ivParser

Features Use Case Pricing Blog About Developers

ivParser

Features Use Case Pricing Blog About Developers

Self-healing long-term parsers are here

Turn any website into structured data.

DivParser's AI learns a page once, then replays self-healing selectors on every run — scheduled, proxied through bot walls, and delivered wherever your team works. Pay per credit, not per seat.

1,000 free credits · No credit card required · Credits never expire

divparser — quickstart

Request

curl -X POST https://api.divparser.com/v1/scrape \
  -H "Authorization: Bearer dp_live_••••••••" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://news.ycombinator.com",
    "schema": "Extract title, points and author
               for every post on the front page"
  }'

Response

200 OK

{
  "success": true,
  "data": [
    { "title": "Show HN: I built a scraper that heals itself", "points": 342, "author": "pg_boot" },
    { "title": "The economics of cached selectors",      "points": 218, "author": "dataloop" },
    { "title": "Ask HN: Best way to monitor prices?",    "points": 96,  "author": "frugaldev" }
  ],
  "meta": { "pages": 1, "credits_used": 3, "duration_ms": 1840 }
}

JSON out of the boxSelf-healing selectors3 credits per instant parse

Featured On

Directories and platforms where DivParser is listed

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Capabilities

Everything you need to extract data.

From a single URL to a fleet of scheduled parsers — one platform, one credit balance, zero infrastructure.

Scrape any URL → structured JSON

Point DivParser at any page — product listings, directories, dashboards behind logins — and get back clean, schema-aligned JSON. No selectors, no XPath, no maintenance.

Input

https://store.com/laptops?page=1

"name, price, rating, stock"

→

Output

[
  { "name": "ThinkPad X1",
    "price": "$1,899",
    "rating": 4.7,
    "stock": true }
]

Parse raw HTML

Already have the markup? POST it straight to /v1/parse and skip the fetch entirely.

POST /v1/parseany HTML corpus

Self-healing selectors

Layout changed? Selectors regenerate mid-run instead of failing.

Through bot walls

Residential proxies and an enterprise unblocker for Cloudflare & CAPTCHAs.

CloudflareCAPTCHAGeo-blocks

Auto-pagination

First page + last page is all you give it. Every page in between is handled.

page_1

page_2

page_3

+∞

Delivered where your team works

Every completed run pushes fresh structured data out automatically — no dashboard babysitting required.

Amazon S3Buckets

Google DriveFolders

DropboxFiles

Exports asJSONCSVExcel

Recurring Data

Put Your Data On Autopilot.

One-time scrapes are table stakes. DivParser runs your parsers on a schedule, keeps them working when sites change, and ships fresh data to wherever your team already lives.

Schedule Anything

Pick any URL, choose an interval — hourly, daily, weekly — and DivParser re-runs your parser forever. Pagination included: multi-page listings refresh end to end.

Any interval, unlimited concurrent schedules
Auto-pagination across every page
Run history & success rates per schedule

Selectors That Heal

Every scheduled run scores selector confidence against the live page. When a site redesigns, DivParser regenerates the broken selectors mid-run instead of failing.

Confidence-checked on every run
Automatic regeneration on layout drift
No 2am pager duty for broken scrapers

Delivered Where You Work

Fresh results don't wait in a dashboard. Each completed run pushes structured data straight into your cloud storage — as JSON, CSV, or Excel.

Amazon S3 buckets
Google Drive
Dropbox, hands-free

The cost curve

First run learns the page for 3 credits → every run after replays it for 1 credit → heals itself for 3 only when the site changes.

Why DivParser

Skip Writing Scrapers. Stop Maintaining Selectors.

AI Once. Not Every Run.

The first run uses AI to learn your page's structure and build a selector set. Every scheduled run after that replays those selectors directly — no LLM call, at a third of the cost. Recurring scrapes get cheaper the longer they run.

Selectors That Heal Themselves

Sites change; your scrapes shouldn't break. If a page's structure shifts and selector confidence drops, DivParser automatically regenerates them mid-flight — no broken runs, no manual fixes at 2am.

Set It and Forget It Schedules

Point DivParser at any URL, pick an interval, and fresh structured data arrives on its own — delivered to S3, Google Drive, or Dropbox. No cron jobs, no glue scripts, nothing to babysit.

Bot-Protected Sites? Handled.

Cloudflare walls, CAPTCHAs, geo-blocked content — route fetches through residential proxies or an enterprise-grade unblocker when a site fights back. You pick per scrape; we handle the plumbing.

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, database, 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 to write — or maintain.

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. Bot-protected site? Flip on a proxy or unblocker — no 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

Automate & Export

Get clean JSON, CSV, or Excel instantly — then put it on a schedule and let self-healing selectors deliver fresh data to S3, Google Drive, or Dropbox while you sleep.

Recipes

Any site. Same three steps.

Real prompts people run every day — paste a URL, describe the fields, get strictly-typed JSON back.

E-commerce

"Product name, price, rating & image URL from this Amazon listing."

namepriceratingimage

Real estate

"Address, price, bed/bath count & agent contact from Zillow."

addresspricebedsagent

News

"Title, publish date, author & key takeaways from this article."

titledateauthortags

Lead gen

"Companies, addresses & LinkedIn profiles from this directory."

companylocationlinkedin

Current Limitations

We're in early access — these are things we don't do well (yet):

Auth-required pages not supported

Smart Automation

Pagination That Just Works

Toggle pagination on, give the first URL, last URL, and page count. DivParser detects the pattern and scrapes every page in between automatically.

pagination.run

Detecting Pattern

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

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.

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

Pay-as-you-go credits — no subscriptions, no monthly quotas, and credits never expire. New accounts start with 1,000 free credits.

Starter

10,000 credits

$10

one-time

≈3,333 instant AI parses

≈10,000 scheduled runs on a saved parser

Credits never expire

S3, Drive & Dropbox delivery

Growth

33,000 credits

$30

one-time

+10% bonus credits

≈11,000 instant AI parses

≈33,000 scheduled runs on a saved parser

Credits never expire

S3, Drive & Dropbox delivery

Best Value

Pro

115,000 credits

$100

one-time

+15% bonus credits

≈38,333 instant AI parses

≈115,000 scheduled runs on a saved parser

Credits never expire

S3, Drive & Dropbox delivery

Frequently Asked Questions

Everything you need to know about DivParser

Credits are DivParser's pay-as-you-go currency — no subscriptions, no monthly quotas. Fetching, parsing, and storage each have a fixed credit cost (e.g. an instant AI parse costs 3 credits), and 1,000 credits equals $1. New accounts start with 1,000 free credits, and purchased credits never expire.

DivParser uses AI to analyze web pages and extract structured data based on your specifications. Simply provide the URL and describe 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.

The first run of a long-term parser uses AI to learn your page's structure and build a selector set. Every run after that replays those selectors directly — no LLM call — at roughly a third of the cost. And when a site's layout changes, the selectors heal themselves automatically instead of breaking.

Yes. For bot-protected or geo-restricted sites, route fetches through residential proxies or an enterprise-grade unblocker that clears Cloudflare challenges and CAPTCHAs. You choose per scrape; pricing differs per path — see the rate table on our pricing page.

DivParser outputs JSON natively, with CSV and Excel exports available from the dashboard. Scheduled runs can also deliver results automatically to Amazon S3, Google Drive, or Dropbox. (Webhook and Slack notifications about completed runs are configured separately.)

No hard limits — you're only constrained by your credit balance. Every action has a fixed, transparent credit cost, so you always know what a scrape will cost before you run it. Top up whenever you need more.

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.

ivParser

ivParser

Turn any website into structured data.

Everything you need to extract data.

Scrape any URL → structured JSON

Parse raw HTML

Self-healing selectors

Through bot walls

Auto-pagination

Delivered where your team works

Put Your Data On Autopilot.

Schedule Anything

Selectors That Heal

Delivered Where You Work

Skip Writing Scrapers. Stop Maintaining Selectors.

AI Once. Not Every Run.

Selectors That Heal Themselves

Set It and Forget It Schedules

Bot-Protected Sites? Handled.

Schema-Aligned Output

Plain English or Nestlang

How DivParser Works

Paste a URL

Describe Data

Automate & Export

Any site. Same three steps.

E-commerce

Real estate

News

Lead gen

Current Limitations

Pagination That Just Works

Detecting Pattern

Schema-Based Precision

STRICTZero Inconsistencies

DEVELOPER FRIENDLYIntuitive Syntax

DivParser as a Parsing Layer

Pricing

Frequently Asked Questions

What are credits, and how much do they cost?

How does DivParser work?

Do I need to write code to use DivParser?

What makes scheduled scrapes cheaper over time?

Can I scrape sites that block bots?

What data formats are supported?

Is there a limit on how much I can scrape?

How reliable is the data extraction?

Is my data secure?

Start Extracting in Minutes.