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Service · Gaming & sports

Gaming & Sports Data Scraping Services

— store pricing, player signals and public statistics.

Gaming and sports data services cover managed collection of game store pricing across storefronts and regional tiers, publicly reported player and viewership metrics, esports tournament information, and publicly published sports schedules and results — with licensed league feeds excluded by design.

Game pricing moves hourly across a dozen storefronts and thirty-one regions. Licensed sports feeds, meanwhile, are not obtainable by extraction, and we say so before you contract rather than after.

Free pilot on your own sources, returned in 48 hours. No card, no trial clock — and you keep the sample data either way.

Multi-platform, multi-region pricing Public sources and official APIs Free pilot sample in 48 hours
game_store_prices_2026-08-05.jsonl LIVE FEED
{"title":"Elden Ring: Shadow of the Erdtree", "publisher":"Bandai Namco", "store":"steam","region":"US", "edition":"deluxe", "base_price":79.99,"current_price":47.99, "discount_pct":40,"currency":"USD", "sale_name":"Summer Sale 2026", "sale_ends":"2026-08-11T17:00Z", "historical_low":true, "concurrent_players_24h_peak":118402, "review_pct_positive":91} {"tournament":"Regional Masters 2026", "game":"Counter-Strike 2", "prize_pool_usd":1250000, "teams":16,"format":"double_elim"}
2 of 322,600 title-region rows · run 2026-08-05T08:00Zregional coverage 31 markets · schema v3.2
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Key facts at a glance

What it is
Game store pricing and discounting, public player and viewership counts, esports tournament data, public sports statistics
Store coverage
Steam, Epic, PlayStation Store, Xbox, Nintendo eShop, GOG, Humble and mobile app stores
Regional pricing
31 storefront regions with currency and regional-pricing tier captured
Player signals
Publicly reported concurrent player counts, review volumes and rating percentages
Esports data
Tournament structures, prize pools, team rosters and results from public sources
Sports data
Publicly published schedules, standings and statistics only — no licensed feed content
Refresh options
Hourly during sale events; daily standard; near real-time for player counts
Who it's for
Game publishers, platform pricing teams, esports organisations, gaming investors, media analysts
31storefront regionspricing tiers captured
8+digital storefrontscross-platform
Hourlysale-event refreshdiscount capture
Public onlysports data boundaryno licensed feeds

Key takeaways

  • What it is: Game store pricing and discounting, public player and viewership counts, esports tournament data, public sports statistics
  • Store coverage: Steam, Epic, PlayStation Store, Xbox, Nintendo eShop, GOG, Humble and mobile app stores
  • Regional pricing: 31 storefront regions with currency and regional-pricing tier captured
  • Player signals: Publicly reported concurrent player counts, review volumes and rating percentages
  • Esports data: Tournament structures, prize pools, team rosters and results from public sources
  • Sports data: Publicly published schedules, standings and statistics only — no licensed feed content

Last verified 5 August 2026 by the Actowiz Solutions Data Engineering team.

Definition

What is gaming and sports data, and where are the licensing boundaries?

Gaming data covers the commercial layer of interactive entertainment: title pricing and discounting across digital storefronts and regions, edition and bundle structures, publicly reported player counts and review metrics, and esports tournament information including prize pools, formats and results.

Sports data is a more constrained category, and it is important to be precise about why. Detailed live sports statistics — play-by-play, real-time scoring, advanced player metrics — are typically licensed products controlled by leagues and their official data partners. That content is not available through extraction, and any vendor offering it via scraping is selling you a rights problem.

What we do and don't supply on sports

  • We do supply: publicly published schedules and fixtures, final results and standings as published on public pages, historical statistics available in the public domain, and public-facing information about teams, venues and competitions.
  • We do not supply: licensed live data feeds, real-time in-play statistics, official league data products, or anything requiring a data-rights agreement we do not hold.

If your use case requires licensed sports data, the correct route is a licence from the league or its official partner. We can help with the surrounding public data — team and venue information, media coverage, ticketing and merchandise pricing, esports content — but we will not pretend that licensed feeds are obtainable by extraction. That distinction protects you as much as us.

Why game pricing is unusually complex

A single title exists at different prices across eight or more storefronts, in 31 regional pricing tiers, in multiple editions, in bundles, with region-locked keys, and with discount cycles that run hourly during major sale events. Regional pricing is set deliberately by publishers and shifts with currency movements. Manual tracking is simply not viable, and this is where the bulk of our gaming volume sits.

What we extract

Six gaming and sports data categories

Gaming pricing is the deepest dataset here. Sports coverage is deliberately scoped to public sources.

Game store pricing

Cross-platform, cross-region pricing with edition structure preserved.

  • Base and current price by store and region
  • Edition and bundle structure
  • Discount depth and sale event names
  • Historical low detection

Player & engagement signals

Publicly reported activity metrics.

  • Concurrent player counts where public
  • Review volume and rating percentage
  • Wishlist and follower counts where shown
  • Player-count trend over time

Esports tournaments

Competitive structures and economics from public sources.

  • Tournament format and stage structure
  • Prize pool and distribution
  • Participating teams and rosters
  • Results and placements

Streaming & creator metrics

The media layer around both gaming and sports.

  • Public viewership figures by title
  • Creator and channel metrics
  • Category ranking over time
  • Public clip and VOD metadata

Public sports information

Publicly published sports data only.

  • Schedules, fixtures and venues
  • Final results and standings
  • Public historical statistics
  • Team and competition profiles

Tickets & merchandise

The commercial layer around sports and esports events.

  • Public ticket pricing and tiers
  • Availability and resale listings
  • Team merchandise pricing
  • Event and venue capacity data
Service scope

What the gaming and sports data service includes

Deep coverage on gaming commerce; deliberately limited, clearly labelled coverage on sports.

✓ Included in every engagement

  • Cross-storefront pricing across 31 regional tiers with edition structure
  • Sale event attribution and historical-low detection from our archive
  • Esports tournament structures, prize pools and results from public sources
  • A data_basis field on every record making provenance explicit
  • Source discovery, scoping and a written collection plan
  • Free pilot on your own sources before any commitment
  • Full pipeline build, hosting and proxy infrastructure
  • Schema design, validation and sampled human QA on every run
  • Ongoing maintenance when source layouts change — our cost, not yours
  • Delivery to your warehouse, bucket, SFTP or API endpoint
  • Documented methodology and compliance notes for your legal review

× Not included — stated upfront

  • Licensed live sports feeds, play-by-play and official league data products
  • Modelled mobile revenue or player estimates presented as observed data
  • In-app purchase revenue, which is private to publisher and platform
  • Anything behind a login, paywall or credentialed session
  • Personal data beyond a documented lawful basis
  • Licensed third-party datasets we do not hold rights to
  • Guarantees about fields a source simply does not publish
Schema

Gaming and sports data fields you receive

Every engagement delivers a documented schema. These are the core fields; the full dictionary is agreed during scoping.

Deliverable schema — gaming and sports v3.2 — core fields shown; full dictionary has 80+ fields
Field Type What it captures Refresh
title / publisher / developer string Game title with publisher and developer attribution Weekly
store / region / currency enum Storefront, regional pricing tier and local currency Every run
edition string Standard, deluxe, ultimate, bundle or season pass as listed Weekly
base_price / current_price decimal List price and current price in local currency Hourly to daily
discount_pct / sale_name decimal / string Discount depth and the named sale event driving it Hourly to daily
historical_low boolean Whether the current price matches or beats the observed historical low Every run
concurrent_players int Publicly reported concurrent player count with capture timestamp Near real time
review_count / review_pct int / decimal Public review volume and positive rating percentage Daily
tournament / prize_pool_usd string / decimal Esports tournament name and prize pool from public sources Weekly
fixture_date / venue timestamp / string Publicly published sports fixture timing and venue Daily
data_basis enum public_page, official_api or licensed_excluded, so provenance is explicit Every run

The data_basis field makes provenance explicit on every record. Where a field would require licensed data we mark it licensed_excluded rather than sourcing it improperly.

Coverage

Storefronts, platforms and sources we cover

Gaming coverage is broad. Sports coverage is deliberately limited to publicly published information.

SteamEpic Games StorePlayStation StoreXbox StoreNintendo eShopGOGHumble StoreGreen Man GamingFanaticalApple App StoreGoogle PlayKey reseller marketplaces31 regional pricing tiersTwitch (public & API)YouTube Gaming (Data API)Public esports tournament sitesPublic team and roster pagesPublic league schedule pagesPublic standings pagesPublic ticketing platformsTeam merchandise storesGaming media and review sites

Licensed live sports data feeds are explicitly out of scope. For those, a league or official-partner licence is the only legitimate route, and we will say so rather than quote for it. Request a source we don't list →

Markets served

Countries and markets where this service is in highest demand

We deliver into 40+ countries. These are the markets where this particular service is requested most, and the reason demand concentrates there.

Highest-demand markets for this service, and why demand concentrates there
Market Why demand concentrates here
United States Largest storefront revenue base and the reference region for pricing decisions.
United Kingdom & Germany Key European pricing tiers with distinct discount behaviour.
Japan & South Korea Regionally exclusive titles and pricing structures not visible elsewhere.
Brazil, India & Turkey Aggressive purchasing-power pricing tiers, the main source of arbitrage risk.

North America

United StatesCanadaMexico

United Kingdom & Ireland

United KingdomIreland

Western Europe

GermanyFranceNetherlandsBelgiumSpainItalySwitzerlandAustria

Nordics

SwedenNorwayDenmarkFinland

Middle East

United Arab EmiratesSaudi ArabiaQatarKuwaitIsrael

Asia Pacific

SingaporeAustraliaNew ZealandJapanSouth KoreaMalaysiaIndonesiaThailandVietnamPhilippines

South Asia

IndiaBangladeshSri LankaPakistan

LATAM

BrazilArgentinaChileColombia

Africa

South AfricaNigeriaKenyaEgypt

We run production collection across 40+ countries. Coverage depth varies by market and by source, so we confirm what is actually available for your specific markets during scoping rather than claiming uniform global coverage. Ask about a market we don't list →

Who buys this data

Which teams buy gaming and sports data

Publisher pricing teams are the largest buyers, with esports organisations and investors following.

Pricing & Monetisation Lead

Game publishers
The problem

Regional pricing across 31 tiers and 8 storefronts drifts out of alignment as currencies move, and competitor discount timing is invisible until a sale is already running.

What we deliver

Cross-store, cross-region pricing refreshed hourly during sale events, with discount depth, sale attribution and historical-low detection per title.

Metric that moves

Revenue per unit

Portfolio & Competitive Analyst

Publishers and platforms
The problem

Assessing how competing titles price, discount and retain players requires data scattered across storefronts with no consistent structure.

What we deliver

Normalised competitor title pricing with edition structure, discount history and public player-count trend on one schema.

Metric that moves

Portfolio positioning

Esports Operations Lead

Esports organisations and leagues
The problem

Tournament landscape, prize pool trends and roster movements are tracked manually across dozens of public sources.

What we deliver

Structured tournament data covering formats, prize pools, participating teams and results, aggregated from public sources.

Metric that moves

Circuit planning accuracy

Investment Analyst

Gaming and media funds
The problem

Gaming theses need observable pricing, discounting and engagement data rather than publisher-reported figures alone.

What we deliver

Longitudinal title pricing, discount depth and public player-count panels by genre, platform and region for direct modelling.

Metric that moves

Signal quality

Media & Creator Strategy

Publishers and agencies
The problem

Understanding which titles drive streaming attention and which creators reach which audiences requires cross-platform metrics.

What we deliver

Public viewership and creator metrics by title and category over time, joined to game pricing and release events.

Metric that moves

Attention share

Ticketing & Merch Analyst

Sports and esports commercial teams
The problem

Ticket and merchandise pricing across primary and resale channels is opaque, making yield decisions hard to inform.

What we deliver

Public ticket pricing by tier with availability, plus merchandise pricing across official and third-party channels.

Metric that moves

Yield per seat

Use cases

How gaming and sports data gets used

Four patterns, with measured outcomes.

Regional pricing alignment for publishers

Pricing is tracked across every storefront and regional tier, so drift caused by currency movement or inconsistent storefront implementation becomes visible. Because edition and bundle structure is captured separately, cross-region comparison reflects equivalent products.

Outcome: Regional price architecture corrected before arbitrage and key-reselling pressure builds.

Competitive discount and sale-event analysis

Hourly refresh during major sale events captures competitor discount depth, timing and sale attribution, plus whether a price represents a historical low. Discount patterns repeat across sale cycles and become predictable once tracked.

Outcome: Sale participation and discount depth planned against observed competitor behaviour rather than guessed.

Esports landscape and prize-pool tracking

Tournament data from public sources is structured into a consistent schema covering format, prize pool, participating teams and results, allowing circuit-level trend analysis across games and regions.

Outcome: Circuit and sponsorship planning informed by structured tournament economics rather than manual research.

Engagement and pricing correlation for investors

Public player-count trends are joined to pricing and discount history by title, showing how discount events affect concurrent player retention and how that decays after a sale ends.

Outcome: Investment theses tested against observable engagement and pricing data rather than publisher commentary.

Engagement examples

Two engagements, anonymised

Clients rarely permit naming. These are real engagement shapes with identifying detail removed, so you can judge whether the work resembles your situation.

Game publisher · Multi-region

Regional pricing had drifted far enough to invite key reselling

Situation

Regional prices set at launch had not been revisited as exchange rates moved, and grey-market key trading was eroding revenue in higher-priced markets.

What we ran

Daily pricing across eight storefronts and 31 regional tiers with edition structure preserved, plus drift monitoring against a reference market.

Result

Mispriced regions were identified and corrected before the arbitrage gap widened further.

Media analytics firm · US

A sports data build turned out to rest on licensed content

Situation

An existing pipeline collected detailed statistics from public pages that were, in fact, licensed league data displayed under someone else's agreement.

What we ran

Rebuild scoped strictly to publicly published schedules, results and standings, with a data_basis field on every record and licensed fields excluded by design.

Result

The pipeline was made defensible; licensed requirements were routed to a proper league licence.

Examples are anonymised at client request. Named references are available on request under NDA. See published case studies →

The 48-hour sample — run on your sources, not ours

Before you commit to anything, we run this service against your own sources and send you the output. If the coverage isn't there, the sample will show you that too — which is the point. We would rather lose the deal at the pilot than at month three.

  • Real extraction from your actual sources
  • Returned inside two business days
  • 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 for this work

Same collection pipeline and same 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.

Build vs buy

Should you build gaming data collection in-house or hire it as a service?

Regional dimensionality makes this expensive to build, and sports licensing makes part of it impossible.

In-house build vs self-serve tool vs Actowiz managed service
Consideration In-house scraping team Generic proxy / DIY tool Actowiz managed feed
Time to first usable data 6–12 weeks of engineering before anything is trustworthy Days, but output needs manual cleanup before use Free pilot in 48 hours, production in 5–10 business days
Who fixes it when a source changes Your engineers, at the cost of their roadmap You do — tools report failures, they don't resolve them We do, same business day, inside the retainer
Data quality assurance Whatever your team has time to build None beyond HTTP success Schema validation plus sampled human QA on every run
Compliance documentation Rarely produced, then requested urgently by legal Not provided; terms risk sits with you Sources, method and lawful basis documented for review
Accountability Distributed across a team with other priorities A support ticket queue A named engineer and an account owner
True annual cost Engineer salaries, proxies, hosting, ongoing maintenance Low licence fee plus significant hidden analyst time One fixed monthly retainer, quoted after scoping

Why regional game pricing is a dataset in its own right

Game publishers set regional prices deliberately, adjusting for purchasing power across markets. That creates a pricing surface with real commercial consequences, and it is one of the least well monitored datasets in the industry.

What goes wrong without systematic tracking

  • Currency drift. A regional price set two years ago at a sensible relative level can become substantially mispriced as exchange rates move. Publishers frequently discover this only when key resellers start arbitraging it.
  • Inconsistent storefront implementation. The same title can carry different regional prices across Steam, Epic and console stores because each has its own tier system and update cadence.
  • Edition and bundle divergence. A deluxe edition priced consistently in one region and inconsistently in another creates confusing value propositions that suppress conversion.
  • Key-reselling pressure. Large regional gaps drive grey-market key trading, which erodes revenue in higher-priced markets. The gap is measurable well before the reselling becomes visible.

How we structure it

Every record carries store, region, currency and edition as separate dimensions, plus base price and current price. This allows the analysis publishers actually need: relative pricing across regions for the same edition, drift over time against a reference market, and identification of gaps wide enough to invite arbitrage.

Because we capture base price separately from current price, discount activity is distinguishable from structural repricing — a distinction that gets lost when a managed service reports only the price currently displayed.

The sports data licensing boundary, and what we do instead

Sports data is the one area where we routinely decline requests, and it is worth explaining the reasoning rather than simply refusing.

Detailed sports statistics — play-by-play, real-time scoring, advanced player metrics, official league data — are licensed products. Leagues grant exclusive or tiered rights to official data partners, who invest heavily in collection and pay for those rights. That content appearing on a public webpage does not make it freely extractable; it makes it licensed content displayed under a licence you do not hold.

Why this matters to you, not just to us

  • Rights holders enforce actively. Sports data rights are litigated more than most content categories, and the exposure attaches to the party using the data commercially.
  • Products built on improperly sourced feeds are fragile. When access is cut, your product breaks with no remedy and no alternative supply.
  • Your own commercial partners will ask. Any serious sports-adjacent business will eventually be asked to evidence its data rights, and that is a poor moment to discover the answer.

What we can help with

  • Publicly published schedules, results and standings as they appear on public pages.
  • Public historical statistics in the public domain.
  • Team, venue and competition information published publicly.
  • Commercial surrounding data: ticket pricing, merchandise pricing, sponsorship visibility, media coverage via news data.
  • Esports data, where public tournament information is generally far more accessible than traditional sports data.

If you need licensed sports data, we will tell you to go to the league or its official partner. That is not us declining business we could win — it is us declining to sell you something that will cause you a problem later.

How it works

How a gaming and sports engagement goes live in 5 to 10 business days

Title lists, storefronts and regions are scoped first, with any licensing constraints on sports data flagged before contracting.

Scope the sources and fields

You send us target sites, regions, SKUs or keywords. We return a field-level schema proposal, coverage estimate and refresh recommendation — usually within two working days.

Pilot sample, free

We extract a real sample from your actual targets so you can inspect field fill rates, edge cases and match quality before any commitment.

Production build and QA harness

Our engineers build extractors, then wire validation rules: type checks, range checks, duplicate detection and golden-record comparison against a manually verified subset.

Scheduled delivery into your stack

Feeds run at your chosen cadence and land in the warehouse or bucket you already use. Schema changes are versioned and announced before they ship.

Ongoing monitoring and SLA support

We watch coverage drift, fill rates and source changes daily. A named engineer owns your account, and layout breaks are fixed by us — not queued for you.

Formats & destinations

JSON, JSONL, CSV, Parquet or XLSX, delivered to Amazon S3, Google Cloud Storage, Azure Blob, SFTP, Snowflake, BigQuery, Databricks or a REST/GraphQL endpoint. Webhooks fire on completion, and every batch ships with a manifest containing row counts, schema version and QA results so your pipeline can fail loudly instead of silently ingesting a bad file.

Compliance & data ethics

We collect from public storefront pages, official platform APIs where available, and publicly published sports and esports information. Licensed sports data feeds and official league data products are excluded by design, and every record carries a data_basis field making provenance explicit. Where a request would require licensed content, we say so rather than sourcing it improperly.

Service commitments

What we commit to, in writing

These are contractual, not marketing copy. They appear in the engagement document.

Service level commitments written into every managed engagement
Commitment What we hold ourselves to
Pilot turnaround A real sample from your own sources within 48 hours of scoping, at no cost.
Go-live Production collection running within 5–10 business days of sign-off.
Delivery punctuality 99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation A named engineer and an account owner, not a shared ticket queue.
Change requests Field additions and source changes handled inside the retainer, not re-quoted.
Exit Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

  • Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
  • We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
  • QA is part of the service. Schema validation and sampled human review run before delivery, every run.
  • Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
  • Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
  • Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.
Definitions

Terms used on this page

Plain definitions of the terms used on this page, so procurement and legal reviewers are working from the same vocabulary as your data team.

Regional pricing tier
The price band a storefront applies to a given country, set deliberately by publishers to reflect purchasing power. Wide gaps between tiers create grey-market key reselling pressure.
Historical low
The lowest price we have observed for a specific title, store, region and edition combination. It is bounded by when our collection began, which we report rather than implying all-time coverage.
Licensed sports data
Detailed statistics and live scoring controlled by leagues and their official data partners. It is not obtainable by extraction, and we exclude it by design rather than sourcing it improperly.
FAQ

Gaming and sports data: frequently asked questions

Including the licensing questions that matter most.

No. Live scoring, play-by-play and advanced player statistics are licensed products controlled by leagues and their official data partners. Extraction is not a legitimate route to them, and any vendor offering them via scraping is selling you a rights problem that will surface at the worst possible moment.

What we can provide is publicly published schedules, final results, standings, public historical statistics and team and venue information. For licensed feeds, a licence from the league or its official partner is the only legitimate path, and we'll point you there rather than quote for it.

31 storefront regions across the major digital stores, with currency and regional tier captured per record. Coverage varies slightly by store since each operates its own regional system with different granularity.

Regional pricing is where most publishers get the most value from this service. It is the dimension least visible internally — particularly across console stores, where regional implementations diverge from PC storefronts more than teams expect.

Where publicly reported, yes. Some platforms publish concurrent player counts openly, and we capture them with timestamps and trend them over time. Review volumes and rating percentages are also captured as engagement proxies.

We do not estimate or model player counts where they aren't published. Modelled engagement figures circulate widely in gaming analysis and are frequently wrong by large margins; we would rather deliver a null with a clear reason than a number that looks authoritative and isn't.

Baseline pricing is stable for months. Discount activity is intense and bursty: major seasonal sales bring hourly changes across thousands of titles, with flash discounts lasting hours.

We recommend daily refresh as standard with an hourly tier during major sale windows. Missing a 12-hour flash discount means it is absent from your data permanently, and during sale events that's where most of the pricing behaviour actually happens.

Considerably more than traditional sports, because the esports ecosystem publishes far more openly. Tournament formats and stage structures, prize pools and distribution, participating teams and rosters, results and placements, and event schedules are all generally available from public sources.

Coverage is strongest for major circuits in established titles and thinner for regional and emerging scenes, where publication is inconsistent. We give you an honest per-circuit assessment during scoping rather than a general claim.

Public viewership figures by title and category, yes, using official platform APIs where available and public category pages otherwise. Creator and channel metrics are captured where publicly displayed.

Platform access terms here change frequently, and we document current limits per platform. As with our social media data feed, we don't use credentialed access or scrape authenticated views to obtain metrics that aren't public.

Yes, computed from our own price observation archive. The historical_low flag indicates whether the current price matches or beats the lowest price we have observed for that title, store, region and edition combination.

The honest caveat: our archive starts when we began collecting. A title discounted more deeply before that point would not be reflected. We report the archive start date per title so you know what the flag is actually measuring rather than assuming it covers all time.

App store pricing and listed in-app purchase tiers, yes, across Apple App Store and Google Play with regional pricing captured. Store listing metadata, ratings and review counts are also available.

What we cannot provide is actual in-app purchase revenue or conversion data, which is private to the publisher and the platform. Third-party estimates of mobile revenue exist and are widely cited; they are modelled rather than observed, and we don't resell them as though they were measurements.

We quote every gaming and sports data engagement individually, because a real number depends on scope: source count, record volume, refresh frequency and delivery method. Anyone quoting you a price before understanding those four things is guessing.

Title count, storefront and region coverage and refresh frequency drive cost; the hourly sale-event tier costs more because polling during major sales is heavy.

The process is short: one scoping call, a free pilot on your own sources within 48 hours, then a fixed monthly quote. No per-request metering, no overage billing, and field or source additions are handled inside the retainer rather than re-quoted. Request a quote.

Test the service on your own title list

Send us the titles, storefronts and regions you track. We return real cross-region pricing with edition structure and discount history within 48 hours, at no cost.

Free pilot, no obligation, no card. You'll have a fixed monthly quote after one scoping call.
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200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
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9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
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380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
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We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

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Amazon
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Zillow
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Booking.com
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Indeed
Jobs
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Latest Insights & Resources

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Blog

EU AI Act for Data Teams: What Scrapers Must Change in 2026

The EU AI Act impact on web scraping & AI training data GPAI transparency, copyright reservations, prohibited practices & a compliance checklist from Actowiz.

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Case Study

B2B Supplier Automates Government Tender Discovery from GeM & eProcure

How a B2B supplier replaced manual tender-portal checking with an automated, filtered feed of relevant government tenders from GeM and CPP/eProcure never missing a bid deadline again.

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Report

FIFA World Cup 2026 Aftermath: Hotel & Airfare Normalization in Host Cities (Data Study)

Actowiz Solutions tracks post–World Cup 2026 travel pricing — hotel ADR & airfare normalization across host cities, event-premium decay data & lessons for travel teams.

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Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

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Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
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Transparent plans from $500/mo. Find the right fit for your budget and scale.
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Tell us what data you need — we'll scope it for free and share a sample within hours.
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    Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
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    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
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Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

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Free 500-row sample · No credit card · Response within 2 hours