You can access the PDF Table Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "mode": "live",
12    "sourceMode": "startUrls",
13    "outputMode": "production-records",
14    "startUrls": []
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("zentrafoundry/pdf-table-extractor").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

PDF table extractor — text layer, no OCR API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use PDF Table Extractor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

PDF Table Extractor API in Python

PDF Table Extractor API through CLI

PDF Table Extractor OpenAPI definition

PDF Table Extractor API

PDF Text and Tables Extractor

timbered_oak/pdf-text-and-tables

Extracts text and heuristically-detected tables from arbitrary PDF URLs, no site or proxy required.

Mark

PDF Text Extractor — Markdown, Tables, OCR & RAG Chunks

nanare-sudo/pdf-text-extractor-rag

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Leonardo Berisha

PDF Text & Table Extractor with CSV Tables + OCR

inn_corp/pdf-text-table-extractor

Extract text, RAG-ready markdown, and tables from PDF URLs. Every detected table becomes its own CSV-ready dataset record. No OCR; scanned pages are flagged, never guessed.

Inn Corp

iTunes Podcast Snapshot

zentrafoundry/podcast-sponsor-prospect-finder

iTunes Search API podcast collections. Not extracted sponsors or host emails. $0.029 / show.

Zentra

PDF Table Extractor - PDF to CSV & Excel ($0.03/page)

eastwoodapps/pdf-table-extractor

Extract tables from PDF reports, statements and price lists into clean CSVs that open straight in Excel: one CSV per table plus a combined dataset ready for analysis or LLM pipelines. Batch URLs. Your documents stay yours - nothing stored. $0.03 per page.

Eastwood Apps

PDF Table Extractor

ely_source/pdf-table-extractor

Extract every table from PDF invoices, purchase orders, price lists and bank statements into clean JSON with real column names. Reads ruled and whitespace-aligned tables, flags scanned files, and never fails a whole batch because one file was unreachable.

Alexandre Leclerc

PDF Text Extractor: tables, OCR, Markdown, JSON per page

brenton8907/pdf-text-table-ocr-extractor

Extract source-aware per-page text, conservative tables as CSV/Excel-ready rows, metadata, and OCR for scanned PDF pages with confidence scores. Text spacing and reading order depend on the PDF's embedded text layer. Pay per page, no per-file fee.