Platform · Airtel

Airtel Data Scraping

A pack at one price last month, a similar pack at a higher price this month, and the old one gone. Nobody announced it.

Airtel data scraping covers published prepaid and postpaid packs from Bharti Airtel. Packs are sometimes repriced, replaced or withdrawn quietly, without an announced tariff revision. So every pack is tracked by its identity — validity, allowance and benefits — and each addition, removal or repricing is recorded as a dated event. Indian prepaid packs are priced per validity period, not per month, so a monthly equivalent is derived from the validity days and labelled. 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.

The absence of an announcement is not the absence of a price change.

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airtel_sample.jsonl LIVE FEED

{"pack_identity":"84 days, 1.5GB per day","price":859,"last_seen":"2026-08"} {"pack_event":"repriced","price":899,"announced":false} {"pack_event":"removed","price":799}

illustrative sample rows · INchanges nobody announced · schema v1.0

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

How we handle Airtel specifically

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

Operator: Bharti Airtel
Pack changes: Often unannounced
So: pack identity tracked; changes as events
Identity: Validity, allowance and benefits
Events: added, removed, repriced, replaced
Pack basis: Price per validity period
5G: Eligibility per pack, as stated
Refresh: Weekly

Platform specifics

Changes nobody announced

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

Pack identity

When a pack's price changes but its benefits stay the same, that is a repricing. When a pack disappears and a similar one appears at a different price, that is a replacement. Both are recorded.

pack_identity from validity, allowance, voice, SMS and benefits.
pack_event — added, removed, repriced, replaced — with first-seen and last-seen dates.
replacement_of recorded where a new pack closely matches a removed one, with a match_basis.
Announced revisions recorded separately from observed changes.

Packs, and what we do not do

Packs

Price, validity, daily caps and 5G eligibility are separate fields, as on our Jio 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

Treat a replaced pack as unchanged, assume changes were announced, place recharges or orders, or collect customer data.

Scope

What we collect on Airtel, 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

Pack identity from its benefits
Added, removed, repriced and replaced events
First-seen and last-seen dates
replacement_of with match basis
Announced and observed changes apart
Validity, caps and 5G eligibility
Prepaid and postpaid apart
Monthly equivalents derived and labelled
Weekly refresh

❌ What we do not, and why

Replaced packs treated as unchanged
Changes assumed to be announced
Recharges or orders
Customer or account data
Coverage claims presented as measurements

Core Airtel fields

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

Field	What it is on this platform
pack_id / price	INR
pack_identity	Validity, allowance, benefits
validity_days / daily_cap	As stated
5g_unlimited_eligible	As stated
pack_event	added, removed, repriced, replaced
first_seen / last_seen	Dates
replacement_of / match_basis	Where matched
announced	true or false
plan_type	prepaid or postpaid
monthly_equivalent_derived	Labelled
observed_at	Timestamp

Use cases

What teams do with Airtel data

Silent price change detection

Repricing and replacement across Indian operators.

Tariff benchmarking

Airtel beside Jio and Vi.

Pack portfolio analysis

Which price points are kept or dropped.

ARPU context

Entry pack changes over time.

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

Send us a Airtel 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.

Airtel is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Airtel 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 Airtel-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

Airtel data scraping: frequently asked questions

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

By tracking each pack's identity and recording additions, removals and repricing with dates.

A new pack closely matching a removed one. We record the match basis.

Yes.

Yes, separately.

Never.

It depends on packs and refresh.

Talk to us.

See real Airtel 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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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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