E-commerce & Quick Commerce

Instamart Scraper API

Swiggy Instamart pricing, availability and catalog - the third leg of your quick-commerce picture.

From $15/mo · 1,000 free API calls to start · see pricing

BOOK A SCOPING CALL ALL READY APIS
scrapeguys · instamart · sample response
{ "source": "instamart", "query": "amul butter 500g", "zone": "HSR Layout", "price": 289, "in_stock": true, "eta_min": 11 }
What you can extract

Structured, ready to use

  • Prices & offers
  • Availability by zone
  • Delivery ETAs
  • Catalog & pack sizes
  • Category rankings
  • Banner & promo tracking
Example schema
FieldTypeExample
sourcestring"instamart"
querystring"amul butter 500g"
zonestring"HSR Layout"
pricenumber289
in_stockbooleantrue
eta_minnumber11

The full schema is customized to your workflow on the scoping call.

example request · async jobs API
curl -X POST https://api.scrapeguys.com/v1/jobs \
  -H "X-API-Key: $SCRAPEGUYS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"target": "instamart", "params": {"query": "bread", "pincode": "560034"}}'

Illustrative request - field names and params for your deployment are fixed on the scoping call and documented in your workspace. Full request/response reference: API docs.

Use cases

What teams build on this

Pincode-level monitoring

Dark-store availability and delivery ETAs by pincode.

Price & promo tracking

Discounts, bundles and surge behaviour across zones.

Quick-commerce share

Catalog and ranking movement across the QC platforms.

Guides & answers: Quick commerce data Q&A · What is a web scraping API?

How it works

Scoped, built and operated for you

1

Scoping call

Fields, cadence, geography - shaped to your workflow. Docs & samples shared here.

2

We operate it

Anti-bot, proxies, parsing, monitoring - managed and SLA-backed on our side.

3

Clean JSON in

Async job API, BI feed, dashboard or MCP - one schema, your stack.

FAQ

Frequently asked questions

Can you track prices at pincode or dark-store level?
Yes. Price, stock, offers and delivery promise are captured per pincode and dark store, on your cadence - the same SKU is often live in one zone and out of stock in the next, and the feed shows exactly that. Most clients run priority SKUs intraday and the long tail daily.
Do you capture the final payable price including fees?
Yes. Item price, MRP, discounts plus delivery, small-cart and surge fees where shown - the checkout total is the real comparison between quick-commerce apps, not the item price.
How fast can quick-commerce data be refreshed?
Hourly where it matters. Quick-commerce availability decays in hours, so priority SKUs are typically checked multiple times a day; full-catalog sweeps run daily.
How do I get the API documentation and a data sample?
API documentation is public at scrapeguys.com/docs - request format, response schemas, status codes and worked examples. For a sample dataset on your exact targets, book a short scoping call: each deployment is customized to your schema, fields and volumes, and most teams have a sample in hand within a day.
How fast can this go live for us?
A scoped deployment typically goes live as a production API in 48-72 hours. That includes the scraper itself, a wrapper API shaped to your workflow, custom fields added to the response, monitoring and alerting on our side, and a staging key so your team can validate the schema before production traffic starts.
How is the data delivered - do we have to integrate an API?
An API is one option, not a requirement. The same data layer ships as REST JSON APIs with async jobs and webhooks, scheduled exports into Power BI, Looker, Snowflake, BigQuery or Google Sheets, a white-label dashboard your team signs into with zero integration, or MCP tools your AI agents call live. You can mix channels - API for engineering, dashboard for the commercial team - on one deployment.
What happens when the target site changes or a scrape fails?
That is our problem, not yours. Every source is monitored around the clock - layout changes, anti-bot updates and success-rate drops page our engineers before they page you, and your field names stay stable through redesigns because we absorb the change behind the schema. Failed requests are retried automatically, and anything that still fails is not billed: pricing is success-based.

Need Instamart data in production?

A 20-minute scoping call gets you documentation, samples and a timeline - most deployments are live in 48-72 hours.

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