Kleinanzeigen.de Classifieds Scraper (Germany)
Pricing
from $1.00 / 1,000 results
Kleinanzeigen.de Classifieds Scraper (Germany)
Scrape German classified ads from Kleinanzeigen.de by search URL: title, price, location, date, PRO seller, category. Export JSON/CSV/Excel.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
lysum
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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🇩🇪 Kleinanzeigen.de Classifieds Scraper
Scrape classified ads from Kleinanzeigen.de (Germany) by search URL — fast, reliable, and pay-per-result. Paste one or more Kleinanzeigen.de 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 Kleinanzeigen.de search URL (with whatever filters you set on the site) and it returns one row per listing with:
- title
- price (EUR)
- price negotiable (VB) flag
- postcode
- city
- date
- PRO seller flag
- description snippet
- category
- image
- ad URL
It handles pagination automatically, deduplicates by listing URL, and runs behind an Apify residential Germany proxy to avoid datacenter-IP blocking.
How to use it
- Go to Kleinanzeigen.de, 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
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 by design (e.g. 'VB', 'Zu verschenken') — kept in priceText. Top/sponsored ads are flagged.
- Keep the residential Germany 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 Kleinanzeigen.de'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.
