A client needing a deployable Apify Python/Playwright Actor to scrape all product categories from IGA's online grocery store — name, price, and real image URL — reliably on the Apify cloud.

Industry

Grocery • E-commerce Data

Region

Canada

Stack

Apify Actor • Python • Playwright

Output

CSV + Apify Dataset

All

Grocery Categories

Apify

Cloud-Deployable Actor

CSV +

Apify Dataset

Deduplicated

Clean Product Rows

Contact Sales

Client Overview

The client needed a robust, production-grade scraper for IGA's online grocery store, built specifically as an Apify Actor in Python using Playwright. The goal was to extract every product from every grocery category and subcategory on the site — capturing product name (Nom), price (Prix), and the real product image URL (not a placeholder).

The deliverable was not just data but a deployable, reusable Actor — complete with the correct project files — that runs reliably on the Apify cloud so the client can re-run it whenever needed.

The Challenge

Dynamic, lazy-loaded content. Products load via scrolling and lazy-loaded images (src, data-src, srcset), so simple HTML fetches miss most of the catalog.
Deep category navigation. The full category and subcategory tree had to be discovered via the sidebar/flyout menu and traversed completely.
Long page loads. Some pages take 60–80 seconds to load, demanding robust waits and retries.
Pagination & duplicates. Category pages paginate, and products can repeat across pages — requiring pagination handling and de-duplication.
Real images only. Placeholder images had to be avoided; the genuine product image URL captured.
Production-grade delivery. It had to be a fully functional Apify Actor with correct project files, running reliably headless on Apify cloud.

The Solution by Actowiz Solutions

Actowiz built a resilient Apify Actor in Python with Playwright, engineered around IGA's dynamic rendering and delivered with the full Apify project structure.

What the Actor Does

Category discovery. Navigates the root grocery page and interacts with the sidebar/flyout menu to enumerate every category and subcategory.
Full product loading. Scrolls and waits on each category page until all products load, handling 60–80-second load times gracefully.
Robust extraction. Captures Nom, Prix, and the real image URL, resolving lazy-loaded images from src / data-src / srcset.
Pagination & dedup. Handles pagination at the bottom of category pages and removes duplicates across pages.
Structured output. Writes products_iga.csv and saves to the Apify Dataset; category name stored on every product row, with optional per-category export.
Progress logging. Logs category names and product counts for visibility during runs.

Deliverables & Technical Structure

Component	Detail
main.py	Playwright-based Actor logic — navigation, scrolling, extraction, pagination
requirements.txt	Python dependencies for reproducible builds
.actor/actor.json	Apify Actor configuration
products_iga.csv	Primary output — all products across categories
Apify Dataset	Structured dataset output on the Apify platform
Per-category export	Optional separate CSV/JSON per category

Fields Extracted

Field	Description
Nom (Name)	Product name
Prix (Price)	Product price
Image	Real product image URL (not placeholder)
Category	Category/subcategory the product belongs to

Quality Assurance

Validation Check	Rule Applied
Category completeness	Every category and subcategory traversed
Full product load	Scroll/wait confirmed all products rendered before extraction
Real image capture	Genuine image URL resolved from src/data-src/srcset; no placeholders
Deduplication	No duplicate products across pages
Cloud reliability	Actor validated to run reliably headless on Apify cloud
Output integrity	products_iga.csv and Dataset aligned; category on every row

Results & Business Impact

Complete catalog capture. Every product across all IGA categories extracted, despite heavy dynamic loading.
Reusable, deployable Actor. A production-grade Apify Actor the client can re-run on demand from the cloud.
Clean, real-image data. Genuine product images and deduplicated rows produced trustworthy output.
Operational visibility. Progress logs made large runs transparent and easy to monitor.

Why the Client Chose Actowiz Solutions

Apify + Playwright expertise. A production Actor built to platform standards, not a one-off script.
Dynamic-site resilience. Scrolling, long waits, and lazy-image handling engineered in.
Correct project structure. main.py, requirements.txt, and .actor/actor.json delivered and cloud-ready.
Clean, deduplicated output. CSV and Dataset with category on every row.

Project at a Glance

Metric	Value
Industry	Grocery • E-commerce Data
Region	Canada
Target	IGA online grocery — all categories
Stack	Apify Actor • Python • Playwright
Fields	Nom, Prix, Image (real URL), Category
Edge Cases	Lazy images, 60–80s loads, pagination, duplicates
Deliverables	main.py, requirements.txt, .actor/actor.json, products_iga.csv, Dataset
Deployment	Runs reliably on Apify cloud (headless)

Client Feedback

"It's a proper Apify Actor, not a fragile script — it walks every category, waits out the slow pages, grabs the real images, and drops a clean CSV plus the Dataset. I can re-run it from the cloud whenever I need fresh data."

— Developer / Data Lead, Client Team

Need a custom data pipeline for your platform?

Actowiz Solutions designs custom, large-scale scraping, extraction, and delivery pipelines with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

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