USE CASES
Seven jobs, one pipeline.
AuraCrawl engagements look different on the surface — review corpora, price feeds, agent perception layers — but they run the same three stages underneath. Here is what teams actually ask us for.
Review Intelligence
Reviews are the highest-signal customer data most companies never collect systematically. AuraCrawl extracts review text, ratings, and metadata from marketplaces, app listings, and local directories on a schedule — so sentiment analysis works from complete data, not samples. New reviews arrive as structured records, ready for your models.
IN PRACTICE
Track every new review across 40 restaurant listings nightly, flagged for sentiment shifts.
E-commerce Intelligence
Pricing, assortment, and availability move daily on Indian marketplaces and quick-commerce apps — and they move by pincode, not nationally. AuraCrawl collects SKU-level data from Amazon.in, Flipkart, Blinkit, Zepto, and Instamart per catchment area, normalized so cross-platform comparison needs no cleanup. Price history, stock-outs, and assortment gaps become queryable tables.
IN PRACTICE
Match 1,200 SKUs across three quick-commerce apps nightly, per pincode, with stock-out alerts.
Market Research
Public web data answers market questions faster than panels and surveys — if you can collect it at scale. AuraCrawl builds research datasets from listings, directories, forums, and public filings surfaces, delivered as clean tables your analysts query directly. Scope it once, then refresh it on whatever cadence the study demands.
IN PRACTICE
Build a rental-price index across 12 Bengaluru localities, refreshed weekly from three portals.
Competitor Monitoring
Competitors signal constantly: price changes, new hires, product launches, shifting ad copy. AuraCrawl watches their public surfaces on a schedule and delivers deltas — what changed, when, and where — instead of raw pages your team has to diff. Alerts become a field in a record, not a manual sweep.
IN PRACTICE
Alert on any price change across a competitor's 400-SKU catalog within one hour of it going live.
AI Agents
Agents that act on the web need fresh, structured observations of it — and they fail quietly when a scraper returns HTML soup. AuraCrawl supplies the perception layer: you describe the data your agent needs, we deliver validated JSON on demand or on schedule. When a target hardens its defenses or changes layout, we adapt before your agent notices.
IN PRACTICE
Feed a procurement agent live prices and stock status from 15 vendor portals, validated on every run.
RAG Pipelines
A RAG system is only as current as its corpus. AuraCrawl keeps retrieval corpora fresh by extracting clean text and metadata from documentation sites, forums, listings, and knowledge bases on a schedule — chunked and structured the way your pipeline expects it. No boilerplate, no nav bars, no broken extractions polluting the index.
IN PRACTICE
Refresh a support-bot corpus nightly from four product documentation sites, chunked and deduplicated.
Lead & Data Enrichment
CRM records decay fast, and enrichment vendors resell the same aging databases. AuraCrawl enriches from the live public web instead: company details, hiring signals, locations, and contact surfaces collected on demand from primary sources. Your records reflect what companies publish today, not what a database bought last year.
IN PRACTICE
Enrich 10,000 CRM accounts monthly with headcount, hiring velocity, and locations from public sources.
SOMETHING ELSE
Your use case is not on this list
These seven are the patterns we see most, not the boundary of what the pipeline does. If your problem starts with “we need data from these pages, reliably, on this schedule” — it is in scope.
SELF-SERVE API
Coming soon.
We are building an API so smaller jobs will not need a call with us first. It is not ready yet, and we would rather say that here than after you sign up. For now, every project starts with an email.
Scope the engagement around your use case.
Tell us the sources, the fields, and the cadence. An engineer replies with a plan and a sample before anything is signed.