MANAGED WEB SCRAPING

Data on schedule.
Infrastructure on us.

// THE SHORT ANSWER

Managed web scraping is a done-for-you data service: iWeb Data Scraping builds, runs, monitors and maintains the scrapers for the platforms you choose, and delivers QA-verified structured data — 99%+ field accuracy, audited monthly — as CSV, JSON, API or direct warehouse feeds. Your team defines platforms, fields and refresh schedule; we handle proxies, anti-bot changes and breakage recovery 24/7. Typical projects go from NDA call to live production feed in under two weeks.

Get free sample in 48h See delivery specs
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Refresh: Hourly, daily, weekly — per-field schedules supported
  • Formats: CSV, JSON/JSONL, Parquet · API, webhooks, S3/GCS, Snowflake, BigQuery, PostgreSQL
  • Accuracy Sla: 99%+ field accuracy target, monthly sampled audits with reports
  • Scale: From 1 platform to marketplace-wide; largest feeds cover 40+ cities hourly

Every scraping project has two halves: the extraction logic (a week of work) and the operations problem (forever). Target platforms change layouts, rotate anti-bot systems and expand to new cities without notice — and each change silently breaks a parser. Managed web scraping exists so that operations problem is ours, permanently.

You get a feed contract, not a codebase: named platforms, defined fields, a refresh schedule and an accuracy SLA. Behind it, a dedicated account engineer, 24/7 monitoring with automatic breakage recovery, and monthly accuracy audits you can show procurement. If you're weighing this against building internally, our build-vs-buy cost breakdown does the line-item math.

WHAT'S INCLUDED

Everything between
the website and your dashboard.

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Custom extraction, any platform

E-commerce, quick commerce, food delivery, travel, real estate — web or app. If a customer can see it, we can structure it.

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QA-verified accuracy

Field-level checks on every batch, monthly audits sampling records against the live source. Target: 99%+ accuracy, reported, not claimed.

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24/7 monitoring & self-healing

Layout changes and anti-bot rotations detected and fixed by our on-call engineers — usually before your next refresh window.

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Product & entity matching

The same SKU matched across platforms and sellers, so 'compare prices' is one join, not a research project.

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Delivery into your stack

CSV/JSON to S3 or GCS, REST API, webhooks, or direct to Snowflake, BigQuery and PostgreSQL.

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Dedicated account engineer

A named human who knows your schema, answers in hours, and joins your QBR with the accuracy report.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Quick-commerce price feed — one row per SKU, per city, per capture.
product platform city price mrp in_stock captured_at
Amul Gold Milk 500ml Blinkit Mumbai 34.00 36.00 yes 2026-07-08 09:00
Amul Gold Milk 500ml Zepto Mumbai 33.00 36.00 yes 2026-07-08 09:00
Amul Gold Milk 500ml Instamart Delhi 35.00 36.00 no 2026-07-08 09:00
Tata Salt 1kg Blinkit Bengaluru 28.00 30.00 yes 2026-07-08 09:00
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
DELIVERY SPECS

The details procurement asks for.

REFRESH Hourly, daily, weekly — per-field schedules supported
FORMATS CSV, JSON/JSONL, Parquet · API, webhooks, S3/GCS, Snowflake, BigQuery, PostgreSQL
ACCURACY SLA 99%+ field accuracy target, monthly sampled audits with reports
SCALE From 1 platform to marketplace-wide; largest feeds cover 40+ cities hourly
TIMELINE Free sample in 48h · pilot in ~1 week · production in under 2 weeks
PRICING From ~$500–$1,500/month per platform, scaling with volume & frequency
COMPLIANCE Public data only · PII-scrubbed · ISO 9001 & 27001 processes · NDA-first

Every engagement is NDA-first and starts with a free sample — judge the data before any commitment.

THE HONEST COMPARISON

Why a data layer, not a DIY script or a rigid tool

In-house DIY Generic SaaS tool iWeb Data Scraping
Setup & maintenance You build scrapers, fight anti-bot, fix breakages weekly Rigid templates, breaks on site changes, slow support Fully managed — we build, monitor and fix, you never touch a proxy
Data quality Best-effort, no QA layer, silent failures Generic parsers, frequent gaps 99%+ field accuracy, QA-verified, monitored 24/7
Coverage Limited to what you can maintain Only supported sites Any public site or app, at scale
Compliance Your legal risk to manage alone Often opaque about methods ISO-certified, PII-scrubbed, NDA-first, documented
Time to value Weeks to months of engineering Fast but inflexible Free sample in 48h, production in days
WHO USES THIS

Built for the person
who owns the number.

PRICING ANALYST · E-COMMERCE

Competitor prices into the repricer

Hourly prices and promos for matched SKUs, pushed straight into pricing engines and BI — the engine room behind our price intelligence solution.

CATEGORY MANAGER · FMCG

Quick-commerce shelf, city by city

Pincode-level pricing and availability across dark-store apps — the feed behind a 6.2% margin recovery case.

INSIGHTS LEAD · RESEARCH

Recurring market panels

Same schema, every week, no gaps — panels your analysts trust enough to put in client decks.

RELATED:Enterprise Web Crawling →Scraping API →Price Intelligence →
FAQ

Before the first call.

Everything between the target website and your dashboard: scraper development, proxy and anti-bot management, 24/7 monitoring, breakage recovery, field-level QA, monthly accuracy audits, and delivery into your preferred format or warehouse — plus a dedicated account engineer as your single point of contact.

Three variables: number of platforms, data volume per refresh, and refresh frequency. Single-platform daily feeds typically start around $500–$1,500/month; hourly multi-city programs scale from there. We quote precisely after the free requirement call and sample.

Our monitoring detects structural changes and field-level anomalies automatically; on-call engineers fix parsers, usually within the same refresh cycle. You see it, if at all, as a note in the monthly report — not as a gap in your dashboard.

Yes — product and entity matching is built in. We match SKUs across platforms and sellers using identifiers, titles, attributes and images, so cross-platform price comparison arrives as a ready join, not a data-science project on your side.

Get a free sample dataset in 48 hours.