NEW 2026

GCC Quick Commerce

Talabat · Careem Quik · Noon Minutes — live pricing across Dubai, Riyadh, Abu Dhabi & Jeddah. 18 GCC cities.

Launch Demo →
HOT

KitchenIntel

Cloud kitchen market gaps, ghost-kitchen tracking & strategy simulator. Plans from ₹9,999/mo.

See Pricing →

UK Grocery Price Tracker

Tesco · Sainsbury's · Asda · Morrisons · Aldi — daily price comparison across all major UK grocers.

Get Early Access →
11+Dashboards
99.9%Accuracy
Want THIS view for your brand · your city · your category? Custom dashboard in 7 days. Free Consultation →
Market · India

Web Scraping Services in India

Managed collection from our own base, with pincode-level granularity and DPDP Act handling.

Actowiz Solutions provides managed web scraping services to businesses in India across quick commerce, marketplace and grocery retail, agricultural mandi pricing, education, recruitment and automotive sources. India is where we are based and where our coverage is deepest, including pincode-level collection across metro delivery zones.

India is the market where national figures are most misleading and where we can do the most about it. Quick commerce catalogues are selected per pincode, mandi prices are quoted in native units by grade, and fee data sits inside PDF prospectuses. All three reward local knowledge, which is the one advantage of being here.

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

Where we are

Our development hub is here: Near Indraprastha Business Park, Makarba Sarkhej Roza Rd, Makarba, Ahmedabad, Gujarat 380051. We also have a US office in Albany, New York.

Visitors are welcome — several Indian clients have visited before contracting, and we would encourage it. Sales: +91 88666 56657.

India is the one market where same-timezone working and on-site meetings are standard rather than an accommodation.

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
India specifics

What is different about working in India

The compliance regime, the sources and the practicalities that shape how an engagement here is actually scoped.

Privacy regime
DPDP Act 2023 and its rules, with sector guidance from RBI, IRDAI and others where applicable
Our position
No personal data resale. Registry-anchored B2B data with documented lawful basis
Distinctive here
Pincode-level q-commerce, 8,000+ mandi markets, 90,000+ education institutions
Support hours
Same timezone — we are here, with on-site meetings available
Contracting
INR invoicing with GST, DPDP-aligned agreements, written methodology document before signature
Where we are
Makarba, Ahmedabad — our own office, visitors welcome
Demand pattern

Most requested services in India

Ranked by how often India clients ask for them, with the market reason behind each.

  1. Quick commerce data →

    The deepest quick commerce market globally, with genuine pincode-level catalogue variation across Blinkit, Zepto and Instamart.

  2. Agriculture & commodity data →

    8,000+ mandi and wholesale markets publishing daily prices and arrivals — the richest physical market data available anywhere.

  3. Education & EdTech data →

    90,000+ institutions with most fee data locked inside PDF prospectuses, which is where the extraction work actually sits.

  4. Ecommerce data scraping →

    Extreme SKU proliferation and constant marketplace seller churn, which pushes teams toward managed collection earlier than in other markets.

These are the most common starting points, not a limit. All services are available in India.

Why pincode-level collection is not optional in Indian quick commerce

India has the deepest quick commerce market in the world, and it is also the market where national data is most misleading. Dark store catalogues are selected locally, which means there is no national catalogue to collect.

What varies by pincode, simultaneously

  • Assortment. A SKU listed in one zone is genuinely absent in the next — never ranged, not out of stock.
  • Price. Platforms increasingly price by zone, reflecting local competition and dark store economics.
  • Stock. Dark stores hold hours of cover, so stock-outs are frequent, short and zone-specific.
  • Delivery promise and fees. Displayed minutes, handling fees and surge fees all shift by zone and by hour.
  • Shelf position. Category ordering and sponsored placement differ per zone, so share of shelf is a local metric.

The most consequential design point: listed and in_stock must be separate fields. We have seen brands escalate a 40% "unavailability" figure to supply chain and spend weeks discovering most of the gap was zones where the SKU was never ranged — a category problem, not a replenishment problem. Full detail in quick commerce data.

Mandi data, native units, and why conversion destroys meaning

India publishes agricultural price and arrivals data from thousands of regulated wholesale markets. It is among the most valuable physical market datasets in the world, and it is routinely damaged by well-intentioned normalisation.

The conversion trap

Mandis quote in native units — quintal, maund, bag, crate — and for specific grades and varieties. Converting everything to per-kilogram looks helpful and quietly discards grade and packing context, making cross-market comparison unreliable rather than easier.

What we do instead

  • Native units retained on every record, with conversion factors supplied separately so you control normalisation.
  • Grade and variety captured as published, since price differences between grades are often larger than between markets.
  • Arrivals volume collected alongside price, because arrivals frequently move before price does — making it a leading rather than lagging signal.
  • Explicit no-trade records rather than silent gaps or carried-forward prices. A market that did not trade is information, not missing data.

See agriculture and commodity data for the full schema.

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

Before you commit to anything, we run collection against your own India sources and send you the output. If the coverage is not there, the sample shows you that too — which is the point of running it first.

  • Real extraction from your actual sources
  • Returned inside two business days
  • 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.

Service commitments are identical in every market

Pilot within 24 hours, production live in 5–10 business days, 99.5% on-schedule delivery measured monthly, source breakage triaged the same business day, schema validation plus sampled human QA on every run, a named engineer rather than a ticket queue, and full historical export on request with no exit fee. These are contractual and appear in the engagement document.

See the full commitment table →

FAQ

Web scraping in India: frequently asked questions

Including the questions about where we are based and how compliance is handled.

Near Indraprastha Business Park, Makarba Sarkhej Roza Rd, Makarba, Ahmedabad, Gujarat 380051. This is our own office and visitors are welcome — several Indian clients have visited before contracting, and we would encourage it.

India is the one market where we can offer on-site meetings and same-timezone working as standard rather than as an accommodation.

Our exclusions remove most personal data before the question arises: no personal data resale, no patient data, no reviewer profiles, and B2B contact data only where registry-anchored with a documented lawful basis.

Where any personal data is in scope, we document the basis, provide a DPDP-aligned agreement and operate a workable deletion and suppression process. Sector guidance from RBI, IRDAI and others applies on top for regulated clients, and we scope against it rather than assuming general rules suffice.

Blinkit, Zepto, Swiggy Instamart, BigBasket and JioMart Express; Amazon.in, Flipkart, Myntra, Ajio and Nykaa; DMart and Reliance Retail; Swiggy and Zomato; 99acres, MagicBricks and Housing.com; Cars24, Spinny and CardDekho; PharmEasy, Netmeds, 1mg and Apollo; Croma and Reliance Digital; Jio, Airtel and Vi; Agmarknet and state mandi boards; CPPP and GeM; Naukri, Foundit and TimesJobs.

Coverage is built to your list rather than from a fixed catalogue.

Yes. INR invoicing with GST is standard for Indian clients, and contracting follows Indian norms including standard payment terms.

For clients requiring USD invoicing through an overseas entity, that is also available — worth mentioning on the scoping call so the contracting path is settled early.

Usually far fewer than clients first assume. Cost scales with pincodes times SKUs times frequency, and 500 SKUs across 1,800 pincodes hourly is roughly nine times the cost of the same SKUs across a well-chosen 200.

We design the zone set around revenue-weighted metros, sample one pincode per dark store cluster to remove redundancy, deliberately include income-tier variation, and add a rotating low-frequency sweep to validate the dense sample. That design conversation happens before we quote.

Yes, for the major regional languages where sources publish in them — particularly relevant for mandi data, government portals and education institution sites.

Original text is retained with translation for filtering. For mandi data specifically, commodity and variety naming conventions differ by state, and mapping those to a consistent taxonomy is a meaningful part of the work rather than an afterthought.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

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!"
TG
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."
II
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."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

EU AI Act for Data Teams: What Scrapers Must Change in 2026

The EU AI Act impact on web scraping & AI training data GPAI transparency, copyright reservations, prohibited practices & a compliance checklist from Actowiz.

thumb
Case Study

B2B Supplier Automates Government Tender Discovery from GeM & eProcure

How a B2B supplier replaced manual tender-portal checking with an automated, filtered feed of relevant government tenders from GeM and CPP/eProcure never missing a bid deadline again.

thumb
Report

FIFA World Cup 2026 Aftermath: Hotel & Airfare Normalization in Host Cities (Data Study)

Actowiz Solutions tracks post–World Cup 2026 travel pricing — hotel ADR & airfare normalization across host cities, event-premium decay data & lessons for travel teams.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.
Get in Touch
Let's Talk About
Your Data Needs
Tell us what data you need — we'll scope it for free and share a sample within hours.
  • icons
    Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
  • icons
    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
  • icons
    US-Based SupportOffices in New York & California. Aligned with your timezone.
  • icons
    ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.
Request Free Sample Data
Fill the form below — our team will reach out within 2 hours.
+1
Free 500-row sample · No credit card · Response within 2 hours

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1
Free 500-row sample · No credit card · Response within 2 hours