Market · Singapore

Web Scraping Services in Singapore

Managed collection for Singapore teams, often as the base for regional APAC coverage.

Actowiz Solutions provides managed web scraping services to Singapore businesses across regional marketplace and retail, travel and hospitality, financial services and logistics sources. Engagements are scoped under the Personal Data Protection Act, and Singapore clients frequently use us for regional APAC coverage rather than domestic data alone.

Singapore is unusual among our markets: most engagements here are regional rather than domestic. Teams based in Singapore commonly need Southeast Asian, Australian and North Asian coverage on one schema, which is a harder problem than any single market.

Get a free sample See market specifics

Free pilot on your own sources, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

Where we are

Actowiz Solutions operates from Albany, New York and our development hub in Ahmedabad, India. We do not have a Singapore entity and will not claim one.

SGD or USD invoicing is available and the DPA is PDPA-aligned. Working hours overlap the Singapore day substantially — 2.5 hours' difference.

For MAS-regulated clients, we provide the material outsourcing documentation your framework needs, including subcontracting disclosure and exit planning via full data export with no exit fee.

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Singapore specifics

What is different about working in Singapore

The compliance regime, the sources and the practicalities that shape how an engagement here is actually scoped.

Privacy regime: Singapore PDPA with PDPC guidance, plus MAS requirements for financial sector clients
Typical scope: Regional, not domestic — SEA, ANZ and North Asia coverage on one schema
Our position: No personal data resale. Registry-anchored B2B data with documented lawful basis
Support hours: APAC hours covered — 2.5 hours' difference from Ahmedabad
Contracting: SGD or USD invoicing, PDPA-aligned DPA, written methodology document before signature
Our offices: Albany, New York and Ahmedabad, India. No Singapore entity claimed

Demand pattern

Most requested services in Singapore

Ranked by how often Singapore clients ask for them, with the market reason behind each.

Ecommerce data scraping →

Shopee, Lazada and regional marketplaces across multiple SEA markets, where cross-market comparison on one schema is the actual requirement.
Travel data scraping →

A regional hospitality hub where rate shopping across Agoda, Booking and Trip.com plus parity monitoring is a core use case.
Financial data scraping →

Regional financial coverage with published rates and filings across multiple jurisdictions on a consistent basis.
Logistics & freight data →

One of the world's largest transhipment hubs, where published tariffs, surcharge circulars and disruption events matter operationally.

These are the most common starting points, not a limit. All services are available in Singapore.

Why regional coverage is harder than any single market

Singapore engagements are usually regional, and multi-market collection is not simply single-market collection repeated. The difficulty is harmonisation.

What has to be reconciled across markets

Currency and pricing conventions. Tax-inclusive versus exclusive display differs by market, so a raw price comparison is invalid before normalisation.
Product identity. The same product carries different local SKUs, sometimes different pack sizes, and is listed in different languages.
Category taxonomies. Marketplace categories differ by market, so cross-market category analysis needs a mapping layer.
Source availability. A category well covered in one market may be thin in another, and pretending otherwise produces nulls you were told were data.
Languages and scripts. English, Bahasa, Thai, Vietnamese, Chinese, Japanese and Korean across one engagement.

We deliver one schema with market as a first-class dimension, product identity resolved across markets with confidence scoring, and a stated per-market coverage assessment during scoping — including which markets will be thin. A regional dataset that hides its weak markets is worse than one that names them.

PDPA, MAS expectations, and vendor due diligence

Singapore clients, particularly in financial services, run more thorough vendor due diligence than most markets. We regard that as reasonable and prepare for it.

PDPA scoping. Which fields involve personal data, the basis, and the exclusions that remove most of it. Our standard exclusions cover the majority: no personal data resale, no patient data, no reviewer profiles.
MAS outsourcing expectations. Financial sector clients face specific expectations around material outsourcing, subcontracting transparency and exit planning. Our full data export on request with no exit fee is designed to satisfy the exit planning element.
Subcontracting transparency. We disclose that we use commercial proxy providers as one infrastructure component, because discovering that during due diligence rather than being told is a poor way for it to surface.
Documented methodology. Source-by-source, field-by-field, provided before signature rather than on request.

None of this is legal advice, and MAS-regulated clients should apply their own outsourcing framework. What we provide is the documentation that framework requires, without a procurement cycle spent extracting it from us.

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

Before you commit to anything, we run collection against your own Singapore sources and send you the output. If the coverage is not there, the sample shows you that too — which is the point of running it first.

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

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.

Service commitments are identical in every market

Pilot within 24 hours, production live in 5–10 business days, 99.5% on-schedule delivery measured monthly, source breakage triaged the same business day, schema validation plus sampled human QA on every run, a named engineer rather than a ticket queue, and full historical export on request with no exit fee. These are contractual and appear in the engagement document.

See the full commitment table →

FAQ

Web scraping in Singapore: frequently asked questions

Including the questions about where we are based and how compliance is handled.

No German entity. Actowiz Solutions has offices in Albany, New York and Ahmedabad, India. SGD or USD invoicing is available, the DPA is PDPA-aligned, and working hours overlap substantially with the Singapore day.

For MAS-regulated clients with material outsourcing requirements, we provide the documentation your framework needs — including subcontracting disclosure and exit planning via full data export with no exit fee.

Yes, and that is the typical Singapore engagement. Southeast Asian marketplaces, Australia, and North Asia delivered on one schema with market as a first-class dimension.

The honest part: coverage depth varies by market and category, and we state which markets will be thin during scoping rather than delivering nulls you were told were data. A regional dataset that hides its weak markets is worse than one that names them.

Prices are captured in the local currency exactly as displayed, with the tax-inclusive or exclusive basis recorded per market, because display conventions differ and a raw comparison across them is invalid.

Conversion, where you need it, uses a documented daily rate supplied as a separate field so the conversion is auditable rather than baked in. We do not deliver a single converted figure with a hidden rate.

Shopee, Lazada, Amazon.sg, Qoo10 and Redmart; FairPrice, Cold Storage and Giant; GrabFood, Deliveroo and Foodpanda; PropertyGuru and 99.co; Agoda, Booking and Trip.com; Singtel, StarHub and M1; GeBIZ and GeTS procurement; JobStreet and JobsDB; plus regional coverage across Malaysia, Indonesia, Thailand, Vietnam, Philippines, Australia, Japan and Korea.

Coverage is built to your list and markets.

We provide what the framework requires: a written methodology document covering sources and fields, a PDPA-aligned DPA, subcontracting disclosure including our use of commercial proxy infrastructure, and exit planning through full historical data export on request with no exit fee.

Whether that satisfies your specific material outsourcing assessment is your compliance function's determination, not ours. We are not presenting this as a compliance certification.

Original text is retained in the published language, with translation available for filtering and triage. Product matching accounts for the same item being listed in different languages across markets — a common source of duplicate records in regional datasets.

Match confidence is delivered per record, and cross-market matches on differing pack sizes are flagged rather than forced, since regional pack variation is genuine and merging it corrupts price comparison.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

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2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

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1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner