Pricing

from $0.50 / 1,000 results

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

$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 ⚡

Pricing

from $0.50 / 1,000 results

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0.0

(0)

Developer

ninhothedev

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Developer tools

You can access the PDF Text Extractor - Text, Metadata & Page Count from PDF URL 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 Integrations settings 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://arxiv.org/pdf/1706.03762",
13        "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
14    ]
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("ninhothedev/pdf-text-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 Text Extractor - Text, Metadata & Page Count from PDF URL API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use PDF Text Extractor - Text, Metadata & Page Count from PDF URL 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 - Text, Metadata & Page Count from PDF URL API in Python

PDF Text Extractor - Text, Metadata & Page Count from PDF URL API through CLI

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

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

Extract text from PDF

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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.

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PDF Toolkit — Extract Text, Metadata & Page Count

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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 - Bulk PDF to Text & Metadata

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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 to Text API | Document Extraction for LLMs & RAG

andok/pdf-text-converter

Convert bulk PDF documents via URL into clean, raw text. The perfect document scraper for LLMs, vector databases, and RAG pipelines.

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PDF Text & Table Extractor (pdfplumber, batch URLs)

gochujang/pdf-text-extractor

Download any PDF by URL and extract clean per-page text + detected tables (as 2D arrays) + document metadata (title/author/created/modified). Powered by pdfplumber. Batch up to 50 PDFs. $0.01 per PDF + $0.0005 per page.

Hojun Lee

ATS-Ready Resume Parser — Extract Skills & Experience

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Automatically read resumes and PDFs. Extract contact info, skills, work history, and education.

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PDF URL to Markdown, Tables & RAG Extractor

thescrapelab/Apify-PDF-url-scraper

Extract clean Markdown, page text, tables, metadata, summaries, and AI-ready RAG chunks from PDF URLs.

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Web Page → Markdown Converter (Trafilatura, LLM-ready)

gochujang/web-to-markdown

Convert any URL to clean Markdown plus structured metadata (title, author, date, lang, image, tags). Uses trafilatura — the same library Common Crawl uses. LLM-ready output. Batch up to 500 URLs. $0.005 per URL.

Hojun Lee