You can access the PDF Text 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    "urls": [
12        "https://www.orimi.com/pdf-test.pdf"
13    ],
14    "maxConcurrency": 3,
15    "timeoutPerPdfSecs": 60
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("parsebird/pdf-text-extractor").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

PDF Text Extractor API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use PDF Text 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 Text Extractor API in Python

PDF Text Extractor API through CLI

PDF Text Extractor OpenAPI definition

PDF Text Extractor API

PDF Text Extractor

automation-lab/pdf-text-extractor

Extract text, metadata, and page-by-page content from PDF files. Provide PDF URLs and get structured JSON with full text, per-page text, page count, author, title, creation date, and more. Export as JSON, CSV, or Excel. No browser or proxy needed.

Stas Persiianenko

404

PDF Text Extractor – PDF to Text, Metadata & Pages

haketa/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, per-page text, page count, title, author, dates and producer. No browser, no OCR needed for text PDFs. Ideal for AI/RAG, search and document data extraction. Export to JSON, CSV or Excel.

Haketa

PDF Text Extractor - Text, Metadata & Page Count from PDF URL

ninhothedev/pdf-text-extractor

$0.5/1K 🔥 PDF text extractor API! Extract full text, metadata & page count from any PDF URL — ready for RAG, LLMs & AI pipelines. No API key. Export JSON, CSV, Excel or API in seconds ⚡

ninhothedev

PDF Text Extractor — Text & Metadata from URLs

darknezz/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, page count, title, author, dates as JSON. Perfect for AI pipelines, RAG ingestion, document search and content analysis. No API key needed.

Oaida Adrian

PDF Text Extractor — text, metadata, per page

x402opklaar/pdf-text-extractor

PDF URLs in, clean text out: full text, per-page text, title/author/page-count metadata. No browser, no OCR overhead — fast digital-PDF extraction. You only pay for PDFs that actually extract; failures are free.

Opklaar

PDF Text and Markdown Extractor

fetch_cat/pdf-text-markdown-extractor

Extract public PDF URLs into clean text, Markdown, page content, OCR state, and document metadata for AI and automation workflows.

Hanna Nosova

PDF Text Extractor - Bulk PDF to Text & Metadata

santamaria-automations/pdf-extractor

Extract text and metadata from any PDF URL in bulk. Get page content, author, title, creation date, and more. Detects scanned PDFs that need OCR. Perfect for document analysis, research, and compliance.

NanoScrape

PDF Text & Table Extractor — PDF URL to Structured JSON

toolkitlabs/pdf-text-tables

Extract text and tables from PDF files. Send PDF URLs; get JSON with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference.

Toolkit Labs

PDF to Text API — Extract PDF Text to Clean JSON for LLM & RAG

omao/pdf-text

Extract clean, structured text from any PDF by URL, page by page. Returns one row per page with de-hyphenated, whitespace-normalized text. Fast, no setup.

Marouane Oulabass

Pdf Text Extractor Pro

dainty_screw/pdf-text-extractor-pro

PDF Text Extractor lets you quickly extract text from PDF files with high accuracy. Supports text chunking for AI, chatbots, and large language models (LLMs), making PDF-to-text conversion fast, clean, and ready for NLP or machine learning.