Scrape Tunabyggen's available garages and output to CSV. Includes ID, Display Name, Description, Price and Complete Address.

extract_garages.py

import requests
import csv

headers = {
    'Accept': 'application/json, text/plain, */*',
    'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36',
    'X-Api-Key': 'pJnKrR6B3FzRNFsF33xL8LhSs55KPJrm',
    'X-Momentum-Client': 'momentum.se-fastighetminasidor',
    'X-Momentum-Client-Id': 'EAP-47356',
    'X-Momentum-Client-Version': '5.20.3.15457',
    'X-Momentum-Device-Key': 'e8q66tgd9jsqalnk9alijf',
}

url = "https://tunabyggen-fastighet.momentum.se/Prod/Tunabyggen/PmApi/v2/market/objects?type=parking&limit=500"
response = requests.get(url, headers=headers)
data = response.json()

csv_filename = "garages.csv"
csv_columns = ["id", "displayName", "description", "price", "completeAddress"]

with open(csv_filename, 'w', newline='', encoding='utf-8') as csvfile:
    writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
    writer.writeheader()

    for item in data["items"]:
        if item.get("thumbnail", {}).get("exists") and item["thumbnail"]["displayName"] == "Garage bild":
            garage_id = item["id"]
            display_name = item["displayName"]
            description = item["description"]
            price = item["pricing"]["price"]

            detail_url = f"https://tunabyggen-fastighet.momentum.se/Prod/Tunabyggen/PmApi/v2/market/objects/{garage_id}"
            detail_response = requests.get(detail_url, headers=headers)
            detail_data = detail_response.json()

            complete_address = detail_data.get("location", {}).get("address", {}).get("completeAdress", "")
            print(complete_address)

            writer.writerow({
                "id": garage_id,
                "displayName": display_name,
                "description": description,
                "price": price,
                "completeAddress": complete_address
            })

print(f"Data has been written to {csv_filename}")

sample.csv