Dashboard + REST API · AI Extraction

Any Page. Any HTML.Structured Data.

DivParser is an intelligent extraction platform for developers, analysts, and researchers. Use the interactive dashboard to scrape and explore data visually, or hit the REST API to integrate extraction directly into your pipeline.

Interactive dashboard
REST API + API keys
Free tier available
Input URL
https://example.com/products/123
OUTPUT_BUFFER_V2
IDLE
Product Name
Price
Availability
SKU

Free

To Start

Any HTML

URL or raw markup

JSON · CSV · Excel

Export formats

REST API

Dashboard + API keys

What You Can Build

Drop DivParser into your stack as an extraction layer — or use the dashboard to collect data without writing a line of code.

Data Pipeline Integration

Use DivParser as the extraction step inside your existing pipeline. POST a URL or raw HTML, define your schema, get structured JSON back — no custom scraper to maintain.

READY_FOR_EXTRACTION

Price & Market Monitoring

Schedule recurring scrapes on competitor pages, listing sites, or marketplaces. Structured results land directly in your database or dashboard on your cadence.

READY_FOR_EXTRACTION

Research Dataset Collection

Extract structured data from academic sources, public directories, or news archives. Export to JSON, CSV, or Excel and feed it straight into your analysis workflow.

READY_FOR_EXTRACTION

Product Catalog Extraction

Pull product names, prices, images, and metadata from any e-commerce page. Handles pagination automatically — give it a URL range and it scrapes every page.

READY_FOR_EXTRACTION

Structured Listing Scrapes

Real estate, job boards, classifieds — any site with repeating structured listings. Define once what to extract and DivParser handles the rest across hundreds of pages.

READY_FOR_EXTRACTION

Parsing Existing HTML

Already have HTML from a dataset, archive, or another scraper? POST it directly to the parse endpoint and extract structured data without touching the live site again.

READY_FOR_EXTRACTION
Why DivParser

Skip Writing Scrapers. Stop Maintaining Selectors.

Results in Seconds, Not Hours

Submit a URL and a schema, get structured JSON back in seconds. No browser automation scripts to write, no headless browser to configure.

Schema-Aligned Output

Data comes back exactly as you defined it — consistent field names, correct types, no stray columns. Drop it straight into your pipeline or spreadsheet.

Plain English or Nestlang

Describe what to extract in natural language, or use Nestlang for strict typed schemas. Either way, no CSS selectors or XPath expressions needed.

Speed Comparison

Turnaround Time
TRADITIONAL VA48-72 HOURS
DIVPARSER AI< 30 SECONDS
BENEFIT: 99.9% TIME REDUCTION

How DivParser Works

Three steps from URL to structured data.

https://amazon.com/dp/B0CHXFX7D4...
LINK DETECTED
STEP 01

Paste a URL

Simply paste the URL you want to extract data from. No proxies, selectors, or technical setup required.

JSON_OUTPUT
STEP 02

Describe Data

Write a natural‑language prompt or a Nestlang schema describing the fields you need. No selectors, no XPath.

STEP 03

Export Instantly

Download perfectly structured CSV or Excel files in seconds. Review the data and import it right into your workflow.

Extraction Recipes.

See how easy it is to extract different types of data using DivParser.

E-Commerce Extraction

RECIPE_01
Input Prompt
"Extract product name, price, rating, and high-res image URL from this Amazon listing."
Structured Output
JSON
{
  "name": "Dyson V15 Detect",
  "price": "$749.00",
  "rating": 4.8,
  "image": "https://amazon.com/v15-hero.jpg"
}

Real Estate Leads

RECIPE_02
Input Prompt
"Get the property address, price, bed/bath count, and agent contact info from Zillow."
Structured Output
JSON
{
  "address": "123 Silicon Valley Way",
  "price": "$1,250,000",
  "stats": {
    "beds": 3,
    "baths": 2.5
  },
  "agent": "jane.doe@realestate.com"
}

Market Intelligence

RECIPE_03
Input Prompt
"Identify article title, published date, author, and key takeaways from this TechCrunch blog."
Structured Output
JSON
{
  "title": "The Future of Agentic AI",
  "author": "Alex Rivera",
  "date": "2026-04-15",
  "tags": [
    "AI",
    "Agents",
    "Future"
  ]
}

Lead Generation

RECIPE_04
Input Prompt
"Extract company names, physical addresses, and LinkedIn profiles from the local business directory."
Structured Output
JSON
{
  "company": "Acme Corp",
  "location": "San Francisco, CA",
  "links": {
    "linkedin": "linkedin.com/acme"
  }
}

Current Limitations

We are in early access, this are things we don't do well (yet)

  • Auth-required pages not supported
Smart Automation

Pagination That Just Works

Toggle on pagination, enter your first URL, last URL, and number of pages. DivParser auto-detects the pattern, generates all intermediate URLs, and scrapes them automatically.

ONE-CLICKSimple Toggle

Just toggle pagination ON. Enter your starting URL, ending URL, and how many pages you need. No complex configuration—DivParser handles the rest.

Works with any URL pattern

AUTOSmart URL Generation

DivParser analyzes your first and last URLs, detects the pattern, and automatically generates every URL in between. No manual URL listing required.

Pattern detection engine
extraction_pipeline.py

Detecting Pattern

https://store.com/category/laptop?page=1

AI ANALYZING URL STRUCTURE...
DYNAMIC PARAMETER DETECTED: "page"

Powered by Nestlang

Schema-Based Precision

Say goodbye to messy, inconsistent AI outputs. DivParser runs on Nestlang, guaranteeing that every extraction perfectly matches your required schema with strict type validation.

STRICTZero Inconsistencies

Most AI tools hallucinate or format data randomly. Nestlang ensures if you ask for a number, you get a number. If a field is missing, it handles it predictably. Structure is enforced at the core level.

DEVELOPER FRIENDLYIntuitive Syntax

Define your schema using Nestlang's natural language syntax. Whether you need basic lists or deeply nested relational data, the engine rigorously enforces the output type with human-readable definitions.

schema.nsl
products: the top 10 products (array)
-name: Product name (string)
-price: Product price (number)
-in_stock: Whether the product is in stock (boolean)
output.json
{
"products": [
{
"name": "Wireless Headphones",
"price": 99.99,
"in_stock": true
},
...
]
}
100% Deterministic Extraction
Parse API

DivParser as a Parsing Layer

You don't need DivParser to fetch the page. If you already have HTML — from a file, a dataset, another scraper, or your own crawler — hand it directly to DivParser and get back structured JSON.

DevelopersIntegrates with any stack

Already running your own crawler or browser automation? Drop DivParser in as the extraction step. POST the HTML, define your schema, get structured JSON back — no need to rewrite your pipeline.

AnalystsNo live URL required

Working with saved HTML exports, cached pages, or files handed to you by a client? Upload the markup and extract exactly what you need — tables, lists, nested data — in one call.

ResearchersWorks on any HTML corpus

Processing large HTML datasets from archives, research corpora, or bulk exports? Run DivParser as a batch extraction layer over your existing data without touching the source sites.

Example — POST /v1/parse

curl
curl -X POST "https://api.divparser.com/v1/parse" \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "html": "<html>..your content..</html>",
    "schema": "Extract product name, price, and stock status",
    "name": "product-batch-01"
  }'
response200 OK
{
  "id": "scr_parse001",
  "status": "COMPLETED",
  "results": [
    {
      "data": [
        { "name": "Widget Pro", "price": "$49.99", "stock": "In Stock" },
        { "name": "Widget Lite", "price": "$19.99", "stock": "Low Stock" }
      ]
    }
  ]
}

Works with any HTML source — files, scrapers, archives, exports

Pricing

FREE

Testers and Validators

$0

/ month

Basic Support
JSON, CSV, and Excel Export
20 Scrapes / Month
7 days data retention

STARTER

Individuals & Hobbyists

$10.99

/ month

Premium Support
JSON, CSV, and Excel Export
30 days data retention
500 Scrapes / Month

PRO

Freelancers & Power Users

$29.99

/ month

Premium Support
60 days data retention
JSON, CSV, and Excel Export
1000 Scrapes / Month
Popular

Frequently Asked Questions

Everything you need to know about DivParser

DivParser uses advanced AI algorithms to analyze web pages and extract structured data based on your specifications. Simply provide the URL and define the data fields you need, and our system handles the rest automatically.
No. The interactive dashboard lets you describe what to extract in plain English and get results without writing any code. If you're a developer, the REST API and API keys let you integrate extraction directly into your pipeline — same extraction engine, your infrastructure.
DivParser supports multiple output formats including JSON, CSV, and EXCEL. You can easily export your extracted data in the format that best suits your workflow and integrate it with your existing tools.
Limits depend on your subscription plan. Our free tier includes generous limits for testing, while paid plans offer higher quotas and additional features. Check our pricing page for detailed information.
Extraction quality is high on well-structured pages — product listings, directories, and data-heavy sites tend to produce clean, complete results. Complex or heavily JavaScript-rendered pages may require more specific schema instructions. We're in early access and actively improving the model — we'd rather be honest about that than overpromise.
Absolutely. We take data security seriously with enterprise-grade encryption, secure data storage, and compliance with industry standards. Your extracted data is private and accessible only to you.

Start Extracting in Minutes.

REST API, API keys, schedules, and a parse endpoint ready to drop into your pipeline.

As Featured In

AI X Collection
Listed on Kick Product
DivParser is now in the SaaS search engine
AI X Collection
Listed on Kick Product
DivParser is now in the SaaS search engine