Platform · AT&T

AT&T Data Scraping

A monthly charge that is not a tax, not in the advertised price, and went up this year. It is still part of the bill.

AT&T data scraping covers published wireless plans from AT&T and its prepaid brand Cricket. AT&T bills a per-line administrative and telecom recovery charge on top of the advertised price, which it says is not a government tax, and which rose to $4.99 per line for consumer postpaid in August 2026. So the charge is recorded by its printed name, amount and date, and included in total cost. US advertised prices often exclude taxes and fees and may assume autopay; each is recorded as its own field, as published. 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.

Fees outside the headline price are the fastest-moving part of a US wireless bill.

Get a free sample See sample data

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

att_sample.jsonl LIVE FEED

{"plan":"as published","price_advertised":65.99} {"fee_name":"as printed","fee_amount":4.99,"fee_basis":"per line","effective":"2026-08-05"} {"tco_includes_fees":true}

illustrative sample rows · USthe charge beside the price · schema v1.0

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

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

AT&T at a glance

How we handle AT&T specifically

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

Operator: AT&T; prepaid brand Cricket
Recovery charge: $4.99/line consumer postpaid from 5 Aug 2026
Billed: On top of the advertised price
So: fee_name, amount, effective_date
Prepaid: Its own charge, per payment
Autopay: Discount conditions as stated
Fibre: Lumen consumer fibre acquired, Feb 2026
Refresh: Weekly

Platform specifics

The charge beside the price

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

Fees by name

AT&T's recovery charge has changed name and amount over time, and differs between postpaid, prepaid and business. It is billed per line in addition to the plan price.

fee_name recorded exactly as printed, since names have changed.
fee_amount, fee_basis and effective_date per segment.
price_advertised and fees_extra kept separate; total cost adds them, labelled.
Autopay conditions recorded as stated.

Plans, fibre and what we do not do

Plans and prepaid

Postpaid and Cricket prepaid are separate catalogues. Device offers are bill credits with months and conditions, as on our Verizon page.

Total cost

Total cost over the contract is derived from the published terms and labelled, as the telecom hub describes.

What we do not do

Present advertised prices as the bill, rename fees, merge prepaid into postpaid, place orders or credit checks, or collect customer data.

Scope

What we collect on AT&T, 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

fee_name exactly as printed
fee_amount, basis and effective date per segment
Advertised price and extra fees separately
Autopay conditions as stated
Postpaid and prepaid as separate catalogues
Device credits with months and conditions
Fibre scoped separately
Total cost including fees, labelled
Weekly refresh

❌ What we do not, and why

Advertised prices presented as the bill
Fees renamed or merged
Prepaid merged into postpaid
Orders, applications or credit checks
Customer or account data

Core AT&T fields

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

Field	What it is on this platform
plan_id / plan_name / segment	Postpaid or prepaid
lines	Line count
price_advertised	As published
autopay_conditions	As stated
fee_name	As printed
fee_amount / fee_basis	Per line, per payment
fee_effective_date	As published
device_credit / credit_months	As published
taxes_fees_basis	Extra
tco_derived	Labelled, with fees
observed_at	Timestamp

Use cases

What teams do with AT&T data

Fee tracking

Recovery charges across US carriers, by date.

True monthly cost

Advertised price plus fees, labelled.

Prepaid benchmarking

Cricket against other prepaid brands.

Carrier comparisons

AT&T beside Verizon and T-Mobile on one basis.

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

Send us a AT&T 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.

AT&T is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. AT&T 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 AT&T-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

AT&T data scraping: frequently asked questions

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

A per-line monthly charge billed on top of the plan price, which AT&T says is not a government tax. It rose to $4.99 for consumer postpaid in August 2026.

Because its name has changed over time.

No. We record it separately and include it in total cost.

Yes, as its own catalogue.

Never.

It depends on plans, segments and refresh.

Talk to us.

See real AT&T 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.

Hear It Directly from Our Clients

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

▶

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.

▶

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

▶

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