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from $3.00 / 1,000 results

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG

Turn any PDF URL into clean, LLM-ready Markdown + structured JSON (title, metadata, per-page text, page count, word count, token count). Perfect for RAG pipelines, AI agents, and LLM document ingestion.

Pricing

from $3.00 / 1,000 results

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0.0

(0)

Developer

Marvin Eguilos

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Bookmarked

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Monthly active users

2 days ago

Last modified

Categories

Developer tools

Automation

You can access the PDF Extractor: PDF → Clean Markdown + JSON for LLM/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 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 = { "urls": [
9        "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
10        "https://arxiv.org/pdf/1706.03762",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("boxbox10/pdf-extractor").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF Extractor – PDF to Markdown & JSON for LLM/RAG API in Python

The Apify API client for Python is the official library that allows you to use PDF Extractor: PDF → Clean Markdown + JSON for LLM/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 Extractor: PDF → Clean Markdown + JSON for LLM/RAG API in JavaScript

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG API through CLI

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG OpenAPI definition

PDF Extractor: PDF → Clean Markdown + JSON for LLM/RAG API

PDF to Markdown & JSON (RAG-Ready)

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Scrape any website into clean text & Markdown with RAG-ready chunks and token counts for LLMs, vector databases (Pinecone, Qdrant) and AI chatbots. Also extracts linked PDF/Word/Excel. Anti-block, robots.txt-aware. Website-to-text for beginners, full RAG pipeline for pros. CPU only, no API key.

Hitman studio

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.

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OCR & Document Extractor – PDF & Image to Text, JSON, Word

lofomachines/ocr-document-extractor

Convert scanned PDFs and images into clean, structured text in bulk. Export to JSON, Markdown, DOCX, TXT or HTML with tables and layout preserved.

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PDF to Markdown RAG-Ready

hedelka/pdf-to-markdown-rag

Premium PDF scraper that preserves tables and structure. Optimized for RAG.

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PDF to Markdown Converter - Extract & Format Text

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Convert PDF documents to clean, readable markdown format. Perfect for documentation and knowledge bases.

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Website to Markdown for LLMs & RAG — Content Extractor

runlayer/website-to-markdown

Turn any URL or whole site into clean, LLM-ready Markdown, text, or JSON. Strips nav/ads/boilerplate; keeps headings, links, tables, code. Sitemap-aware concurrent crawl, URL filters, robots.txt respected, rich metadata. Charged only per page extracted — no startup fee.

Runlayer