Platform · 1&1

1&1 Data Scraping

Germany's fourth network is part own network, part someone else's. Which one serves a customer depends on where they are.

1&1 data scraping covers published tariffs from the operator building Germany's fourth mobile network on Open RAN. Its own network covered around a quarter of households in early 2026, with national roaming on Vodafone's network elsewhere. So coverage is recorded as two networks, as 1&1 states it, and tariffs are recorded like any operator's. Plans are compared on total cost over the contract, not the advertised monthly price, and no order, credit check or sign-in is ever made.

An operator's coverage claim means something different when part of it is another operator's network.

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1und1_sample.jsonl LIVE FEED

{"tariff":"as published","price":19.99} {"network":"own network","roaming_partner":"as stated"} {"coverage_claim_source":"operator"}

illustrative sample rows · DEtwo networks under one brand · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to 1&1 or its owners. 1&1 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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1&1 at a glance

How we handle 1&1 specifically

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

Operator: 1&1 — United Internet
Network: Own Open RAN network
Own coverage: About 27% of households (early 2026), as reported
Elsewhere: National roaming on Vodafone
So: coverage by network, as stated
Migration: Customers moved to own network in 2025
Incidents: Nov 2025 outage recorded as event
Refresh: Weekly; coverage statements monthly

Platform specifics

Two networks behind one brand

These are the reasons a 1&1 dataset needs its own handling rather than a shared retail schema.

Coverage by network

1&1 moved its customers onto its own network during 2025 and relies on national roaming on Vodafone's network outside its coverage.

coverage_claims recorded as 1&1 states them, with network: own or network: roaming_partner.
Coverage figures as published, dated; we do not measure coverage.
Network incidents reported publicly recorded as dated events, without interpretation.
Tariffs recorded with monthly, one-off and contract terms.

Tariffs, and what we do not do

Tariffs

Monthly price, one-off fees, allowances and promotions, as on our Telekom page. Total cost over the contract is derived from the published terms and labelled, as the telecom hub describes.

The roaming partner

Vodafone Germany is also a competitor; its tariffs are covered on our Vodafone page.

What we do not do

Measure coverage, interpret incidents, present coverage claims as fact, place orders, or collect customer data.

Scope

What we collect on 1&1, 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

coverage_claims with network: own or roaming_partner
Coverage figures as published, dated
Network incidents as dated events
Tariffs with monthly and one-off prices
Promotions with windows
Handset bundles as published
Monthly coverage statement refresh
Total contract cost derived and labelled
Weekly tariff refresh

❌ What we do not, and why

Coverage measured or estimated by us
Incidents interpreted
Coverage claims presented as fact
Orders, applications or credit checks
Customer or account data

Core 1&1 fields

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

Field	What it is on this platform
tariff_id / tariff_name	As published
monthly_price / one_off_price	As published
data_allowance	As published
contract_months	As stated
coverage_claim / network	own or roaming_partner
coverage_figure / as_of	As published
incident_event / event_date	Publicly reported
promo_terms	As stated
device_offers	As published
tco_derived	Labelled
observed_at	Timestamp

Use cases

What teams do with 1&1 data

Fourth-network tracking

Coverage claims and tariffs as the network grows.

German competitive sets

1&1 beside the three established networks.

Roaming dependency

How much of the proposition relies on the partner.

Price positioning

Tariffs compared on total cost.

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

Send us a 1&1 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.

1&1 is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. 1&1 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 telecom data covers, and a 1&1-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

1&1 data scraping: frequently asked questions

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

Yes, an Open RAN network covering part of Germany, with national roaming on Vodafone elsewhere.

No. We record coverage claims as 1&1 states them.

Publicly reported incidents, as dated events.

United Internet.

Never.

It depends on tariffs and refresh.

Talk to us.

See real 1&1 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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