WEB DATA, ENGINEERED

Crawl Anything.
Build Everything.

AuraCrawl turns any public webpage into clean, structured data — just give us a URL and describe what you need.

https://blinkit.com/prn/adidas-regular-fit-mens-t-shirt-navy-blue/prid/570279
structured-output.json
{
  "product": "Adidas Regular Fit Men’s T-shirt (Navy Blue)",
  "size": "Small",
  "price_inr": 789,
  "mrp_inr": 999,
  "rating": 3.98,
  "in_stock": true
}
  • AURA STRIKE

    Built to get through Akamai, DataDome & PerimeterX-class defenses

  • AURA VISION

    Understands any page structure — no selectors, no schemas

  • AURA BUILD

    Clean, validated JSON on every delivery

  • DELIVERY

    Custom-scoped engagements, delivered by the engineers who build them

THE PIPELINE

See it. Strike through it. Build it.

Every engagement runs the same three-stage pipeline. You describe the data; the pipeline handles access, understanding, and structure.

  1. page pick an element

    Aura Vision

    See it

    Reads and understands any webpage. Identifies the data you asked for regardless of markup structure — no CSS selectors, no rigid schemas to maintain.

  2. defenses none cleared

    Aura Strike

    Strike through it

    Gets through the anti-bot defenses protecting hard targets — Akamai, DataDome, PerimeterX-class systems. However hardened the target, access is our problem, not yours.

  3. record building
    validated

    Aura Build

    Build it

    Structures extracted results into clean, validated JSON. Typed fields, enforced formats, delivered through your preferred channel.

Full breakdown

THE HARD PART

The open web fights back. You never see the fight.

A fingerprint scored as automated. A challenge rotated overnight. Markup reshuffled at 2am. A 200 that carries nothing at all. That is the surface every extraction actually meets, and absorbing it is the job — what reaches you is a validated record.

UNDER THE HOOD

Built like infrastructure, not like a script

A request takes the same path every time, and a run that dies resumes from where it stopped. Both of these are live — the run below can be killed and resumed.

request path streaming
  • Entry router fetch · render · strike
  • Render fleet headless workers
  • Extraction semantic anchors
  • Validation schema gate · drift
  • Delivery s3 · warehouse · api

A record enters on the left and is only delivered once it clears the gate. Nothing reaches you unvalidated.

a multi-target run collecting

Press kill, then resume. Every target is recorded the moment it finishes, so a resumed run re-fetches only the one that was in flight.

targets done0 re-fetched on resume

Illustrative run. The resume behaviour is real; the target count is not a specific job.

inside the platform flowing
ingress
Entry router http · browser · strike, per domain
Schedule layer job queues · burst smoothing
Memory store sessions · cookies · checkpoints
compute
Render fleet headless workers, pinned
Extraction semantic anchors, no selectors
Validation schema gate · drift alerts
delivery
Normalisation currency · units · dedupe
Delta engine what changed since last run
Sinks s3 · warehouse · webhook · api
price monitoringpincode-level quick commercereview aggregationstore-level reviewscompetitor deltasmarketplace assortmentstock-out alertscatalog auditsprice monitoringpincode-level quick commercereview aggregationstore-level reviewscompetitor deltasmarketplace assortmentstock-out alertscatalog audits
RAG corporaagent perceptionlead enrichmentbrand monitoringtravel faressize availabilityhiring signalssocial engagementdefended targetsRAG corporaagent perceptionlead enrichmentbrand monitoringtravel faressize availabilityhiring signalssocial engagementdefended targets

THE PLATFORM

What you are actually buying

Six things an engagement gives you. Every panel below is operable — select a row, a destination, or a mode and watch what the pipeline actually does with it.

  • [ 01 ]

    Reliability

    Data you can put in front of a customer.

    Access, rendering, and IP strategy are all owned by us rather than stitched together from resellers. Records that fail validation are re-collected before delivery, not shipped with a caveat.

    schema gate select a row

    Delivered — typed, normalised, deduped.

  • [ 02 ]

    Extraction

    Ask in a sentence. Get the fields.

    Aura Vision resolves a plain-language request against whatever structure the page happens to use — including markup that buries the value you actually need behind scripts and layout noise.

    extracted one pass
  • [ 03 ]

    Scale

    Volume is an engineering problem, not your problem.

    Concurrency, geo-aware routing, and session handling are sized to your target list during scoping. Pushing harder changes our capacity plan, not your integration.

  • [ 04 ]

    Delivery

    Lands where your stack already lives.

    A hosted endpoint, an S3 or GCS drop, a warehouse table, or a webhook stream. Deltas are deduplicated between runs, so you ingest what changed rather than re-processing the world.

    deliver to pick a destination

    Written as partitioned files, on your schedule.

  • [ 05 ]

    Composability

    Three collection modes, one response shape.

    Plain fetch, full render, or hardened-target mode — chosen per source during scoping. The records that come out are shaped identically, so your parsing code never learns which path a page took.

    collection mode same shape either way

    GET /records?mode=fetch — for open sites.

    identical response shape in all three
  • [ 06 ]

    Maintenance

    Target changes are our incident, not your outage.

    Layout changes and anti-bot rotations are watched and fixed on our side. If a source genuinely breaks, you hear it from us with the run that caught it — never from a silently emptying table.

USE CASES

What teams build on AuraCrawl

One pipeline, many jobs. Each engagement is scoped to your sources and delivered on your cadence.

INPUT → OUTPUT

A URL and a sentence. That is the whole spec.

No selector maintenance, no schema negotiation. Describe the data in plain language; get back records you can ship to production.

REQUEST

urlhttps://www.amazon.in/dp/B0FQFNQ5LX

ask“Get the product name, current price in ₹, the MRP, rating, stock status, and the delivery promise.”

auracrawl-response.json
{
  "asin": "B0FQFNQ5LX",
  "title": "Apple iPhone 17 Pro Max 256 GB — Cosmic Orange",
  "price_inr": 143990,
  "mrp_inr": 149900,
  "discount_pct": 4,
  "rating": 4.6,
  "rating_count": 545,
  "in_stock": true,
  "delivery": "Free delivery"
}
Real capture from Amazon.in, 21 Aug 2026. Marketplace prices move constantly — a point in time, not a quote.

Then choose how often that request runs. Cadence is scoped per source — try it:

collection cadence pick a rhythm

A single snapshot — a dataset, not a feed.

freshness is the biggest single cost lever

ANY SHAPE

One extraction. Whatever shape your pipeline reads.

Every panel below is the same real record, captured from one Blinkit product page. You are not choosing between our formats: you are describing yours, down to field names and units.

Grouped the way an API consumer expects it — product, pricing and availability as separate objects. Note the rating: it is in the payload, not on the rendered page.

record.json
{
  "source": "blinkit",
  "captured_at": "2026-08-21T06:45:00Z",
  "product": {
    "id": "570279",
    "name": "Adidas Regular Fit Men’s T-shirt (Navy Blue)",
    "brand": "Adidas",
    "size": "Small",
    "category": "Men’s Sports Wear"
  },
  "pricing": {
    "currency": "INR",
    "price": 789,
    "mrp": 999,
    "discount_pct": 21
  },
  "availability": {
    "in_stock": true,
    "inventory": 3,
    "merchant_type": "express"
  },
  "rating": 3.98
}

WHY AURACRAWL

A specialist team for the targets others give up on

  • Natural-language extraction

    You describe what you want in a sentence and we find it. Nothing to rewrite when a site changes its layout — your request stays the same.

  • Real anti-bot engineering

    Not just switching proxies and hoping. We have spent years working out how Akamai, DataDome and PerimeterX actually decide to block you — and we apply that to your sites.

  • Engineers, end to end

    You talk to the engineers who build and look after your data feed. No ticket queue, no account manager passing messages along.

  • An API is coming

    We are building a self-serve API, and we will say plainly that it is not ready yet. For now, every project starts with an email and a scoped plan.

SELF-SERVE API

Coming soon.

We are building an API so smaller jobs will not need a call with us first. It is not ready yet, and we would rather say that here than after you sign up. For now, every project starts with an email.

Describe your data targets. We'll scope your engagement.

Tell us which sites, which data, and how often. An engineer replies with a scoped plan and a sample — before you commit to anything.