python hemnet_search_results.py https://www.hemnet.se/bostader\?location_ids%5B%5D\=473498\&item_types%5B%5D\=bostadsratt\&rooms_min\=3\&living_area_min\=60\&price_max\=5000000\&open_house_phrase\=weekend | cut -f7 | python hemnet_listing.py
This script extracts apartment information from a given webpage URL and displays the results in a tabular format.
- Python 3.6 or higher
- pip package manager
Clone the repository or download the script file.
Open a terminal or command prompt and navigate to the directory where the script is located.
Install the required dependencies by running the following command:
pip install -r requirements.txt
Run the script with the webpage URL as a command line argument. For example:
python script_name.py [hemnet_webpage_URL]
Replace script_name.py with the actual name of your script file and [hemnet_webpage_URL] with the URL of the webpage you want to extract apartment information from. e.g. https://www.hemnet.se/bostader\?location_ids%5B%5D\=473498\&item_types%5B%5D\=bostadsratt\&rooms_min\=2\&living_area_min\=60\&price_max\=6000000\&open_house_phrase\=weekend
The script will fetch the apartment data from the provided URL and display it in a tabular format.
The script will output the apartment information in a tabular format, including details such as location, price, number of rooms, size, additional fees (avgift), viewing time, and a link to the apartment listing.
Copy paste into a spreadsheet for further slice and dice.
E.g.
Krysshammarvägen 44, 2 tr 4 195 000 kr 4 rum 89 m² 4 867 kr/mån sön 21 maj kl 11:45 https://www.hemnet.se/bostad/lagenhet-4rum-vastra-skogen-solna-kommun-krysshammarvagen-44,-2-tr-19988435
Johan Enbergs väg 48A, 3 tr 5 350 000 kr 3 rum 80 m² 5 045 kr/mån sön 21 maj kl 15:15 https://www.hemnet.se/bostad/lagenhet-3rum-vastra-skogen-solna-kommun-johan-enbergs-vag-48a,-3-tr-19800197
Krysshammarvägen 44, 2 tr 4 195 000 kr 4 rum 89 m² 4 867 kr/mån sön 21 maj kl 11:45 https://www.hemnet.se/bostad/lagenhet-4rum-vastra-skogen-solna-kommun-krysshammarvagen-44,-2-tr-19988435
Storgatan 76B 5 995 000 kr 5 rum 122 m² 6 438 kr/mån sön 21 maj kl 14:30 https://www.hemnet.se/bostad/lagenhet-5rum-huvudsta-solna-kommun-storgatan-76b-19973366
Wiboms väg 23 3 500 000 kr 3 rum 87 m² 5 286 kr/mån sön 21 maj kl 13:00 https://www.hemnet.se/bostad/lagenhet-3rum-vastra-skogen-solna-kommun-wiboms-vag-23-19977495
Epistelvägen 1B 5 395 000 kr 3 rum 82 m² 4 442 kr/mån sön 21 maj kl 14:50 https://www.hemnet.se/bostad/lagenhet-3rum-vastra-skogen-solna-kommun-epistelvagen-1b-19968125
Släggbacken 8 4 095 000 kr 3 rum 92 m² 4 886 kr/mån sön 21 maj kl 12:30 https://www.hemnet.se/bostad/lagenhet-3rum-huvudsta-solna-kommun-slaggbacken-8-19973977
Jungfrudansen 27, vån 3 4 395 000 kr 4 rum 99 m² 6 062 kr/mån sön 21 maj kl 11:30 https://www.hemnet.se/bostad/lagenhet-4rum-huvudsta-solna-kommun-jungfrudansen-27,-van-3-19930335
Johan Enbergs väg 54B 4 895 000 kr 3 rum 80 m² 5 045 kr/mån sön 21 maj kl 15:15 https://www.hemnet.se/bostad/lagenhet-3rum-vastra-skogen-solna-kommun-johan-enbergs-vag-54b-19973084
Johan Enbergs väg 9, 3 tr 3 795 000 kr 2 rum 67 m² 3 131 kr/mån sön 21 maj kl 12:45 https://www.hemnet.se/bostad/lagenhet-2rum-vastra-skogen-solna-kommun-johan-enbergs-vag-9,-3-tr-19970217
Bygatan 23 3 250 000 kr 3 rum 88 m² 4 825 kr/mån sön 21 maj kl 13:00 https://www.hemnet.se/bostad/lagenhet-3rum-huvudsta-solna-kommun-bygatan-23-19973416
Armégatan 11A 3 250 000 kr 2 rum 62 m² 3 358 kr/mån sön 21 maj kl 13:40 https://www.hemnet.se/bostad/lagenhet-2rum-huvudsta-ingenting-solna-kommun-armegatan-11a-19969043
Jungfrudansen 12, vån 5 4 695 000 kr 3,5 rum 87 m² 5 041 kr/mån sön 21 maj kl 12:10 https://www.hemnet.se/bostad/lagenhet-3,5rum-huvudsta-solna-kommun-jungfrudansen-12,-van-5-19942317
Polhemsgatan 1 3 395 000 kr 2 rum 68 m² 2 909 kr/mån sön 21 maj kl 12:45 https://www.hemnet.se/bostad/lagenhet-2rum-gamla-huvudsta-solna-kommun-polhemsgatan-1-19934371
Krysshammarvägen 32, 5 tr 4 695 000 kr 5 rum 108 m² 5 898 kr/mån sön 21 maj kl 13:00 https://www.hemnet.se/bostad/lagenhet-5rum-vastra-skogen-solna-kommun-krysshammarvagen-32,-5-tr-19579396
Bygatan 17, vån 5 3 995 000 kr 3 rum 88 m² 4 825 kr/mån sön 21 maj kl 13:40 https://www.hemnet.se/bostad/lagenhet-3rum-huvudsta-solna-kommun-bygatan-17,-van-5-19916280
Storgatan 52, 8tr 2 895 000 kr 2 rum 64,8 m² 3 072 kr/mån sön 21 maj kl 14:30 https://www.hemnet.se/bostad/lagenhet-2rum-huvudsta-solna-kommun-storgatan-52,-8tr-19914956
Storgatan 62C, vån 5 4 995 000 kr 5 rum 103 m² 6 858 kr/mån sön 21 maj kl 11:20 https://www.hemnet.se/bostad/lagenhet-5rum-huvudsta-solna-kommun-storgatan-62c,-van-5-19471998
Jonstorpsvägen 30 4 495 000 kr 4 rum 97 m² 5 834 kr/mån sön 21 maj kl 11:00 https://www.hemnet.se/bostad/lagenhet-4rum-huvudsta-solna-kommun-jonstorpsvagen-30-19732821
The script relies on the following Python libraries, which are listed in the requirements.txt file:
- cfscrape
- beautifulsoup4
These dependencies will be automatically installed during the installation process mentioned earlier.
The hemnet_listing.py script allows you to extract property information from a given URL of a real estate listing on "hemnet.se" using Selenium and BeautifulSoup libraries in Python.
- Python 3.x
- Selenium
- BeautifulSoup
- ChromeDriver (compatible with your Chrome browser version)
Install Python 3.x from the official website.
Install the required libraries by running the following command:
pip install selenium beautifulsoup4
Download ChromeDriver from the official website and place the executable file in a convenient location.
Place the hemnet_listing.py script in your project directory.
Run the script from the command line and provide the URL of the property listing as a command-line argument:
python hemnet_listing.py <property_url>
Replace <property_url> with the URL of the property listing on "hemnet.se".
The script will extract the following information:
- Property image URL
- Address
- Price
- Size
- Area
- Floor
- Year of Construction
- Association/BRF Name
- Avgift
- Pris/m²
- Broker name
- Broker image (as an HTML =IMAGE() formula)
- Viewing times
- BRF rating
The extracted information will be displayed in a tab-separated value (TSV) format in the console output.
% python hemnet_listing.py https://www.hemnet.se/bostad/lagenhet-3,5rum-huvudsta-solna-kommun-krysshammarvagen-32-19950955
Property image URL address price Size Area Floor Year of Construction Association Name avgift Pris/m² Broker name Broker image viewing times BRF rating
=IMAGE("https://bilder.hemnet.se/images/itemgallery_cut/46/dd/46ddcb859eba2cbc33b9353178fda76f.jpg") Krysshammarvägen 32 3 995 000 kr 3,5 rum 81,6 m² 5 av 8, hiss finns 1966 BRF Krysshammaren 4 463 kr/mån 48 958 kr/m² Carl Lekselius =IMAGE("https://bilder.hemnet.se/images/broker_profile_small/53/19/531971ad66bb7e7785f9b1f63cbd8800.jpg") ['Sön 28 maj kl. 11:00–11:30']
Copy paste this into a spreadsheet
Make sure to replace the /path/to/chromedriver with the actual path to the ChromeDriver executable in the service variable of the extract_property_info function.
Adjust the column_names list according to your preferred order of columns in the TSV output.
To render the images in a Google Sheets document, manually copy and paste the TSV output into the document, and resize the image columns as needed.
Feel free to modify the script as per your requirements or integrate it into your existing projects.