Pricing

from $1.00 / 1,000 results

2dehands.be Classifieds Scraper (Belgium)

Scrape Belgian classified ads from 2dehands.be by search URL: title, price, location, date, seller, category. Export JSON/CSV/Excel.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

lysum

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

🇧🇪 2dehands.be Classifieds Scraper

Scrape classified ads from 2dehands.be (Belgium) by search URL — fast, reliable, and pay-per-result. Paste one or more 2dehands.be search-result URLs and export clean structured data as JSON, CSV, or Excel, or pull it via the Apify API.

What it does

Give it a 2dehands.be search URL (with whatever filters you set on the site) and it returns one row per listing with:

title
price (EUR, or text like 'Bieden')
location
date
seller
category
ad type
image
ad URL

It handles pagination automatically, deduplicates by listing URL, and runs behind an Apify residential Belgium proxy to avoid datacenter-IP blocking.

How to use it

Go to 2dehands.be, apply the filters you want (location, price, category, …).
Copy the resulting search-result URL.
Paste it into Search URLs, set Max listings, and click Start.

Example input

{
  "startUrls": [{ "url": "https://www.2dehands.be/l/auto-s/" }],
  "maxItems": 100
}

Output

Each item is a flat JSON object with the fields listed above, plus the source search URL and a scrape timestamp — ready for spreadsheets, databases, market analysis, or lead generation.

Notes

Some prices are non-numeric ('Zie omschrijving', 'Bieden') — kept verbatim in priceText with priceEur null. Exact timestamps and full descriptions are detail-page only.
Keep the residential Belgium proxy enabled (prefilled). A run that suddenly returns 0 items usually means IP blocking, not broken selectors.
This Actor collects only publicly available listing data. Use responsibly and in line with 2dehands.be's terms and applicable law.

Pricing

Pay-per-result — you're charged per listing returned. Run a small maxItems first to preview the data before scaling up.

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