost
Table Extracted	Pay-per-event (see actor pricing page)

Use Cases

• Data collection — grab financial data, sports stats, or product specs from web pages without writing a scraper
• Spreadsheet import — convert HTML tables to CSV or JSON for import into Excel or Google Sheets
• Research automation — extract tabular data from Wikipedia, government sites, or academic pages
• Price monitoring — pull pricing tables from competitor websites

Related Actors

Actor	What it adds
Web Page to Markdown Converter for LLMs	Convert full page content to Markdown including tables
JSON-LD Schema Extractor	Extract structured data from Schema.org markup