Market · Brazil

Web Scraping Services in Brazil

Where the monthly instalment is the price shoppers compare, and a headline figure misses the offer.

Web scraping services in Brazil means managed collection from Brazilian retail and marketplace sources under LGPD, with instalment terms captured as their own fields because the monthly payment is frequently what shoppers compare, and FX recorded with timestamps for cross-market work.

Brazilian ecommerce runs on instalments. A listing offering twelve interest-free payments competes differently from one at the same headline price offering three with interest, and price-only data cannot see it.

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 an office in Albany, New York — 350 Northern Blvd STE 324-1208, Albany, NY 12204-1000 — and a development hub in Ahmedabad, India. There is no Brazilian entity.

Engineering covers BRT business hours. Contracts are written under the US entity, and documentation and reporting are in English. If Portuguese-language contracting or a Brazilian entity is a procurement requirement, raise it during scoping rather than after.

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

Brazil specifics

What is different about working in Brazil

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

Privacy regime: LGPD, with ANPD as supervisory authority
Our position: No personal data resale. No CPF or personal identifiers. B2B contact data only with documented lawful basis
Pricing mechanic: Instalment terms captured as separate fields, never folded into one price
Currency: BRL authoritative, with FX rate and timestamp recorded for conversion
Retail structure: Marketplace-heavy, with seller offer sets on most listings
Support hours: BRT business hours covered from Ahmedabad
Offices: Albany, New York and Ahmedabad, India — no Brazilian entity
Delivery: CSV, JSON, Parquet, REST API, cloud bucket or warehouse

Demand pattern

Most requested services in Brazil

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

Mercado Libre data scraping →

The dominant marketplace, where instalment terms and official-store status both change what a price observation means.
Pricing & product data →

Price-only monitoring here misses the instalment dimension entirely, which is where a large share of competition happens.
Ecommerce data scraping →

A marketplace-heavy market where offer sets and seller identity matter as much as the default price.
Seller & vendor data →

Unauthorised seller activity concentrates in marketplace offer sets rather than on the default offer.
Agriculture & commodity data →

A major agricultural exporter, where commodity reference pricing and logistics data both matter.
Financial & market data →

Reference rates with source attribution, needed for the FX handling that cross-market comparison depends on.

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

Instalments are a pricing mechanic, not a payment detail

Instalment purchase is embedded in Brazilian retail, and instalment terms are displayed prominently alongside price. For a large share of shoppers the monthly figure is what gets compared.

Why a single effective price is the wrong answer

Two listings at the same headline price differ if one offers twelve interest-free instalments and the other three with interest.
Interest-free instalments cost the seller, so their presence signals margin and commitment on that listing.
Terms are a competitive lever pulled independently of price, so changes in them are activity price monitoring cannot see.
Terms differ by seller on the same product, which makes the offer set matter.

We capture instalment count, monthly amount and interest-free status as separate fields alongside headline price. We do not compute a single effective price from them: whether the terms matter depends on whether your buyer is price-sensitive or cash-flow-sensitive, and that judgement is yours.

Detail on our Mercado Libre service, which covers the same mechanic across Latin American markets with official-store separation and logistics tier.

LGPD, and why our exclusions predate it

LGPD governs personal data handling in Brazil with ANPD as supervisory authority. Its structure is broadly familiar to anyone working under GDPR, with its own specifics on lawful bases and data subject rights.

Our position

No personal data resale, in Brazil or anywhere.
No CPF or personal identifiers in any deliverable.
No patient or clinical data.
B2B contact data only with a documented lawful basis, and role-based business contacts rather than personal ones where we have the choice.
Reviewer names, profiles and histories excluded from every review dataset we deliver, in every market.

That position was set because it is the only one that survives every regime we operate in, not because LGPD required it. The practical consequence is that LGPD compliance for our deliverable is structural rather than contractual: there is no personal data in it to govern.

Cross-market work and currency

Brazilian clients frequently compare against other Latin American markets or against US pricing. BRL is authoritative on every record, and the FX rate is stored with its timestamp and source so conversion stays derived and recomputable. A single converted figure without the rate asks you to trust arithmetic you cannot reconstruct — and in a market with meaningful currency movement that is a real risk rather than a theoretical one.

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

Before you commit to anything, we run collection against your own Brazil 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 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.

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 Brazil: frequently asked questions

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

No. We operate from Albany, New York and Ahmedabad, India. Contracts are written under the US entity and documentation is in English.

If Portuguese-language contracting or a Brazilian entity is a procurement requirement, raise it during scoping — it changes the answer rather than the price.

Because instalments are a pricing mechanic here, not a payment detail. Two listings at the same headline price differ materially if one offers twelve interest-free instalments and the other three with interest.

Terms are also a competitive lever pulled independently of price, so changes in them are activity that price monitoring cannot see at all.

Because the right comparison depends on your buyer. A price-sensitive shopper compares headline price; a cash-flow-sensitive one compares the monthly figure, and both are real segments here.

We deliver count, amount and interest-free status as separate fields so you can model either rather than inheriting our judgement about your customer.

By excluding personal data from scope entirely: no personal data resale, no CPF or personal identifiers, no patient data, B2B contact data only with a documented lawful basis, and no reviewer names or profiles in any deliverable.

That position was set because it survives every regime we operate in, not because LGPD required it. The practical consequence is that compliance for our deliverable is structural — there is no personal data in it to govern.

Yes. BRL is authoritative on every record and the FX rate is stored with its timestamp and source, so conversion stays derived and recomputable.

A single converted figure without the rate asks you to trust arithmetic you cannot reconstruct. In a market with meaningful currency movement that is a real risk rather than a theoretical one.

We quote individually. Drivers are source count, whether full seller offer sets are required, whether instalment capture is needed across the catalogue, and refresh frequency.

One scoping call, a free pilot on your own sources within 24 hours, then a fixed monthly quote. Request a quote.

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

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"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