Technopolis Product & Promotions Scraper

Technopolis Product & Promotions Scraper

Track weekly and monthly Technopolis promotions and collect the full product catalog — prices, old prices, specifications, brands, and images — in one clean, structured dataset. This scraper monitors the Technopolis online store (Bulgaria's leading electronics retailer), follows the weekly brochure and the monthly promotion brochure, and pulls complete product details from any category you choose. You can also specify your own category URLs and the scraper will parse them as well — scrape a single category, several at once, or the whole catalog. The result is ready-to-use data for price analysis, product management, and AI workflows — perfectly structured for LLM and RAG pipelines, dashboards, and reports.

Running on the Apify platform gives you scheduling, monitoring, proxy rotation, and one-click integrations, so you can keep an always-fresh feed of Technopolis prices and promotions with no maintenance on your side.

Features

• ⚡ Track weekly Technopolis brochure promotions automatically (paid plans)
• 🗓️ Track the monthly promotion brochure (paid plans)
• 💰 Collect current price and previous (old) price for every product
• 🏷️ Capture discounts and promotional items across the whole catalog
• 📦 Full product data — name, brand, category path, EAN, specifications, and images
• 🔁 Cheap recurring monitoring — repeat runs refresh prices without re-collecting everything
• 🧠 Clean, structured output ready for LLM, RAG, and AI workflows
• 🤖 Connect to AI agents and assistants through the Apify MCP server
• 📊 Perfect for product managers, price analysts, and market research
• 🌍 Scrape any category, or just the promotion brochures
• 📥 Export as JSON, CSV, or Excel, or pull straight into your tools via integrations

Why use the Technopolis Scraper?

• ✅ Track weekly brochure promotions — never miss a weekly offer
• ✅ Track the monthly brochure — capture every promotional campaign
• ✅ Collect current and old prices — ready-made input for price and discount analysis
• ✅ Get the full product catalog — specifications, brand, EAN, categories, and images
• ✅ Clean, structured data ready for LLM / RAG / AI workflows — feed it straight into your models
• ✅ Works with AI agents via MCP — call the scraper directly from Claude, ChatGPT, and other assistants
• ✅ Perfect for product managers and price analysts — no cleanup needed, just use it
• ✅ Build price history over time — schedule runs and watch prices move
• ✅ Recurring runs stay cheap — prices refresh without re-scraping full records
• ✅ Fully hands-off on Apify — scheduling, monitoring, proxies, and integrations included

How to use the Technopolis Scraper

1. Click Try for free / add the scraper to your Apify account.
2. In the Input tab, paste one or more category URLs from technopolis.bg, and/or turn on the weekly offers and monthly brochure toggles.
3. Optionally set a maximum number of items to keep a test run small and fast.
4. Click Start / Run.
5. When the run finishes, open the Output tab and download your data as JSON, CSV, or Excel — or connect it to your other tools.

That's it — no code, no setup, no maintenance.

Input

You can configure the scraper with a few simple options in the Input tab:

• Start URLs — the Technopolis category pages you want to scrape. Leave this empty only if you want the promotion brochures below (paid plans).
• Extract weekly brochure offers — turn on to collect every product in the current weekly promotion brochure. Available on paid plans only — ignored on the free tier.
• Extract the monthly brochure offers — turn on to collect every product in the monthly promotion brochure. Available on paid plans only — ignored on the free tier.
• Max items — stop the run after this many products (set to 0 for unlimited).
• Proxy configuration — optional proxy settings to keep runs reliable.

You can mix and match: scrape specific categories, only the brochures, or all of them together in a single run.

Input example

{
    "startUrls": [
        { "url": "https://www.technopolis.bg/bg/TV--Video-i-Gaming/Televizori/c/P11090104" }
    ],
    "getWeaklyOffers": true,
    "getMonthlyBrochure": false,
    "maxItems": 100,
    "proxyConfiguration": { "useApifyProxy": true }
}

Output

Every run produces a clean dataset where each row is one product, including its name, brand, category path, identifiers, current and previous price, specifications, and image links. Promotional items from the weekly and monthly brochures are included alongside their prices, so you can immediately see what is on offer and by how much.

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel, or access it through the Apify API and integrations for use in your own tools, spreadsheets, dashboards, or AI pipelines.

Output example

Each dataset item represents a single product:

{
    "name": "Аудио система JBL AUTHENTICS 300",
    "prod_id": "10861",
    "category": "TV, Аудио и Gaming|Аудио системи",
    "brand": "JBL",
    "eans": ["1200130000744"],
    "part_nums": ["JBLAUTH300BLKEP"],
    "price": "329.9",
    "old_price": "349.9",
    "images": [
        "https://api.technopolis.bg/medias/Product-details-main-10861.jpg"
    ],
    "specs_table": [
        { "key": "МОДЕЛ", "value": "AUTHENTICS 300" },
        { "key": "ТИП АУДИО СИСТЕМА", "value": "МИКРО" },
        { "key": "ОБЩА МОЩНОСТ", "value": "100 W" },
        { "key": "WI-FI", "value": "ДА" },
        { "key": "BLUETOOTH", "value": "ДА" },
        { "key": "ЦВЯТ", "value": "ЧЕРЕН" },
        { "key": "ГАРАНЦИЯ", "value": "24 МЕСЕЦА" }
    ]
}

When a product is not discounted, old_price is omitted (or empty). eans and part_nums are lists because a product can carry more than one identifier.

Use with AI agents (MCP)

This scraper works with the Model Context Protocol (MCP), so AI agents and assistants can run it and use its data directly. Through the Apify MCP server, tools like Claude, ChatGPT, and other MCP-compatible assistants can trigger the scraper, ask for Technopolis prices and promotions in plain language, and pull the results straight into a conversation or an automated workflow — no manual exporting needed. This makes it a natural fit for AI shopping assistants, price-monitoring agents, and RAG pipelines that need fresh, structured product data on demand.

Data table

Field	Description
Name	Product title as shown on Technopolis
Product ID	Unique product code used by the store
Category	Full category path the product belongs to
Brand	Manufacturer / brand name
EAN	Product barcode identifier(s)
Price	Current selling price (in EUR)
Old price	Previous price, when the product is discounted (in EUR)
Images	Links to the product images
Specifications	Full technical specification list (name and value pairs)

How much does it cost to scrape Technopolis?

Costs depend on how many products you collect and how often you run the scraper. A quick test with a small Max items limit costs very little, while a full catalog run is larger.

The scraper is built for affordable ongoing monitoring: after the first run, repeat runs mainly refresh prices instead of re-collecting every product from scratch, which keeps recurring price-tracking runs fast and cheap. New Apify accounts include free monthly usage credits, so you can try it at no cost.

Residential Proxy Usage & Estimated Cost Example

For example, the first time a brochure is processed, every product page must be visited to build the cache. After that, only the brochure itself is downloaded and product data is served from the cache until it expires (depending on your storage plan).

Scenario	Products	Estimated Cost ($8/GB)	Cost per Product
First crawl (cache miss)	500	~$0.12	~$0.00025
Subsequent crawl (cache hit)	500	~$0.02	~$0.00004

Example: Processing the same 500-product brochure after the cache has been built reduces proxy traffic by ~85%, resulting in significantly lower bandwidth usage, faster execution, and reduced residential proxy costs.

How caching works

• ✅ First crawl: Downloads every product page and stores the extracted data in the cache.
• ✅ Later crawls: Only the brochure page is fetched. Previously cached products are reused, while each cached product's current brochure price and promotional information are refreshed. Only new or previously uncached products require an additional product page request.
• ✅ Cached entries remain available until they expire according to your selected storage plan.

Note: Product details (name, images, specifications, etc.) are served from the cache, but prices are always updated from the latest brochure on every run, ensuring pricing remains current while minimizing residential proxy usage.

Free User Limitations

• Weekly and monthly brochure offers are paid-only. On the free tier the Extract weekly brochure offers and Extract the monthly brochure offers options are ignored. Normal category scraping via Start URLs works for everyone, free and paid.
• Brochure-only runs need a paid plan. If you provide no Start URLs and only enable the weekly/monthly brochures on a free plan, there is nothing to scrape — the run closes immediately with an informative status message. Add category Start URLs, or upgrade to a paid plan to fetch the weekly and monthly brochures.

Tips and advanced options

• Start with a small Max items value to preview the data before a full run.
• Combine category URLs with the weekly and monthly brochure toggles to get exactly the coverage you need.
• Schedule the scraper to run daily or weekly to build a price history and spot trends and discounts over time.
• Enable proxy for the most reliable large runs.
• Use the weekly and monthly brochure options on their own for a focused, lightweight promotions feed.

FAQ, disclaimers, and support

In what language and currency is the data? Product names, categories, and specifications are in Bulgarian, matching the source store, and prices are in EUR.

Something looks off or missing? Use the Issues tab to report a problem or request a feature — feedback is welcome and helps improve the scraper.

Need a custom solution? If you need extra fields, a different site, or a tailored data feed, custom scraping solutions can be arranged.

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