Platform · Spinny

Spinny Data Scraping

A Spinny car is in a particular city's hub, at a fixed price, with a list of checks Spinny says it has done.

Spinny data scraping covers the inventory of the Indian used-car retailer that buys, refurbishes and sells its own cars. Stock sits in city hubs, so the city is part of every listing. Spinny's inspection and quality statements are the retailer's claims, recorded as such. Prices are fixed by the retailer. Private sellers' personal details are never collected, number plates are not collected from private listings, and a listing that disappears is not recorded as a sale.

A retailer's inspection badge is a promise from the seller. Useful, and it is the seller's.

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spinny_sample.jsonl LIVE FEED

{"city":"Bengaluru","hub":"as displayed","price":612000} {"retailer_claims":"inspection statements as shown","claim_source":"spinny"} {"cross_city_comparison":false}

illustrative sample rows · INwhere the car is, and who vouches for it · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Spinny or its owners. Spinny and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Spinny at a glance

How we handle Spinny specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Retailer: Spinny — own stock, India
Stock: In city hubs
So: city on every listing
Inspection statements: The retailer's claims
Prices: Fixed by the retailer
Group: Includes Truebil, GoMechanic, Autocar India
Corporate: IPO pre-filing reported, September 2026
Comparison: Within city, mileage and age bands

Platform specifics

Where the car is, and who vouches for it

These are the reasons a Spinny dataset needs its own handling rather than a shared retail schema.

City hubs

Spinny sells from hubs in a set of Indian cities, and a car is available from a particular city.

city and, where shown, hub recorded on every listing.
Cross-city transfer or delivery options recorded as terms where offered.
City coverage recorded and dated, since it changes.
Comparisons are within city unless a labelled national view is asked for.

Claims, and what we do not do

Inspection and quality claims

Spinny describes inspections, refurbishment and assurances on its cars. They are recorded as retailer_claims with claim_source: spinny, never as our assessment of condition.

Against Cars24

The comparable retailer is Cars24. Listings are compared within mileage and age bands, dealer and private kept apart, as on our mobile.de page.

What we do not do

Present retailer claims as our assessment, compare across cities unlabelled, collect customer data, or record disappearance as a sale.

Scope

What we collect on Spinny, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

city and hub on every listing
City coverage recorded and dated
Transfer and delivery options as terms
retailer_claims with claim_source: spinny
Fixed retailer prices as displayed
Finance terms as terms
Mileage, age and derived bands
Days on market from first observation
Price revisions dated

❌ What we do not, and why

Retailer claims presented as our assessment
Cross-city comparisons unlabelled
EMIs recorded as prices
Customer or seller data
Disappeared listings recorded as sales

Core Spinny fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
listing_id / make / model / variant	As published
year / kms / band	As published; band derived
price / currency	As displayed, INR
city / hub	As displayed
transfer_terms	Where offered
retailer_claims / claim_source	spinny
finance_terms	As displayed
owner_count	As published
first_seen / last_seen	Lifecycle
price_revisions	Dated
observed_at	Timestamp

Use cases

What teams do with Spinny data

City-level used car pricing

Retailer prices within city and band.

Inventory turn

Days on market by city.

Retailer positioning

Spinny beside Cars24.

Claim tracking

Which assurances the retailer attaches, attributed.

The 24-hour sample — run on your sources, not ours

Send us a Spinny item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Spinny is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Spinny data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what automotive data covers, and a Spinny-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Spinny data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Because Spinny's cars sit in city hubs. Availability and pricing are city-specific.

No. They are the retailer's claims, recorded as such.

A confidential IPO pre-filing was reported in September 2026. Nothing in how listings are recorded depends on it.

As terms.

No.

It depends on cities and frequency.

Talk to us.

See real Spinny data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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