Platform · Apotal

Apotal Data Scraping

Every German website must say who runs it. For a pharmacy, that statement is the starting point, not a detail.

Apotal data scraping covers OTC product and price data from the German mail-order pharmacy. Its history includes a 2020 sale of its mail-order and diabetes business to Zur Rose, now DocMorris, so who runs what is not obvious from the name. German websites must publish a legal notice (Impressum), and that is where the operator is taken from — recorded as stated, dated, and nothing beyond it inferred. No patient data, no prescriptions and no individual health information are collected, and reviews that disclose a condition are excluded.

Where ownership history is tangled, the site's own legal statement is the fact to record.

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apotal_sample.jsonl LIVE FEED

{"operator_as_stated":"from the Impressum","notice_read_at":"2026-09-22"} {"inferred_relationships":null,"history_note":"2020 sale of mail-order and diabetes business"} {"rx_or_otc":"otc","price":5.79,"reference_label":"UVP"}

illustrative sample rows · DEwho runs it, in its own words · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Apotal or its owners. Apotal 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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Apotal at a glance

How we handle Apotal specifically

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

Pharmacy: Apotal — German mail-order pharmacy
History: Mail-order and diabetes business sold to Zur Rose, 2020
Operator: From the Impressum, as stated
So: operator_as_stated with a date
Relationships: Not inferred beyond the notice
OTC prices: Free; reference labels recorded
Rx: Regulated; recorded for availability
Refresh: Daily for OTC; monthly for the notice

Platform specifics

Who runs it, in its own words

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

The Impressum as the source

German law requires websites to name their operator in a legal notice. A pharmacy's notice names the responsible pharmacy, its pharmacist and its supervisory authority.

operator_as_stated recorded from the notice, with the date read.
supervisory_authority recorded as stated.
Changes to the notice are recorded as dated events, checked monthly.
Named pharmacists are professional details on a legal notice; they are not part of the product deliverable.

Apotal's 2020 transaction with Zur Rose is history; we do not infer from it who operates or supplies the site today.

Prices, and what we do not do

OTC

OTC prices are recorded with their crossed-out reference and label, as on our Shop Apotheke page.

Rx

Rx prices are regulated in Germany; Rx products are recorded for listing and availability only.

What we do not do

Infer ownership or supply relationships, place orders, submit prescriptions, or collect patient or health data.

Scope

What we collect on Apotal, 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

operator_as_stated from the Impressum, dated
supervisory_authority as stated
Notice changes as dated events
Monthly check of the legal notice
OTC prices with reference label and basis
rx_or_otc on every product
PZN recorded where displayed
Pack size and unit price as displayed
Daily OTC refresh

❌ What we do not, and why

Ownership or supply relationships inferred
Named pharmacists in the product deliverable
Orders placed
Prescriptions submitted or handled
Patient or health data

Core Apotal fields

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

Field	What it is on this platform
operator_as_stated	From the Impressum
notice_read_at	Date
supervisory_authority	As stated
notice_event / event_date	Changes
product_id / pzn / name	As published
rx_or_otc	As classified
price / currency	As displayed
reference_label / reference_price_displayed	As shown
pack_size / unit_price	As displayed
availability	As displayed
observed_at	Timestamp

Use cases

What teams do with Apotal data

German OTC pricing

Apotal prices beside DocMorris and Shop Apotheke.

Operator verification

Who runs each German online pharmacy, from its own notice, dated.

Market structure

Changes in operators over time, as notices change.

Rx availability

Which Rx products are listed, without price claims.

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

Send us a Apotal 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 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.

Apotal is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Apotal 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 healthcare & pharmacy data covers, and a Apotal-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

Apotal data scraping: frequently asked questions

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

We record the operator its legal notice names, with the date read. We do not infer beyond it.

Zur Rose, now DocMorris, bought Apotal's mail-order and diabetes business in 2020. What the site states today is what we record.

Because operators change, and the notice is where a German site must say so.

They are regulated. Rx products are recorded for availability.

Not in the product deliverable.

It depends on categories and frequency.

Talk to us.

See real Apotal 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.

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