Blocket Properties Scraper
Pricing
from $1.50 / 1,000 results
Blocket Properties Scraper
Scrape homes from Blocket Bostad on blocket.se. Use the same listing filters as the site or paste a URL — the URL wins when set.
Pricing
from $1.50 / 1,000 results
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0.0
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Developer
Marco Rodrigues
Maintained by CommunityActor stats
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2
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1
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a day ago
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🇸🇪 Blocket Properties Scraper
Want Blocket home ads in a spreadsheet? This scraper makes it easy.
Use structured filters — better for AI agents — or paste an input_url. When input_url is set it overrides the filters.
Blocket’s public homes browse is Blocket Bostad. It is rental homes across Sweden. This actor returns up to 2000 rows per run.
💡 Perfect for...
- Marketplaces: Export Stockholm, Göteborg, and Malmö rentals from Blocket Bostad.
- Dashboards: Track new homes without paging the site.
- Market research: Slice listings by type, city, bedrooms, size, or rent.
- Data analysts: Export structured rows with public listing URLs.
- 🤖 AI Agents: Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Blocket home results.
- 📚 RAG Systems: Feed titles, rents, and cities into retrieval pipelines.
- 🔗 AI Workflows: Plug into LangChain, AutoGPT, CrewAI, and similar stacks.
✨ Why you'll love this scraper
- 🔗 Input URL or Filters: Paste a Blocket Bostad search or listing URL, or pick the same filters as the site.
input_urlalways wins when set. - 🎯 Website-Matched Filters: Keyword, sale or rent, home type, location, bedrooms, size, and price.
- 🌐 Listing cards: Title, monthly rent in kronor, type, bedrooms, size, city, and listing URL.
📦 What's inside the data?
id, url, title, price, currency, listing_type, property_type, bedrooms, rooms, size, location, city, region, image, date
🚀 Quick start
Option A: paste https://www.blocket.se/bostad.
Option B: pick a city and set max_results.
Input Example (filters):
{"listing_type": "rent","property_type": "apartment","location": "stockholm","max_results": 100}
Input Example (URL):
{"input_url": "https://bostad.blocket.se/sv/find-home","max_results": 100}
Output Example:
{"id": "1444448","url": "https://bostad.blocket.se/sv/home/1444448","title": "Byarumsvägen, Hasslö","price": 7500,"currency": "SEK","location": "Byarumsvägen, Hasslö","image": "https://qasa-static-prod.s3-eu-west-1.amazonaws.com/img/example.jpg","date": "2026-08-24T07:18:25Z","listing_type": "For rent","property_type": "house","bedrooms": 3,"rooms": 4.0,"size": 95,"city": "Hasslö","region": "Hasslö"}
Output fields:
| Field | Description |
|---|---|
id | Blocket Bostad home id. |
url | Public listing page. |
title | Street and town when a headline is missing. |
price | Monthly rent in Swedish kronor when shown. |
currency | Always SEK. |
location | Street and town from the card. |
image | Listing photo. |
date | When the ad was posted, as a full date and time. |
listing_type | For rent on the public Blocket homes browse. |
property_type | Apartment, house, cottage, or other type. |
bedrooms | Bedroom count when shown. |
rooms | Total rooms when shown. |
size | Floor size in square metres when shown. |
city | Town or locality. |
region | Municipality when shown. |
📋 Input reference
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
input_url | string | No | — | Blocket Bostad search or listing URL. Overrides every filter. |
query | string | No | — | Words to match in the title or city. |
listing_type | dropdown | No | all | For rent is the public homes browse. For sale stays in the list for agents; Blocket homes today are rental ads. |
property_type | dropdown | No | all | Apartment, house, cottage, and other types. |
location | dropdown | No | all | Swedish county or city. |
bedrooms | integer | No | — | Lowest bedroom count. |
size_min | integer | No | — | Smallest floor size in square metres. |
size_max | integer | No | — | Largest floor size in square metres. |
price_min | integer | No | — | Lowest monthly rent in Swedish kronor. |
price_max | integer | No | — | Highest monthly rent in Swedish kronor. |
max_results | integer | No | 50 | Maximum rows (1–2000). |