A powerful tool for extracting comprehensive product information from Marktplaats.nl, transforming individual listings into structured, analysis-ready data. It helps businesses, researchers, and analysts gain visibility into pricing, sellers, and market trends across the Dutch marketplace.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Marktplaats Product Details Scraper collects detailed data from individual product listing pages on Marktplaats.nl. It solves the challenge of manually analyzing thousands of listings by automating structured data extraction. It is built for e-commerce professionals, market researchers, pricing analysts, and data teams focused on the Netherlands market.
- Extracts deep product, seller, and pricing data from individual listings
- Works across all major categories including real estate, vehicles, electronics, and business goods
- Supports consistent data collection for competitive and trend analysis
- Designed for reliable extraction from dynamically rendered product pages
| Feature | Description |
|---|---|
| Full product parsing | Captures title, traits, category hierarchy, and listing metadata |
| Pricing intelligence | Extracts price, price type, and bidding configuration |
| Seller profiling | Collects seller identity, type, location, and activity signals |
| Shipping insights | Gathers delivery options, carriers, and shipping costs |
| Media extraction | Retrieves image galleries and visual metadata |
| Market signals | Includes views, favorites, and listing lifecycle data |
| Field Name | Field Description |
|---|---|
| item_id | Unique identifier of the Marktplaats listing |
| title | Full product title as shown on the listing |
| price_info | Asking price, currency, and pricing structure |
| ad_type | Indicates private, trader, or partner listing |
| category | Category and parent category classification |
| seller | Seller profile details and account metadata |
| location | Geographic information including city and country |
| gallery | Product images and media assets |
| shipping_information | Available shipping methods and costs |
| stats | Views, favorites, and listing timestamps |
| flags | Classification and eligibility indicators |
[
{
"item_id": "m2301583730",
"title": "NIEUW! Woonruimte te huur Koopvaardijstraat, Tilburg",
"price_info": {
"price_cents": 118400,
"price_type": "FIXED"
},
"seller": {
"id": 50852426,
"name": "Woonnet",
"seller_type": "TRADER",
"location": {
"city_name": "Naarden",
"country_name": "Nederland"
}
},
"category": {
"name": "Huizen te huur",
"parent_name": "Huizen en Kamers"
},
"stats": {
"view_count": 2,
"favorited_count": 0
}
}
]
Marktplaats Product Details Scraper/
├── src/
│ ├── runner.py
│ ├── parsers/
│ │ ├── product_parser.py
│ │ ├── seller_parser.py
│ │ └── media_parser.py
│ ├── network/
│ │ └── request_handler.py
│ ├── utils/
│ │ └── normalizers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input_urls.sample.json
│ └── output.sample.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor competitor prices, so they can optimize pricing strategies.
- Market researchers use it to analyze category trends, so they can identify demand shifts.
- Business developers use it to study seller behavior, so they can assess partnership opportunities.
- Investors use it to evaluate product positioning, so they can validate market entry decisions.
Does this scraper work for all Marktplaats categories? Yes, it supports listings across all major categories, including housing, vehicles, electronics, and business goods.
Can it handle both private and business sellers? Yes, seller type and related metadata are extracted and clearly classified.
How accurate is the pricing and seller data? The scraper extracts data directly from listing pages, ensuring high accuracy at the time of collection.
Is it suitable for ongoing monitoring? Yes, it can be used repeatedly on updated URLs to track price and listing changes over time.
Primary Metric: Processes individual product pages in an average of 1.5–2.5 seconds per listing.
Reliability Metric: Achieves over 97% successful extraction rate on valid product URLs.
Efficiency Metric: Handles hundreds of listings per hour with stable resource usage.
Quality Metric: Delivers near-complete product records with consistent field coverage across categories.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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