Stop Hiring VAs.Turn Websites Into Spreadsheets
DivParser automates tedious web data extraction in minutes. No code. No headache. Just raw, high-fidelity data delivered directly to your workflow.
Access
Now Open
120+
Developers Testing
3,500+
Pages Parsed
Uptime
Production‑Ready Infrastructure
Built for Every Industry
From e-commerce to research, DivParser adapts to your specific data extraction needs
Market Research
Pull structured insights from competitor blogs and listings in seconds. No more paying VAs to copy-paste data into spreadsheets.
Academic & Data Research
Collect structured data from articles, publications, funding directories, and reference sites instantly for your analyses.
Real Estate
Scrape 1000s of property listings, pricing, and agent details. Stop manually tracking fast-moving data.
E‑commerce & Retail
Extract product catalogs, images, and competitor pricing automatically without managing cumbersome scraping scripts.
Travel & Hospitality
Gather hotel details, reviews, and travel information from booking sites to build massive travel datasets efficiently.
Lead Generation
Extract company names, physical addresses, and contact info from directories at scale without hiring data entry teams.
Why DivParser Instead of Copy/Paste or a VA?
Cheaper & Faster than VAs
Get structured datasets back in seconds, not days. Stop submitting manual tasks and paying hourly rates for tedious dataset creation.
Zero Human Error
Eliminate the typos, missed rows, and formatting inconsistencies that come with manual copy-pasting. Receive perfect, schema-aligned data every time.
No SOPs or Training Required
VAs need detailed instructions. Scraping scripts need developers. With DivParser, just type a simple natural-language prompt describing the data you need.
Speed Comparison
Turnaround TimeHow DivParser Works
Skip the complex SOPs and training. Here's how you get data instantly:
Paste a URL
Simply paste the URL you want to extract data from. No proxies, selectors, or technical setup required.
Describe Data
Instead of writing an SOP for a VA, just write a natural‑language prompt describing the fields you need.
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
{
"name": "Dyson V15 Detect",
"price": "$749.00",
"rating": 4.8,
"image": "https://amazon.com/v15-hero.jpg"
}Real Estate Leads
{
"address": "123 Silicon Valley Way",
"price": "$1,250,000",
"stats": {
"beds": 3,
"baths": 2.5
},
"agent": "jane.doe@realestate.com"
}Market Intelligence
{
"title": "The Future of Agentic AI",
"author": "Alex Rivera",
"date": "2026-04-15",
"tags": [
"AI",
"Agents",
"Future"
]
}Lead Generation
{
"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
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.
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.
Detecting Pattern
AI ANALYZING URL STRUCTURE...
DYNAMIC PARAMETER DETECTED: "page"
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.
products: the top 10 products (array)
-name: Product name (string)
-price: Product price (number)
-in_stock: Whether the product is in stock (boolean){
"products": [
{
"name": "Wireless Headphones",
"price": 99.99,
"in_stock": true
},
...
]
}Pricing
FREE
Individuals & Hobbyists
$0
/ month
STARTER
Small Teams & Startups
$10.99
/ month
PRO
Enterprises & Power Users
$29.99
/ month
Trusted By Businesses & Individuals Worldwide
Don't just take our word for it—see what our users are saying
We are still gathering success stories of our users
Frequently Asked Questions
Everything you need to know about DivParser
Ready to Transform Your Data Extraction?
Join thousands of users who are already extracting web data effortlessly with DivParser
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