Industry overview
Data Extraction for Telecom Operators
Telecom is the category where pricing 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.
Thousands of tariff combinations
A single prepaid data plan can have 20 variants across geographies, validity periods, data caps, and promotional overlays. Across postpaid, broadband, fiber, DTH, enterprise, and device bundles, a carrier's public price surface runs into thousands of tariff combinations..
Launch response in days
Competitive pricing in telecom is not a monthly scorecard, it is a launch-response system measured in days. A new plan with 10GB extra starts shifting ports within weeks, and operators who detect, benchmark, and respond inside the launch cycle hold net adds while the rest learn it from a customer-care escalation..
Web, app and channel
This is the surface we extract from, every day, across every carrier website, carrier app, and reseller channel. Plans, coverage claims, device offers, and promotional overlays all captured at the cadence carrier launch cycles actually require.
Key platforms in this space
When a competitor launched a tariff with 25 percent more data in a single circle, carriers that detected the move within 24 hours and responded held their port-in/port-out ratio. Carriers that reacted a week later lost three quarters of subscriber share recovery. 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
See every competitor's plan, every day, without anyone manually checking websites. Across prepaid variants, postpaid tiers including autopay discounts, postpaid packs in local currency. Same structured feed shaped to the market. Pricing teams see every tariff change as it goes live.
Plan launch detection
Get alerted the moment a competitor launches a new plan, not weeks later. Fiber-plus-streaming bundles, new 5G tiers, SIM-only promos. Same pipeline, different first-seen alerts. Pricing and product teams respond inside the launch window.
Promotional overlay tracking
Capture every cashback, discount, and campaign competitors are running right now. With stacking rules, validity windows, and bank tie-up depth. Marketing teams see comparable overlays before counter-campaigns get planned.
Device bundle and flagship pricing
Know exactly what competitors charge for a flagship smartphone with a plan, trade-in, and EMI. Across 36-month installments, premium-device bundles, and trade-in programs. Device-plus-plan economics priced against live competition, not last quarter's launch sheet.
FTTH, broadband and converged
Track competitor fiber and broadband plans the same way you track mobile. By city, by speed tier, by installation fee, by bundle. Coverage planning, pricing, and bundling decisions move on city-level evidence.
OTT bundle and content partnerships
See which streaming services and content bundles competitors are using to win customers. Streaming inclusions across plans, regional OTT bundles, content add-ons. OTT-plus-connectivity strategy benchmarked against live partnerships, not internal speculation.
5G, coverage and speed claims
Check whether competitor coverage and 5G claims are real, and where yours fall short. "Most-5G" claims benchmarked against the live measured map. City lists, speed promises, and coverage percentages structured for marketing and network teams.
Port-in and retention offers
See how much competitors are paying to steal your subscribers, and match it. Port-in cashback, keep-and-switch offers, port-in device subsidies. Retention teams see comparable competitor aggression and calibrate counter-retention with real benchmarks.
Roaming and international offers
Benchmark competitor roaming and international calling packs across travel seasons. Hajj and Umrah, Europe summer, EU roam-like-home. Roaming economics priced against the seasonal travel demand the packs are aimed at.
Family, group and multi-line plans
See how competitors price multi-line and family plans to lock in households. Price per additional line, shared-data structure, device add-on. Multi-line economics benchmarked against the live market.
Channel and app-vs-web execution audits
Catch when competitor plans are priced or advertised differently across their own channels. Marketplace stores versus competitor's own website. Big-box retail kiosks versus competitor's own site. Headline pricing audited against actual channel execution.
Enterprise and SME tariff tracking
Monitor publicly-visible enterprise and SME plans from competing telcos. Connectivity, cloud, security, and managed-service bundles. The enterprise pricing landscape shifts alongside retail. Visibility moves with it.
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.
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.
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
Without it
What you risk
Challenges
Why telecom data extraction is hard
If extraction were easy, you would do it yourself. Here is why it is not.
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.
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.
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.
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.
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.
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.
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.