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Industry overview

Data Extraction for Telecom Operators

Telecom is the category where pricing and promotion decisions affect hundreds of millions of subscribers, and one competitor's new plan can reset the market within 48 hours. Plans change by city, by circle, by device, by bundle, by month.

20+plan variants per tariff line
48-72 hourscompetitor launch response window
30-40%of telecom decisions depend on device bundles

Hourly competition

A single prepaid data plan from a major carrier can have 20 variants across geographies, validity periods, data caps, and promotional overlays. Multiply that across postpaid, broadband, fiber, DTH, enterprise, and device bundles, and a single carrier's public price surface runs into thousands of tariff combinations.

Operational necessity

Competitive pricing intelligence in telecom is not a monthly scorecard. Launch response windows are measured in days.

Every platform, every city

This is the landscape we extract data from. Every day, across every carrier website, carrier app, and reseller channel where plans, coverage claims, and device offers are published.

Key platforms in this space

Jio
Airtel
Vi
BSNL
T-Mobile
Verizon
AT&T
Mint Mobile
Vodafone
EE
O2
Three
Orange
Deutsche Telekom
Etisalat
STC
Ooredoo
Singtel
Jio
Airtel
Vi
BSNL
T-Mobile
Verizon
AT&T
Mint Mobile
Vodafone
EE
O2
Three
Orange
Deutsche Telekom
Etisalat
STC
Ooredoo
Singtel
Key insight

When a competitor launched a ₹299 tariff with 25% more data in a single circle, carriers that detected the move within 24 hours and responded with a matched plan held their port-in/port-out ratio. Carriers that reacted a week later lost three quarters of subscriber share recovery. In telecom, the 72 hours after a competitor launch are worth more than the next three months of marketing.

Use cases

Data extraction use cases

Every function in a telecom company benefits from knowing what competitors are doing. From pricing teams to category managers to operations leads, here are the ways competitive data drives decisions.

Plan pricing monitoring

Track every prepaid, postpaid, broadband, fiber, and enterprise plan across every competitor carrier, by circle, by city, by validity, by data cap. Your pricing team sees every tariff change as it goes live, not when it appears in internal rate cards weeks later.

Plan launch detection

Monitor carrier websites and apps for new plan launches. Detect the moment a competitor introduces a new tariff, understand pricing, data allowance, validity, and bundled offers, and feed launch intelligence into your pricing and product teams within the launch window.

Device and bundle tracking

Extract competitor device pricing, exchange offers, EMI plans, bundle structures, and postpaid-plus-device economics across every carrier. Benchmark your own device offers against the live market so iPhone and flagship launches are priced competitively from day one.

Promotional intelligence

Track every cashback offer, bank tie-up, credit card promotion, festival sale, and limited-time tariff discount competitors run. Your marketing team sees competing campaigns as they launch and plans counter-promotions with full visibility on discount depth and duration.

Coverage and 5G claim benchmarking

Extract competitor coverage maps, 5G launch claims, network speed promises, and quality-of-service benchmarks from carrier websites. Benchmark your marketing and coverage claims against competitors and identify where your own claims need to catch up or where competitor claims overstate reality.

Family and group plan analysis

Monitor family plan structures, group discounts, and multi-line pricing across competitors. Understand how aggressively rivals price multi-line plans to lock in households and benchmark your own family-plan economics.

FTTH and broadband monitoring

Track fiber-to-the-home and broadband pricing, speed tiers, installation fees, and bundle structures across every competitor in every city. Catch new broadband plan launches, speed upgrades, and coverage expansions as they happen.

DTH and bundled service tracking

Extract DTH, OTT-bundle, and triple-play offerings across carriers. Understand which streaming services, entertainment bundles, and content partnerships competitors leverage to differentiate and benchmark your own content-plus-connectivity strategy.

Port-in promotions and retention offers

Monitor port-in promotional offers, sign-up bonuses, and win-back campaigns competitors run. Feed your retention team with data on how aggressively rivals are chasing your subscribers and calibrate counter-retention campaigns with real benchmarks.

Enterprise and B2B plan tracking

Extract enterprise tariff disclosures, SME plans, and B2B bundle structures where they are publicly visible. Benchmark your enterprise offerings against competitor published tariffs and track how the enterprise pricing landscape shifts alongside retail.

Store and channel execution audits

Audit how competitor plans are presented across online stores, retailer partners, and carrier apps. Identify differences between headline pricing and actual final prices, catch misrepresented plans at channel partners, and feed channel audits into your own execution teams.

Roaming and international offer tracking

Extract competitor roaming plans, international calling offers, and cross-border bundle pricing. Benchmark roaming economics across the travel seasons and identify where competitor roaming offers are pulling high-ARPU subscribers away.

These are the most common use cases. Every engagement is scoped to your specific needs. If you have a use case not listed here, we will build it.

Data landscape

The data we extract

Here is what a structured competitive data feed looks like for telecom. We extract, clean, deduplicate, and deliver every data point listed below, across every carrier, every plan category, and every geography you monitor.

Field
Sample value

This is a representative sample of the data we extract. We customize every extraction to your exact requirements. If you need a data point not listed here, we will add it to your pipeline.

Delivery formats

You tell us how you want the data. We handle everything else.

CSV

Daily or hourly drops

Scheduled flat-file delivery. Clean, deduplicated rows with the columns you define.

{}
{}

JSON

Nested or flat schema

Structured JSON files for direct ingestion into your data pipeline or analytics tools.

API

Real-time access

REST API with real-time access to the latest extracted data. Webhook support included.

Direct warehouse

Zero-touch delivery

We push directly to your Snowflake, BigQuery, Redshift, or S3 bucket. Zero manual steps.

Custom setup

Talk to us

Need a different format, frequency, or integration? We build it for you at no extra cost.

Impact

Why competitive data matters

The difference between having competitive intelligence and operating without it is measurable in revenue, market share, and speed.

With competitive intelligence

What you gain

Detect competitor plan launches within 24 hours and respond inside the 48-72 hour port-shift window.
Benchmark device bundles and exchange offers against the live market during flagship launches.
Track coverage and 5G claims continuously so marketing differentiation is calibrated to the real competitive landscape.
Monitor FTTH, broadband, and DTH pricing alongside mobile to benchmark converged offerings comprehensively.
Feed port-in and retention teams with real promotional benchmarks rather than internal guesses.
Audit channel execution across competitor retail partners, online stores, and carrier apps to catch misrepresentation and opportunities.
Real-time advantage

Without it

What you risk

Competitor launches shift port-in/port-out volumes before anyone on the pricing team sees the new plan.
Device bundle economics get set on internal assumptions while competitors win flagship launch windows with sharper offers.
Coverage and 5G marketing claims run without benchmarks against what competitors actually promise, leaving credibility gaps.
FTTH and broadband pricing decisions happen against quarterly rate cards while converged competitors move monthly.
Retention and port-in teams react to customer-care escalations rather than structured competitor data.
Channel partners misrepresent plans and pricing without systematic audit data, and execution gaps cost subscriber growth.
Blind spots compound

Challenges

Why telecom data extraction is hard

If extraction were easy, you would do it yourself. Here is why it is not.

01

Carrier website complexity

Every carrier website is architected differently, with dynamic pricing, geo-gated content, session-based personalization, and language variations. Extracting structured tariff data requires site-specific engineering per carrier, not generic scraping. Sustained coverage across 10+ carriers requires continuous maintenance.

02

App-locked plans and offers

A significant share of telecom promotional pricing lives behind carrier mobile apps, not on public websites. App-only offers, loyalty discounts, and app-exclusive device bundles are invisible to web-only extraction. Capturing them requires API-level interception of carrier apps.

03

Circle and geography fan-out

In markets like India, plans and pricing vary by telecom circle; in the US, by carrier footprint and regional promo. Extracting the true competitive picture requires running parallel extraction from every relevant geography, not just a single national view.

04

Rapid plan churn

Carriers introduce, modify, and retire plans constantly, sometimes within days. Monthly extraction misses most of the short-lived promotional overlays. Meaningful competitive intelligence requires daily or weekly extraction with first-seen date preservation for launch detection.

05

Device bundle complexity

Device bundle economics — down payments, exchange offers, EMI rates, postpaid commitments, and bundled service months — require simulating the full purchase flow across every carrier's device store. Extracting full bundle economics is more complex than extracting base tariffs and most vendors do not handle it well.

06

Coverage-claim verification

Coverage maps and 5G claims often live in interactive, geo-limited web tools rather than static pages. Extracting structured coverage data requires running geographic queries against each carrier's coverage tool and normalizing results, not simply scraping a landing page.

07

Anti-bot and anti-scraping defenses

Carrier websites and apps invest in bot detection, particularly for pricing and coverage pages where competitors are monitoring. Maintaining sustained extraction requires continuous adaptation to platform defenses. One-time implementations fail within weeks.

Why us

Why Clymin for telecom

We are not a tool. We are the team you call when the data matters too much to get wrong.

We solve what others can't

Telecom competitive intelligence needs carrier-specific extraction, app-level coverage, geography fan-out, and device-bundle depth. We handle all of it. When other vendors say they only cover base tariffs or only web-visible plans, that is where we start.

You pay only for data delivered

No setup fees, no customization charges, no platform fees. One metric: cost per record. If we do not deliver, you do not pay. Your cost scales with your actual data consumption, nothing else.

We protect your identity

We do not display customer logos or names anywhere. In telecom, competitive intelligence is especially sensitive — carriers have dedicated teams monitoring extraction traffic tied to competitors. Your identity is protected. That is a promise, not a policy.

We prove it before you pay

No pitch deck replaces real output. We offer a free pilot: your carriers, your geographies, your plan categories, our execution. You evaluate the quality, coverage, and freshness of the data, then decide.

100B+

Data points extracted

24/7

Pipeline uptime

Real-time

Data delivery

100K+

Points of interest covered

Proven at enterprise scale. We operate continuous competitive intelligence infrastructure for one of the world's largest quick commerce platforms.

See what telecom intelligence looks like for your pricing team

Free pilot. 1-3 day turnaround. Your carriers. Your geographies. Our execution.

FAQ

Telecom data extraction FAQ

We extract from every major carrier globally. India: Jio, Airtel, Vi, BSNL. United States: T-Mobile, Verizon, AT&T, Mint Mobile, Cricket, Metro. United Kingdom: Vodafone, EE, O2, Three. Europe: Orange, Deutsche Telekom, Telefonica. Middle East: Etisalat, STC, Ooredoo. Asia: Singtel, Telkomsel, Globe, PLDT. If you monitor a carrier, we likely cover it.

Yes. App-only plans, loyalty pricing, and exclusive device bundles are common and increasingly important. We handle API-level interception of carrier mobile apps alongside web extraction so you see the full competitive picture, not just the public website.

We support frequencies from every few hours to daily. Most enterprise carriers choose daily for broad tariff monitoring and hourly or 6-hour intervals on top-priority plan categories and geographies to capture launch windows and short-lived promotions.

Yes. We run structured queries against each carrier's coverage tool across the geographies you specify, extract coverage claims, speed promises, and 5G indicators, and normalize results into structured feeds your marketing and network teams can benchmark against.

Device bundle economics require simulating the full purchase flow — device selection, plan pairing, exchange offer application, EMI selection, and final pricing. We run these flows for every device and bundle you monitor across carriers and deliver structured bundle economics, not just headline device prices.

You share your requirements: which carriers, which geographies, which plan categories, what data points, what frequency. We build the extraction pipeline, run it for 1-3 days, and deliver structured sample data in your preferred format. You evaluate the quality and coverage, then decide. No payment, no commitment.

No. We do not display customer logos or names anywhere, on our website, in sales materials, or in conversations with other prospects. Telecom competitive intelligence is particularly sensitive. Your identity is protected.

We charge per record delivered. One record is one structured row of data with the columns you define. Zero setup fees. Zero customization charges. Zero platform fees. Higher monthly volumes get lower per-record rates. You pay only for data we successfully deliver.