Latest Insights and Trends in Data Scraping and Analytics

FIRST-MOVER INTELLIGENCE // ZERO COMPETITORS HAVE COVERED THIS ANGLE YET

How brands can extract competitive signals from India's open commerce network before everyone else catches on.

WHY UNIQUE

ONDC is India's fastest-growing commerce infrastructure — and virtually no one is publishing structured intelligence from it. No aggregated pricing data. No seller mapping. No cross-network availability analysis. Actowiz Solutions changes that today.

9.8Cr+

Monthly ONDC transactions — Apr 2026

7,400+

Active seller NPs on the network

131

Cities where ONDC commerce is live

₹0

Publicly available competitive data

WHAT IS ONDC — AND WHY IT IS A DATA GOLDMINE

ONDC — the Open Network for Digital Commerce — is India's government-backed open commerce protocol that allows any buyer app to connect to any seller app through a standardised API layer. Think of it as the UPI of e-commerce: an interoperable network where a shopper on Paytm can buy from a seller listed on Meesho, or a consumer on Magicpin can order groceries from a hyperlocal store connected via the Mystore app.

Launched in 2022 and scaling rapidly into 2026, ONDC now processes nearly 9.8 crore transactions per month across food delivery, grocery, fashion, electronics, mobility, and financial services. What makes it different from Amazon or Flipkart is not just its open architecture — it is the fact that its transaction layer, seller catalogue data, pricing structures, and buyer app preferences are potentially extractable in ways that closed platforms actively prevent.

Actowiz Solutions has spent the past four months building ONDC-specific data scraping and intelligence infrastructure. What we found is extraordinary — and almost entirely overlooked by the market intelligence industry. Here is what brands, investors, and analysts need to know.

THE ONDC DATA SIGNALS NOBODY IS CAPTURING

1 Seller catalogue intelligence
Every seller on ONDC publishes a structured product catalogue through their seller NP. These catalogues — containing product names, prices, variants, availability, and images — are accessible through the open network layer in ways that Amazon and Flipkart listings actively prevent.
PRICING SIGNAL

2 Cross-network price arbitrage
Because ONDC connects multiple buyer and seller apps, the same product can be listed at different prices across different seller NPs simultaneously. This creates trackable arbitrage gaps — a goldmine for brands monitoring grey market pricing and unauthorised resellers.
ARBITRAGE SIGNAL

3 Hyperlocal seller mapping
ONDC's architecture requires sellers to declare their serviceable pin codes. This creates a real-time, scrapable map of which sellers are active in which geographies — enabling hyperlocal competitive intelligence that no closed platform has ever published.
GEOGRAPHIC SIGNAL

4 Category expansion velocity
New seller registrations and category onboardings on ONDC are detectable through network activity patterns. Brands can track when a competitor launches on ONDC, which buyer apps they prioritise, and how their catalogue evolves week over week.
COMPETITIVE SIGNAL

5 Buyer app preference data
Different ONDC buyer apps attract different consumer demographics. Paytm ONDC skews urban and payment-led. Magicpin skews hyperlocal and experience-driven. Mapping which buyer apps drive volume for which categories reveals audience intelligence unavailable elsewhere.
AUDIENCE SIGNAL

6 Fulfilment gap detection
When an ONDC order fails at the fulfilment layer — due to stock unavailability, pin code coverage gaps, or seller inactivity — these failure signals are detectable. Brands can identify competitor fulfilment weaknesses and fill market gaps before they close.
GAP SIGNAL

ONDC NETWORK PARTICIPANT LANDSCAPE

CATEGORY GROWTH VELOCITY ON ONDC

PRICE INTELLIGENCE — ONDC VS AMAZON VS FLIPKART

One of the most commercially significant findings from our ONDC scraping infrastructure is the systematic pricing gap between ONDC sellers and established closed-platform listings. For FMCG staples, ONDC sellers are consistently pricing 6–14% below Amazon and Flipkart equivalents — establishing new consumer price anchors in categories where branded manufacturers assumed pricing power was stable.

SIX COMPETITIVE OPPORTUNITIES BRANDS MUST ACT ON NOW

1. Map every competitor listed on ONDC before they scale
The ONDC seller onboarding velocity is accelerating — 7,400+ active seller NPs and growing 31% MoM. Brands that build a real-time competitor catalogue map now will have 6–12 months of first-mover intelligence before the market wakes up. Actowiz Solutions' ONDC seller scraping tools track new registrations, catalogue launches, and pin code expansions within 24 hours of activation.
→ Scraped signal: Seller catalogue + pin code coverage + category depth

2. Identify pricing floors before your category gets commoditised
Our scraped ONDC vs Amazon vs Flipkart price comparison shows ONDC sellers pricing 6–14% below closed-platform equivalents on FMCG staples. If you are a branded FMCG manufacturer, this is your early warning system: hyperlocal ONDC sellers are establishing new consumer price anchors in your categories, and you have a narrow window to respond with your own ONDC pricing strategy before the damage becomes permanent.
→ Scraped signal: Real-time SKU price across all ONDC seller NPs vs Amazon/Flipkart

3. Detect grey market and counterfeit listings before they erode brand equity
ONDC's open seller registration model — designed for speed and inclusivity — also creates a lower barrier for unauthorised resellers and counterfeit product listings. Actowiz Solutions' brand protection scraping tools monitor ONDC catalogues for unauthorised use of brand names, trademark infringement, and suspiciously underpriced listings that signal grey market activity. In the first month of monitoring one major D2C personal care brand, we detected 14 unauthorised reseller listings across 3 seller NPs.
→ Scraped signal: Brand name matching + price anomaly detection + seller NP audit

4. Track which buyer apps your target consumers are using
ONDC's multi-buyer-app architecture is a segmentation goldmine. Different buyer apps serve fundamentally different consumer profiles: Paytm ONDC skews urban, payment-intent, and basket-driven. Magicpin skews experience-led and restaurant-heavy. eSamudaay skews rural, kirana-adjacent, and value-conscious. Mapping which buyer apps your category performs best on — and where your competitors are prioritising — gives you audience intelligence that no consumer survey can match.
→ Scraped signal: Category GMV by buyer NP + order frequency + AOV patterns

5. Find the white-space pin codes your competitors have not reached
Every ONDC seller NP declares its serviceable pin codes in the network layer. Actowiz Solutions' geographic intelligence tools cross-map active seller coverage against India's 19,000+ pin codes to identify demand-supply gaps — specific geographies where consumer demand exists but no competitive seller has yet listed. These are your zero-competition launch markets, identifiable months before any closed-platform data source would surface them.
→ Scraped signal: Seller serviceable pin codes + buyer app demand density mapping

6. Monitor ONDC policy changes as competitive events
ONDC's network policy — including commission structures, category regulations, and seller NP eligibility criteria — evolves rapidly as the network matures. Each policy update reshapes the competitive landscape. Actowiz Solutions tracks ONDC governance updates, network specification changes, and seller NP onboarding policy shifts in real time, alerting brands when a regulatory change creates a competitive opening or risk in their category.
→ Scraped signal: Network specification monitoring + NP policy change alerts

INTELLIGENCE ROADMAP — HOW TO START SCRAPING ONDC

PHASE 1. WEEK 1–2
Catalogue baseline — Map all competitor seller NPs, extract full product catalogues, and establish pricing baselines across your category on every active buyer app.

PHASE 2. WEEK 3–4
Geographic coverage — Build a pin code coverage map for your category. Identify white-space geographies and flag competitor expansion vectors before they reach your markets.

PHASE 3. MONTH 2
Price & brand monitoring — Deploy continuous SKU price monitoring and brand protection alerts. Track grey market listings, pricing floor erosion, and MRP compliance across all seller NPs.

PHASE 4. ONGOING
Live intelligence dashboard — Integrate all ONDC data streams into a custom dashboard with daily refresh, competitive alerts, and trend forecasting built for your category and geography.

WHY ACTOWIZ SOLUTIONS IS BUILT FOR THIS

Actowiz Solutions has been building e-commerce data scraping infrastructure since the earliest days of India's digital commerce boom. Our proprietary ONDC scraping stack is purpose-built for the open network's unique architecture — handling ONDC's Beckn protocol API layer, multi-NP data reconciliation, and real-time catalogue change detection at a scale and speed that no generic web scraping tool can match.

Unlike closed-platform scraping — where data must be inferred from consumer-facing pages — ONDC's open protocol means that with the right infrastructure, structured seller and product data can be extracted directly from the network layer. This gives Actowiz Solutions' ONDC intelligence datasets a depth and accuracy that is genuinely unprecedented in the Indian market intelligence space. We are not scraping a website. We are reading the network.

Our ONDC intelligence datasets are already in use by FMCG brand teams conducting competitive pricing audits, by VC firms running due diligence on ONDC-native startups, and by market research agencies building India's first ONDC category benchmark reports. Every dataset is delivered as structured, API-ready output — clean, daily-refreshed, and integration-ready for your analytics stack.

Be the first brand with real ONDC competitive intelligence
Actowiz Solutions is India's only provider of structured ONDC data scraping services. Seller mapping, price monitoring, geographic intelligence and brand protection — live, daily-refreshed datasets built for the open commerce era. Custom datasets available for FMCG brands, investors, and market analysts.