Platform · Aggregator and bundling platforms

Streaming Aggregator and Bundle Data

A service bought through another service is still the first service's catalogue, at the second one's price.

Aggregator and bundling platform data covers places where streaming services are sold or surfaced by someone else: add-on channels inside larger services, device platforms, telecom and cable bundles, and where-to-watch guides. Bundles change often — Comcast added Disney+, Hulu and HBO Max options to its StreamSaver bundles in April 2026. So each offer records the seller, the components and the bundle price, never adding component prices together as a discount claim. Every record carries its country, no account, stream or geo-restriction workaround is ever used, and viewership is never collected because no platform publishes it.

A bundle saving is the seller's claim. The component prices are the evidence, recorded side by side.

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bundles_sample.jsonl LIVE FEED

{"seller":"cable provider","component_services":"three services, ad tiers","bundle_price":18} {"savings_claim":"as stated by seller","verified":false} {"guide_source":"where-to-watch guide","role":"secondary"}

illustrative sample rows · per countrywhose catalogue, whose price · schema v1.0

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

Our Data Powers

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amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Aggregator and bundling platforms at a glance

How we handle Aggregator and bundling platforms specifically

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

Source: Channel stores, bundles and guides
Models: Add-on channels, device platforms, telco bundles
2026: Comcast StreamSaver expanded, Apr 2026
So: seller, components, bundle price
Savings: Seller's claims, attributed
Guides: Availability guides as secondary sources
Viewership: not_collected
Refresh: Daily

Platform specifics

Whose catalogue, whose price

These are the reasons a Aggregator and bundling platforms dataset needs its own handling rather than a shared retail schema.

Bundle records

The same service can be bought directly, as an add-on channel, or inside a bundle, with different ad and quality terms.

seller and component_services with each component's tier.
bundle_price, currency and effective_from.
savings_claim recorded as the seller states it.
guide_source for availability read from third-party guides, labelled secondary.

Guides, and what we do not do

Availability guides

Where-to-watch guides are useful for discovery, but availability is confirmed on the service itself. See our global streamer page.

Licensing windows

Titles are licensed per country and period, so arrivals, departures and returns are dated, as the OTT hub describes.

What we do not do

Present savings claims as facts, treat guides as primary sources, sign up for bundles, use accounts, or estimate viewership.

Scope

What we collect on Aggregator and bundling platforms, 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

Seller and components
Component tiers
Bundle prices dated
Savings claims attributed
Guides labelled secondary
Availability confirmed on the service
Country on every record
Bundle changes as events
Daily refresh

❌ What we do not, and why

Savings claims as facts
Guides as primary sources
Sign-ups
Accounts
Viewership estimates

Core Aggregator and bundling platforms fields

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

Field	What it is on this platform
seller / country	Mandatory
offer_type	channel, bundle, device platform
component_services / tier	As published
bundle_price / currency	As published
effective_from	Date
savings_claim	Seller's
ad_supported	Per component
guide_source	Secondary
bundle_event	Dated
observed_at	Timestamp
viewership	not_collected

Use cases

What teams do with Aggregator and bundling platforms data

Bundle benchmarking

Prices and components by country.

Distribution strategy

Where services are sold.

Channel store tracking

Add-on channels over time.

Availability discovery

Guides, confirmed at source.

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

Send us a Aggregator and bundling platforms 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.

Aggregator and bundling platforms is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Aggregator and bundling platforms 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 ott & entertainment data covers, and a Aggregator and bundling platforms-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

Aggregator and bundling platforms data scraping: frequently asked questions

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

By seller, components and bundle price, with component tiers.

They are the seller's claims, attributed.

As secondary sources, confirmed on the service.

Never.

It depends on sellers and countries.

Talk to us.

See real Aggregator and bundling platforms 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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