Pricing

from $12.00 / 1,000 record scrapeds

PDF to JSON Parser

Convert PDF documents into structured JSON. Extracts text, tables, and fields from any PDF URL, and can optionally run an AI structuring pass that turns raw text into clean, organized JSON ready for automation or analysis. No API key needed.

Pricing

from $12.00 / 1,000 record scrapeds

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

Automation

Developer tools

You can access the PDF to JSON Parser 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 = {
9    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "pdfUrls": ["https://raw.githubusercontent.com/mozilla/pdf.js/master/web/compressed.tracemonkey-pldi-09.pdf"],
13    "aiStructuring": False,
14    "ocr": False,
15    "ocrMaxPages": 5,
16    "maxItems": 3,
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("jungle_synthesizer/pdf-to-json-parser").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
24for item in client.dataset(run.default_dataset_id).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF to JSON Parser (AI-Powered) API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

PDF to JSON Parser API in JavaScript

PDF to JSON Parser API through CLI

PDF to JSON Parser OpenAPI definition

PDF to JSON Parser API

PDF Scraper

onidivo/pdf-scraper

Scrape and extract text from PDF links.

Onidivo Technologies

518

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

ninhothedev/pdf-text-extractor

$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 ⚡

ninhothedev

PDF Text & Table Extractor — PDF URL to Structured JSON

toolkitlabs/pdf-text-tables

Extract text and tables from PDF files. Send PDF URLs; get JSON with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference.

Toolkit Labs

Pdf API

vivid_astronaut/pdf

BRAINIALL Team

PDF Parser API

george.the.developer/pdf-parser-api

Instant API that parses any PDF from a URL — extracts full text, page count, metadata (title, author, dates), and PDF version. Returns structured JSON. Perfect for document processing pipelines and AI agents.

George Kioko

PDF to JSON Parser

parseforge/pdf-to-json-parser

Extract structured JSON data from PDF files automatically. Upload one or more PDFs and get clean, organized data with AI-powered field extraction.

ParseForge

5.0

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 — PDF URLs to Text

sourcedirect/pdf-text-extractor

Download PDFs from URLs and extract text for search, RAG, and automation. Free demo: https://vaytric.com/pdf-text/ — bulk PDF lists here.

Kurt Landman

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.