You can access the PDF Text Extractor Batch 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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("snapperwapper/pdf-text-extractor-batch").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 Batch API in Python

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

PDF Text Extractor Batch API through CLI

PDF Text Extractor Batch OpenAPI definition

PDF Text Extractor Batch API

PDF Text Extractor - Extract Text from PDF by URL API

eliai/pdf-text-extractor

Extract text from PDF by URL. Input: url of a PDF. Output: JSON with full extracted text, page count, and document metadata (title, author, dates). Built for RAG pipelines, document QA, and agents. Pay-per-result at $0.05 per PDF processed.

Anthony Snider

PDF Scraper

onidivo/pdf-scraper

Scrape and extract text from PDF links.

Onidivo Technologies

518

📄 PDF Text Extractor

scrapio/pdf-text-extractor

📄 PDF Text Extractor (pdf-text-extractor) extracts clean text from PDF files for faster search, data analysis, and content reuse. ⚡ Saves time & boosts productivity for research, automation, and document workflows.

Scrapio

PDF Metadata & Content Extractor — Extract text & metadata

perryay/pdf-metadata-extractor

Download and extract metadata, text content, and page count from PDF documents. Supports batch processing with concurrent downloads.

Perry AY

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

scraper-engine/pdf-text-extractor

📄✨ PDF Text Extractor extracts clean text from PDF files with precision. ⚡ Perfect for data mining, document processing, and searchable archives. 🚀 Fast, reliable, and efficient for your workflow!

Scraper Engine

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 Extractor

api-empire/pdf-text-extractor

📄 PDF Text Extractor effortlessly converts PDF files into searchable text and clean output. ⚡ Fast, accurate, and user-friendly—ideal for document analysis, data extraction, and content indexing. 🚀 Perfect for research, compliance, and automation.

API Empire

📄 PDF Text Extractor

simpleapi/pdf-text-extractor

📄✨ PDF Text Extractor pulls clean text from PDF files fast and accurately. Perfect for parsing, indexing, and document search — saving hours on manual copy-paste. 🚀📊 Try it now!

SimpleAPI

PDF Text Extractor

jirimoravcik/pdf-text-extractor

PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.