Flanco Scraper

Scrapes electronics and appliances from Flanco.ro, one of Romania's largest consumer electronics chains with 150+ stores.

How it works

Navigates category and search result pages, collects product links, and visits detail pages for JSON-LD structured data. Handles Romanian price formatting and LEI (RON) currency.

Input

Field	Type	Required	Description
categoryUrl	String	No	Flanco category URL
searchQuery	String	No	e.g. "laptop", "frigider"
maxResults	Integer	No	Default: 100
proxyConfiguration	Object	No	Proxy settings

Output

Field	Type	Example
name	String	"Televizor LED Samsung 55AU7172"
brand	String	"Samsung"
price	Number	1999.99
currency	String	"RON"
originalPrice	Number	2499.99
ean	String	"8806094457896"
sku	String	"UE55AU7172UXXH"
productId	String	"FLC-2847519"
inStock	Boolean	true
rating	Number	4.3
reviewCount	Number	45
imageUrl	String	Product image
description	String	Product details
categories	Array	["TV", "Smart TV"]

Cost

~1 CU per 1,000 products.

Notes

• Romanian-language content, prices in RON
• Flanco is part of the Altex group
• JSON-LD extraction with HTML fallback for breadcrumbs, specs, and images
• Category pages paginate automatically

Why use Flanco Scraper

• Price monitoring — Track prices, stock, and promotions across Flanco at scale
• Competitive intelligence — Compare your catalog against Flanco pricing and assortment
• Market research — Analyze category trends, new arrivals, and rating distributions
• Lead generation — Build product datasets for affiliate sites, comparison tools, or feeds
• No login or cookies required — Authenticated access not needed; works out of the box

How to use Flanco Scraper

1. Open the Input tab and provide a search query, category URL, or product list
2. Adjust optional filters such as maxResults or proxy settings
3. Click Start and wait for the run to complete
4. Download results from the Output tab in JSON, CSV, Excel, XML, or HTML
5. Schedule recurring runs from the Schedule tab if you need ongoing data

How to scrape Flanco data

This Actor automates the process of extracting structured product data from Flanco. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles pagination, retries, and rate limiting so you can focus on the data, not the plumbing.

Typical workflows:

• One-off export: paste a category URL or keyword, set maxResults, and run
• Scheduled monitoring: set a daily cron in the Schedule tab to track prices over time
• Programmatic integration: trigger runs from your backend via the Apify API and pull the dataset when finished
• Webhook automation: receive a callback the moment a run completes and pipe the results into Zapier, Make, n8n, BigQuery, or Google Sheets

Tips for best results

• Start small — run with maxResults: 10 before launching large jobs
• Use proxies — residential proxies reduce blocking on protected sites
• Throttle on big jobs — keep maxConcurrency modest (5–10) for stability
• Schedule runs — daily runs are usually enough for price monitoring
• Inspect the dataset schema — the Storage tab shows the full output structure

FAQ and support

Is it legal to scrape Flanco? This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits.

Why am I getting fewer results than expected? Some categories have hidden pagination or load more on scroll. Increase maxResults and verify your filters.

Can I extract data for a single product? Yes — provide the full product URL in startUrls and the scraper will return one item.

The site blocks me — what should I do? Enable Apify residential proxies in the input. Datacenter IPs are blocked by many e-commerce sites.

For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support@apify.com. We monitor every actor and ship fixes quickly when sites change.