Pricing

$3.00 / 1,000 processed pdfs

PDF Text Extractor — PDF URL to Text & Metadata API

Extract full text and metadata from any PDF URL: pages, characters, title/author/dates, bulk up to 50 PDFs per run. Built for RAG, document QA, and agent pipelines (Apify MCP). Flat $0.003 per PDF — no start fee, failed or non-PDF URLs never charged.

Pricing

$3.00 / 1,000 processed pdfs

Rating

0.0

(0)

Developer

Anthony Snider

Actor stats

Bookmarked

Total users

Monthly active users

15 hours ago

Last modified

Categories

Developer tools

Automation

You can access the PDF Text Extractor — PDF URL to Text & Metadata API 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("eliai/pdf-text-extractor").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF Text Extractor API - Extract Text from PDF by URL API in Python

The Apify API client for Python is the official library that allows you to use PDF Text Extractor — PDF URL to Text & Metadata API API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PDF Text Extractor — PDF URL to Text & Metadata API API in JavaScript

PDF Text Extractor — PDF URL to Text & Metadata API API through CLI

PDF Text Extractor — PDF URL to Text & Metadata API OpenAPI definition

PDF Text Extractor — PDF URL to Text & Metadata API 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

258

PDF Text Extractor API - URL to Text, Per-Page, Batch

gratifying_graph/pdf-extract-api

Turn any public PDF URL into clean text and metadata. Per-page output, batch processing, and a synchronous API mode for AI agents. Pay per page extracted, cheaper than the alternatives.

Jimmy A

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

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 to Text Extractor — Native Text & Metadata

junipr/pdf-to-text-extractor

Extract text, page metadata, outlines, links, and document info from PDFs with page-level output and automation-friendly exports.

junipr

Extract text from PDF

akash9078/pdf-text-extractor

Efficiently extract text content from PDF files, ideal for data processing, content analysis, and automation workflows. Supports various PDF structures and outputs clean, readable text.

Akash Kumar Naik

120

PDF Text Extractor — Markdown, OCR & Metadata

memo23/pdf-text-extractor

Turn any PDF URL into clean data: full text, LLM-ready Markdown, per-page content, and metadata. Reads scanned PDFs via OCR (23 languages), supports page ranges, and processes files in parallel. Export JSON, CSV, or Excel. Ideal for RAG pipelines, invoices, and research.

Muhamed Didovic

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.

Andok

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.

Inus Grobler

HTML to Markdown Converter - Bulk Web Content to MD

santamaria-automations/html-to-markdown

Extract main article content from any website and convert to clean Markdown including headings, links, images, tables, and code blocks. Perfect for LLM training, AI pipelines, and documentation. Export data, run via API, schedule and monitor runs, or integrate with other tools.