Platform · Fanatical

Fanatical Data Scraping

Pick three for ten, or five for fifteen. That is a rule set, not a price.

Fanatical has been owned by the same media company since February 2021, after it acquired the retailer's parent, and it rebranded from its earlier name on 1 November 2017. It sells officially sourced keys as an authorised retailer, and its distinctive mechanic is the build-your-own bundle: a pool of eligible titles with tiered prices for picking a given number. The pool, the tiers and the eligibility rules are captured as structure. Every record carries its data basis — public page, official API, or licensed and therefore excluded — and nothing unpublished is modelled, so a figure a source does not publish comes back null with a reason.

The eligible pool changes during a promotion, so the pool is a timestamped snapshot, not a static list.

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fanatical_sample.jsonl LIVE FEED

{"bundle_id":"as published","promo_type":"byo_bundle","pick_count":5,"tier_price":14.99} {"eligible_pool":42,"pool_captured_at":"2026-09-23T09:00Z"} {"effective_unit_price":3.00,"derived":true}

illustrative sample rows · Globalrules, not a price · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Fanatical or its owners. Fanatical 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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Uber

E-Commerce

Tmall

Fanatical at a glance

How we handle Fanatical specifically

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

Owner: Same media company since February 2021
Rebrand: From its earlier name, 1 November 2017
Model: Authorised retailer
Mechanic: Build-your-own bundle tiers
Pool: Eligible titles, snapshotted
Star deals: Single steep discounts, dated
Charity bundles: Partners named where published
Refresh: Daily, hourly during sales

Platform specifics

Pools, tiers and rules

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

Bundle structure

Two shoppers can pay different amounts for the same title from the same promotion, which is why the rule set matters more than any single price.

bundle_id with pick_count and tier_price.
eligible_pool as a timestamped snapshot.
effective_unit_price only as a clearly derived field.
promo_type — byo_bundle, star_deal, charity, standard.

Charity bundles, and what we do not do

Charity bundles

Where a promotion names a charity partner and a proceeds share, both are recorded as published rather than summarised. See our Humble Store page.

Data basis

Prices stay attached to their storefront, region and currency, and a historical low is only ever computed from our own observation archive, as the gaming and sports hub describes.

What we do not do

Publish a per-title price as if it were listed, buy a bundle, use an account, or treat a changing pool as a fixed list.

Scope

What we collect on Fanatical, 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

Bundle rules captured as structure
Pick count and tier price stored
Eligible pool snapshotted with time
Derived unit prices labelled derived
Promotion type on every record
Charity details as published
Currency and country on every price
Historical low from our own archive
Daily refresh

❌ What we do not, and why

Derived prices shown as listed
Purchases
Accounts
Static treatment of changing pools
Unsourced charity claims

Core Fanatical fields

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

Field	What it is on this platform
bundle_id / promo_type	Structure
pick_count / tier_price	Bundle rules
eligible_pool / pool_captured_at	Snapshot
product_id / title	Listings
publisher	As listed
currency / country_code	Price context
base_price / current_price	Local currency
effective_unit_price	Derived, labelled
charity_partner / share	Where published
historical_low	From our archive
data_basis / observed_at	Per record

Use cases

What teams do with Fanatical data

Bundle economics

Tier entry points and pool size.

Promotion tracking

Deal cadence and depth.

Catalogue overlap

Pools against other stores.

Launch monitoring

New keys at release.

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

Send us a Fanatical 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.

Fanatical is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Fanatical 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 gaming & sports data covers, and a Fanatical-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

Fanatical data scraping: frequently asked questions

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

Only as a clearly derived field from the tier rules.

Often, so it is stored as a timestamped snapshot.

No. It sells officially sourced keys as a retailer.

No.

Daily, and hourly during major sales.

It depends on bundles, titles and refresh.

Talk to us.

See real Fanatical 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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