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from $43.00 / 1,000 enriched records

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PDF Table Extractor

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Extract text-based tables from user-provided or approved public PDFs into structured rows.

Pricing

from $43.00 / 1,000 enriched records

Rating

0.0

(0)

Developer

Zentra

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

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Extract structured tables from public PDF URLs into JSON rows and coordinate-aware cells with page provenance, confidence scores, and parsing warnings.

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Extract tables from any PDF into clean structured rows ready for CSV or Excel. Auto-detects ruled and borderless tables, with page number, row/column counts, and an accuracy score per table. Powered by Camelot, the open-source PDF table extraction library.

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This actor downloads PDFs from provided URLs, extracts text content from them, and saves the extracted data into an Apify dataset. It’s ideal for scraping and processing PDFs available online.

sami

PDF Text Extractor — Structured Tables, Markdown & Metadata

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Extract text from PDF URLs at scale: full text, per-page text, real structured tables (rows and columns as JSON, not text lines), document metadata and clean Markdown for LLM/RAG. The table extraction generic PDF text extractors don't have. No credentials needed.

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Extract text and tables from PDFs in a clear, readable format. Provides well-organized tables and cleans up messy spacing, making PDF content easy to view, copy, or share—directly from a PDF link.

Muhammad Zain Abid

Table Extractor — Scrape HTML Tables from Any URL to JSON/CSV

eliai/webpage-tables-extractor

Table extractor for webpages: pass a URL and get every HTML data table back as structured rows — JSON via the API or dataset, CSV/Excel via one-click export. Layout tables skipped automatically. For analysts, developers and AI agents. $0.02 per page, failures free.