Scalable web, app and AI-powered collection across 40+ countries.
All services →Repricing driven by competitor moves rather than a weekly review.
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For RetailersWhich solution fits?
Talk to ExpertTalabat, Careem Quik and Noon Minutes across 18 GCC cities.
Launch Demo →Tesco, Sainsbury's, Asda, Morrisons and Aldi, daily.
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E-Commerce Dashboard
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Quick Commerce (India) HOT
Food & Restaurant
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Automotive
Travel & Hospitality
Real Estate
Food Delivery Intelligence NEW
OTT & Streaming NEW
By Use Case
Pricing Intelligence
Digital Shelf Analytics
MAP Monitoring HOT
Cross-Border Price Parity NEW
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Review Sentiment
Kitchen Market Gaps NEW
Dynamic Pricing / AI Repricing NEW
Promotions & Deals Alerts NEW
B2B / POI & Lead Data NEW
By Region
Flipkart Real-Time Insights
Quick Commerce — Zepto · Blinkit
Pincode Price Tracker
GCC Q-Commerce — Talabat · Noon NEW
UK Grocery — Tesco, Sainsbury's, Asda
AU Grocery — Coles & Woolworths NEW
Sources we already run pipelines against. Download a real sample from any of them.
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Delivery & SDKsFixed monthly retainer, named engineer, no per-request metering.
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Trust & Company
Scalable web, app and AI-powered collection across 40+ countries.
All 58 services →Repricing driven by competitor moves rather than a weekly review.
Explore → Pricing & Promotions
Brand & Intelligence
Digital Shelf & Search
Assortment For RetailersWhich solution fits?
Talk to ExpertSources we already run pipelines against. Download a real sample from any of them.
Browse coverage →Talabat, Careem Quik and Noon Minutes across 18 GCC cities.
Launch Demo →Tesco, Sainsbury's, Asda, Morrisons and Aldi, daily.
Get Early Access → E-Commerce Dashboard
Flipkart Insights (Live) #1
Grocery Intelligence
Grocery Price (U.S.)
Quick Commerce (India) HOT
Food & Restaurant
Fashion Intelligence
Automotive
Travel & Hospitality
Real Estate
Food Delivery Intelligence NEW
OTT & Streaming NEW
By Use Case
Pricing Intelligence
Digital Shelf Analytics
MAP Monitoring HOT
Cross-Border Price Parity NEW
Share of Search
Review Sentiment
Kitchen Market Gaps NEW
Dynamic Pricing / AI Repricing NEW
Promotions & Deals Alerts NEW
B2B / POI & Lead Data NEW
By Region Flipkart Real-Time Insights
Quick Commerce — Zepto · Blinkit
Pincode Price Tracker
GCC Q-Commerce — Talabat · Noon NEW
UK Grocery — Tesco, Sainsbury's, Asda
AU Grocery — Coles & Woolworths NEW
Marketplace Scrapers
Developer APIs Universal APIs Delivery & SDKsFixed monthly retainer, named engineer, no per-request metering.
Managed Data API → Knowledge Center
Guides & Playbooks
Downloads & Tools
Trust & CompanyThis is the region where the geographic question is hardest and least discussed, because there is no off-the-shelf unit to fall back on.
This is the region where the geographic question is hardest and least discussed, because there is no off-the-shelf unit to fall back on.
Free pilot on your own sources, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.
Last verified 5 August 2026 by the Actowiz Solutions Data Engineering team.
In India you can say "pincode 400050" and everyone means the same area. In Germany you can say "10117". In the Gulf there is no equivalent that a delivery dataset can use.
If a vendor gives you GCC data "by area", the first question is whose areas. If the answer is a platform's own zones, your cross-platform comparison is already broken, because each platform's zones are different shapes.
We define zones ourselves from observation points with coordinates, group them by catchment character, and
issue the definitions as a document before quoting. Every record carries zone_id and the zone definition
is auditable.
maps_to_official_boundary is false on every GCC zone, stated rather than implied. A zone that
claims to be an official area when no such area exists is a fiction that will eventually be discovered by someone
trying to join it to census data.
Only the last one overlaps with how coverage works elsewhere.
Because there is nothing to inherit.
Not a season, and the dates move.
The schedule is a design decision.
A GCC average describes none of them.
An assortment difference, not an income one.
Summer changes behaviour, not just volume.
A managed engagement, not a tool licence. We own the pipeline and everything that breaks in it.
The geographic and temporal fields. Product fields are on the platform pages.
| Field | Type | What it captures | Refresh |
|---|---|---|---|
market |
string | AE, SA, QA, KW, OM or BH. Never pooled | Every record |
city |
string | The city the zone belongs to | Every record |
zone_id / zone_label |
string | Our zone, with a human-readable label | Every record |
definition_basis |
string | How this zone was defined | Per zone document |
maps_to_official_boundary |
constant | Always false in the GCC. Stated, not implied | Every record |
catchment_character |
string | Expat-dense, national family, mixed, commercial | Every record |
serviceable |
boolean | Whether the platform delivers to this zone at all | Every record |
observed_at |
timestamp | With the local offset retained | Every record |
daypart |
string | Derived from the local observation time | Every record |
likely_prayer_window |
boolean | Derived and labelled as derived, never a stated cause | Every record |
ramadan_period / days_from_ramadan_start |
boolean / number | For phase-aligned comparison | Every record |
days_from_ramadan_start exists because the dates move roughly eleven days each year. A year-over-year comparison aligned on calendar date compares Ramadan to a normal week, which is not a comparison at all.
Everywhere delivery is involved, and a few places it is not.
Cross-market GCC price gap analysis is the one clients most often expect to be simple and is not. The same brand at the same retailer prices differently in Dubai and Riyadh for reasons including import route, local competition and VAT treatment, and a regional average smooths away exactly the thing being asked about. Request a source we don't list →
We deliver into 40+ countries. These are the markets where this particular service is requested most, and the reason demand concentrates there.
| Market | Why demand concentrates here |
|---|
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 →
Mostly people running a Gulf programme who have inherited a geography they cannot explain.
Runs six markets and is asked for one GCC number.
Market on every record with a rollup computed on request, detail retained.
Market-level accuracy
Needs to know whether a Dubai price is comparable to a Riyadh one.
Per-market records with FX where currencies differ, never pooled.
Comparison validity
Ramadan is the single largest commercial period and the dates move.
Phase-aligned fields, and a baseline collected before the period starts.
Campaign measurement
Zone-level assortment differs by catchment character.
Panels stratified across expat and national zones rather than weighted to one.
Assortment relevance
Has to defend a geography they did not design.
Zone definitions issued as a document, auditable rather than asserted.
Defensible basis
Wants to join platform data to other regional datasets.
The honest answer that GCC zones do not map to official boundaries.
Join realism
And one thing it deliberately does not.
Per-market records with FX where currencies differ, so a Dubai-versus-Riyadh gap is measured rather than smoothed into a regional average that answers nothing.
Outcome: The comparison clients actually want, on a valid basis.
days_from_ramadan_start on every record so year-over-year compares equivalent phases, since aligning on calendar date compares Ramadan to a normal week.
Outcome: A year-over-year read that means something.
Zones stratified across expat-dense and national-family character, which differ in what they buy rather than only in what they spend.
Outcome: Range decisions on the right segmentation.
A join to census or administrative data. GCC zones are ours and do not map to official boundaries — stated on every record rather than discovered later by an analyst.
Outcome: An honest limit, declared upfront.
Clients rarely permit naming. These are real engagement shapes with identifying detail removed, so you can judge whether the work resembles your situation.
Examples are anonymised at client request. Named references are available on request under NDA. See published case studies →
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.
Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.
We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.
Best fit: Teams who need the data, not the infrastructure.
The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.
Best fit: Product and engineering teams building on live data.
A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.
Best fit: Research, strategy and diligence work with a deadline.
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.
This is the question to ask any Gulf data vendor, and the answers differ more than you would expect.
| 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 24 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 |
Ramadan is the largest commercial period in the Gulf calendar, and it is the one most likely to be measured wrongly.
Ramadan shifts roughly eleven days earlier each year against the Gregorian calendar. A year-over-year comparison aligned on calendar date will, within a few years, be comparing Ramadan to an ordinary week. That is not a weak comparison; it is not a comparison.
Every record carries ramadan_period and days_from_ramadan_start so a series can be
analysed by phase.
Ordering concentrates around iftar and suhoor. Daytime demand collapses and late-night demand rises. Promotional intensity climbs sharply. Assortment shifts — dates, dairy, staples and gifting categories move differently from the rest of the year.
Pooling Ramadan with the surrounding months produces averages describing neither period.
The baseline has to be collected before the period starts. A Ramadan analysis commissioned during Ramadan has no baseline, and one reconstructed afterwards is a comparison against a period nobody observed.
If Ramadan matters to your year, the collection needs to be running by the preceding month. That is a scheduling fact rather than a commercial one, and we would rather say it early than take the engagement and explain later.
Gulf panels are frequently stratified by income proxy — affluent, mid, value. In this region that misses the more useful distinction.
Expat-dense zones and national-family zones differ in what they buy, not simply in how much they spend.
We record catchment_character per zone and stratify panels across both rather than weighting toward
whichever is easier to observe. Which matters more depends entirely on your category, and it is worth deciding
deliberately at panel design rather than discovering it in the results.
Catchment character describes a delivery area's commercial profile, drawn from what is sold and offered there. It is not demographic data about individuals, and we do not collect any. It is a label on a zone, not a claim about people.
The zone definitions come before the quote, because they are the thing you are buying.
Six markets is rarely the right scope. Most programmes are two or three, and which ones changes the design.
With observation points, catchment character and the explicit statement that they do not map to official boundaries.
Real extraction so you see assortment and price variation across catchment characters rather than a description of it.
This is a real decision in the Gulf. Prayer-time closures and Ramadan phases both argue for multi-daypart sampling rather than a fixed hour.
A Ramadan analysis needs a baseline from the preceding period. Commissioning during Ramadan means there is nothing to compare against.
Geographic and temporal fields travel with the product data in whatever format is agreed. The zone definition document is supplied before quoting.
Zone definitions describe delivery areas, not individuals. Catchment character is a commercial label on a zone drawn from what is sold there, not demographic data about people. We collect no personal data in any market.
These are contractual, not marketing copy. They appear in the engagement document.
| Commitment | What we hold ourselves to |
|---|---|
| Pilot turnaround | A real sample from your own sources within 24 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. |
Plain definitions of the terms used on this page, so procurement and legal reviewers are working from the same vocabulary as your data team.
Starting with the question most vendors are not asked.
Ours, and they are documented. There is no pincode equivalent in the Gulf — addressing is landmark and GPS based, and every platform defines its own delivery zones which do not align with each other.
If a vendor gives you GCC data 'by area', ask whose areas. If the answer is a platform's own zones, your cross-platform comparison is already broken because each platform's zones are different shapes.
No, and we state that on every record rather than leaving it to be discovered. maps_to_official_boundary is false throughout.
A zone claiming to be an official area where no such area exists is a fiction that will eventually be found by someone trying to join it to demographic data.
Because the six markets differ in assortment, pricing, promotional calendar and currency. The same brand at the same retailer prices differently in Dubai and Riyadh for reasons including import route, local competition and VAT treatment.
A regional average smooths away exactly the thing most clients are asking about. We compute rollups on request with the market detail retained underneath.
As a phase, with days_from_ramadan_start on every record. The dates move roughly eleven days earlier each year, so a year-over-year comparison aligned on calendar date will within a few years be comparing Ramadan to an ordinary week.
The part clients most often get wrong: the baseline has to be collected before the period starts. Commissioning during Ramadan means there is nothing to compare against.
Because prayer times shift daily and vary by city, and restaurants close around them. A fixed-hour daily sample lands inside a closure at random, producing an availability series that mostly measures your sampling time.
We sample across dayparts and flag likely_prayer_window as a derived field — it says the observation sits in a window where closures are common, not that a store closed for that reason.
No. It is a commercial label on a delivery zone, drawn from what is sold and offered there. It describes an area's product profile, not the people in it, and we collect no personal data in any market.
We quote individually. Market count is the dominant driver rather than zone count, because each market needs its own currency, calendar and category handling.
One scoping call, a zone definition document before quoting, a free pilot within 24 hours, then a fixed monthly quote. Request a zone proposal.
Tell us the markets and cities. We return a zone definition document — how each was defined, its catchment character, and the explicit note that it maps to no official boundary.
If Ramadan matters to your year, mention it early. The baseline has to be collected before the period, not during it.Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
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