How do you extract tables from a PDF URL?

To extract tables from a PDF URL, pass the URL to a parser that can fetch the document and interpret its visual layout into rows and columns. For text-based PDFs with consistent formatting, rule-based libraries like pdfplumber or camelot work well; for scanned documents or variable layouts, LLM-based extraction handles the structure more reliably. Tables in PDFs have no underlying markup like HTML tables do: they are drawn using lines, whitespace, and positioned text, so parsers have to infer structure from layout rather than read it from tags.

Use rule-based parsers for machine-generated PDFs with rigid, predictable structure (financial exports, data extracts). For research papers, government filings, or any document where table formatting varies, LLM-based extraction is more reliable.

Firecrawl's document parsing accepts a PDF URL directly with no download required, and returns tables as structured Markdown. Combine it with schema-based extraction to pull specific table fields into a typed output without writing layout rules. For scanned sources, the ocr mode handles image-based pages before parsing.