How to Scrape Blocket.se — Free No-Code Guide (2026)

#blocket #webscraping #api #python

If you need to pull Blocket.se data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Blocket.se Scraper, a hosted scraper on the Apify platform. You only need a free Apify token — no Blocket.se login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

title
priceValue
currency
location
category
sellerType
brand
url
publishedAt
make
model
year
mileageValue
fuel

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/blocket-se-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install blocket-se-scraper

const scrape = require("blocket-se-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install blocket-se-scraper

from blocket_se_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchQuery`	string	Search Query
`category`	string	Category
`location`	string	Region
`maxResults`	integer	Max Results
`proxyConfiguration`	object	Proxy Configuration

Common use cases

Build a fresh Blocket.se dataset for analysis or dashboards
Feed Blocket.se records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Blocket.se data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.