You can access the PDF & DOCX to Markdown + JSON Chunks for RAG 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

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 = { "urls": ["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("badboxx_newlife/pdf-docx-to-markdown-chunks").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF & DOCX to Markdown + JSON Chunks for RAG API in Python

The Apify API client for Python is the official library that allows you to use PDF & DOCX to Markdown + JSON Chunks for RAG API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PDF & DOCX to Markdown + JSON Chunks for RAG API in JavaScript

PDF & DOCX to Markdown + JSON Chunks for RAG API through CLI

PDF & DOCX to Markdown + JSON Chunks for RAG OpenAPI definition

PDF & DOCX to Markdown + JSON Chunks for RAG API

PDF & DOCX to Markdown — Document Extractor for LLM/RAG

fetchbase/document-to-markdown

Convert PDF and Word (DOCX) documents into clean Markdown, text, or JSON. Smart PDF paragraph reflow, page markers for RAG citations, full DOCX structure (headings, lists, tables), custom auth headers. No browser — parses in seconds. Charged per page processed — no startup fee.

Fetchbase

AI-Powered Smart Web Scraper

cloud9_ai/ai-web-scraper

Intelligent content extraction from any website using Crawlee + AI. Auto-detects structure, adapts to layout changes, handles JavaScript rendering. No custom code needed. Extract articles, products, listings from 1000s of pages.

cloud9

AI Prompt Keyword Matcher

antonio_espresso/ai-prompt-keyword-matcher

Analyze prompts for fuzzy keyword matches and brand token usage.

Antonio Blago

PGVector Integration

apify/pgvector-integration

This integration transfers data from Apify Actors to a Postgres SQL database (with PGVector extension).

Apify

4.6

(5)

PDF Text Extractor — Text, Markdown, Tables and OCR

lergassy/pdf-text-extractor

[$0.003/PDF] Extract text from PDF files by URL, upload or base64: full text, per-page text, Markdown, tables and metadata. Scanned pages are read with OCR in 19 languages. Password PDFs, page ranges, RAG chunks. No fee per run.

Matvey

Markdown Maker: HTML to Markdown 📝

shahidirfan/Markdown-Maker

Instantly convert complex HTML into clean, structured Markdown. This lightweight actor is optimized to render web content into a format that is easily readable for AI LLMs, reducing token usage and improving context. Perfect for RAG pipelines and preparing data for training.

Shahid Irfan

5.0

(1)

Weaviate Integration

apify/weaviate-integration

This integration transfers data from Apify Actors to a Weaviate and is a good starting point for a question-answering, search, or RAG use case.

Apify

5.0

(4)

Web-to-Markdown Generator for AI & RAG Pipelines

profitstack/web-to-markdown-generator-for-ai-rag-pipelines

Convert any website into clean, heading-based chunking, LLM-ready Markdown for RAG and AI agents.

Manas Mantri

Product Data Extractor API — Price, Title, Images & Stock

highbrow_fame/product-page-extractor-api

Name, brand, price, currency, stock, rating, images, SKU/GTIN and variants from a product page's schema.org JSON-LD, microdata or Open Graph tags. One JSON record per URL. Product Data Extractor API.

yestrue

Documents to Markdown for LLMs: PDF, Office, HTML, OCR

rado-dev/documents-to-llm-markdown

Convert PDF, Word, PowerPoint, Excel, HTML, text and scanned documents into clean Markdown with tables, token counts and RAG-ready chunks with page numbers. Tesseract OCR for scans. Failed documents are free.

RADO