Platform · Bol

Bol Data Scraping Services

One storefront, two countries, two sets of prices and delivery terms. Country has to be a field.

Bol data scraping is the automated collection of publicly visible Bol data across the Netherlands and Belgium — with country recorded on every record because a single storefront serves two markets at different prices and delivery terms, plus retailer stock separated from marketplace offers and Dutch text normalised for matching.

Bol looks like one shop and behaves like two markets. Prices, delivery terms and availability differ between the Dutch and Belgian views of what appears to be the same catalogue.

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bol_countries.jsonl LIVE FEED

{"bol_ean":"87121****4471", "country":"nl", "product_key":"aw-bnl-88120", "match_confidence":0.96, "offer_source":"bol_retail", "is_default_offer":true, "price":34.99, "available_in_country":true, "delivery_promise":"tomorrow", "membership_benefit":"free delivery, no minimum", "title_normalised":"Example Brand koffiezetapparaat KZ-12"} {"bol_ean":"87121****4471", "country":"be", "product_key":"aw-bnl-88120", "price":37.49, "price_gap_vs_other_country":7.1, "delivery_promise":"2-3 days", "note":"same product, 7.1% higher, slower promise"}

2 of 3,102,440 product-country rowscross-country identity maintained · schema v2.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Bol or its owners. Bol and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Bol at a glance

How we handle Bol specifically

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

Platform: Bol across Netherlands and Belgium
Critical dimension: Country on every record, since one storefront serves two markets
Offer split: Bol-sold stock separated from marketplace seller offers
Delivery: Terms and promise differ by country, captured per record
Language: Dutch text normalised, with Flemish variation handled
Membership: Membership delivery benefits captured where publicly displayed
Refresh: Daily standard; sub-daily during campaign periods
Region: Netherlands and Belgium

Platform specifics

What makes Bol data different from a single-market marketplace

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

One storefront, two markets, different prices

Bol presents a broadly shared catalogue to Dutch and Belgian shoppers, but it does not present the same commercial terms. This is easy to miss precisely because the storefront looks unified.

Prices differ between the two country views on a meaningful share of items.
Delivery terms and promise differ, driven by fulfilment geography.
Availability differs, since not every offer serves both countries.
Marketplace seller coverage differs, so the offer set is not identical.

We put country on every record and collect each country view separately rather than assuming one represents both. Collecting only the Dutch view and presenting it as Bol produces a dataset that is wrong for Belgium on price, delivery and availability simultaneously — the same error as collecting one Zalando storefront and calling it Zalando.

Where an item is present in one country and absent in the other, that is recorded as a country availability difference rather than as a delisting.

Bol-sold and marketplace offers are different parties

Bol sells its own inventory alongside marketplace sellers, and both appear on the same product page.

Bol-sold offers are the retailer's pricing decision.
Marketplace offers are third parties setting their own prices, which is where channel-control questions live.
Delivery terms differ between the two, and membership benefits often apply differently.
Grey stock concentrates on the marketplace side.

We capture offer_source plus seller identity where displayed, and the full offer set rather than only the default. As on every marketplace we collect, the non-default offers are where brand protection work actually happens.

Dutch and Flemish text, and why matching needs care

Product titles here are Dutch, with Flemish variation in the Belgian context and English brand and model terms mixed in. Titles also embed pack and quantity information in seller-formatted text.

Matching on raw title fails, and matching across the two country views has a specific trap: the same product may carry slightly different titles per country, so a naive matcher treats it as two products and a naive deduplicator merges genuinely different variants.

We normalise Dutch text, handle Flemish variants, extract model numbers and compare attributes, delivering product_key with match_confidence. Cross-country identity is maintained explicitly so a price comparison between the Dutch and Belgian views is between the same product rather than between two plausible-looking matches.

Where confidence is low we flag rather than merge, for the same reason as everywhere else: a wrong merge produces a cross-country price gap that does not exist.

Scope

What we collect on Bol, 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

Country on every record, with each country view collected separately
Country availability differences recorded as such, not as delistings
Offer source separating Bol-sold stock from marketplace offers, with seller identity
Full offer set per product with a default-offer flag
Delivery terms and promise per country
Membership delivery benefits where publicly displayed
Dutch text normalised with Flemish variants handled, plus cross-country product identity
Match confidence on every identity link, with low confidence flagged not merged
Ratings and review text without reviewer profiles

❌ What we do not, and why

A single Bol price representing both countries
Merged product identities where cross-country match confidence is low
Membership prices requiring a signed-in session
Seller portal or any credentialed Bol system
Reviewer names, profiles or review histories

Core Bol fields

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

Field	What it is on this platform
bol_ean / bol_product_id	EAN where published and platform product identifier
country	nl or be, mandatory since prices and terms differ
product_key / match_confidence	Cross-country and cross-listing identity with confidence
price	Price for this country view
price_gap_vs_other_country	Computed difference where the product is present in both
offer_source / seller_name	bol_retail or marketplace, with seller identity where shown
is_default_offer	Whether this is the offer shown by default
available_in_country	Whether the offer serves this country
delivery_promise / delivery_terms	Promise and terms for this country
membership_benefit	Membership delivery benefit where publicly displayed
title_raw / title_normalised	Published title and our normalised form

Use cases

What teams do with Bol data

Cross-border price gap analysis within one storefront

Country on every record with maintained cross-country identity makes the Dutch-Belgian price gap measurable, which a single-view dataset cannot show.

Correct attribution of pricing decisions

Offer source separates Bol's own pricing from marketplace sellers, so a price observation leads to the right counterparty.

Country availability and range difference tracking

Presence in one country and absence in the other is recorded as a country difference rather than a delisting, preventing false churn signals.

Benelux market entry assessment

Offer sets with seller identity across both countries show who currently sells a category and on what delivery terms in each market.

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

Send us a Bol 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 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.

Bol is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Bol 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 ecommerce data scraping covers, and a Bol-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

Bol data scraping: frequently asked questions

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

Because one storefront serves two markets with different prices, delivery terms and availability. Collecting the Dutch view and presenting it as Bol produces a dataset that is wrong for Belgium on price, delivery and availability at once.

It is the same error as collecting one Zalando storefront and calling it Zalando — easier to make here because the storefront looks unified.

With explicitly maintained cross-country identity and a confidence score. The same product can carry slightly different titles per country, which trips naive matchers in both directions.

Where confidence is low we flag rather than merge, because a wrong merge produces a cross-country price gap that does not exist.

Because they are different pricing authorities. Bol-sold offers are the retailer's decision; marketplace offers are third parties setting their own prices.

Delivery terms and membership benefits often apply differently between the two, and grey stock concentrates on the marketplace side. A price attributed to the wrong party leads to the wrong conversation.

No. We record it as a country availability difference. Not every offer serves both countries, and that is normal operation rather than a range change.

Treating it as a delisting produces false churn signals in exactly the analysis a range team would rely on.

Yes. Dutch normalisation with Flemish variants handled, alongside English brand and model terms that appear mixed into titles.

Pack and quantity information is also embedded in seller-formatted title text rather than structured, so we extract it where reliably possible and return null with a reason where not.

We quote individually. Drivers are category scope, whether both country views are needed, whether full offer sets are required, and refresh frequency.

Collecting both countries is not double the cost, since product matching and scoping are shared. One scoping call, a free pilot within 24 hours, then a fixed monthly quote. Request a quote.

See real Bol 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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