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Zap Scraper - A Web Scraper Built with Python

Zap-Scraper-logo
This script is an example of a Web Scraper built in
Python.

Introduction

en pt-br

This Python script extracts and stores information about listings available on the Zap Imóveis website in a containerized SQL database.

The script uses Selenium for web scraping and BeautifulSoup for the parsing of the HTML.

For more information about how to use it, read the instructions below.

Project's Directory Structure

.\
│
├── docker\
│   └── docker-compose.yml
│
├── .env
├── .env.example
├── .gitignore
├── README.md
├── output_format_example.json
├── requirements.txt
├── scraped_page_example.html
├── scraper-logo.png
├── test.py
└── zap.py

Requirements.txt

pymysql
requests
beautifulsoup4
selenium
python-dotenv

Installation/Usage

  1. Run git clone to clone the project into your local Git repository.

  2. Create a free account on ZenRows to obtain a proxy. After creating the account, copy the proxy URL found at https://app.zenrows.com/builder, just below the API key.

  3. Insert the proxy URL (e.g., http://<YOUR_API_KEY>:@proxy.zenrows.com:8001) received from ZenRows into the .env file at the root of the project. To do this, rename the .env.example file to .env and add the proxy URL in this format:

PROXY_URL=<YOUR_PROXY_URL>

  1. Install the correct version of geckodriver for your operating system. Download and install the appropriate version (Linux, Mac, Windows) to ensure the script works correctly.

  2. The docker-compose.yml file contains a ready-to-use SQL database. To initialize it, with Docker installed and running, type the following commands:

cd docker
docker-compose up -d
  1. Install the necessary dependencies listed in the requirements.txt file using pip:
pip install -r requirements.txt
  1. Before running the main script zap.py, it is recommended to run the test script test.py, which opens a Google page to ensure everything is working correctly:
python test.py

Notes

  • In the root of the project, there is an HTML file called scraped_page_example.html that shows the format of the page affected by the script's scraping.
  • Also at the root of the project, there is the output_format_example.json file, which shows how each property from the page is inserted into the final SQL table properties.
  • The script examines only one page at a time to avoid bot detection by the website. If you want to scan more than one page, change the value of the url variable in the searchZapImoveis function to the desired page.

Example:

# first page
https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/?__ab=sup-hl-pl:newC,exp-aa-test:control,super-high:new,olx:control,phone-page:control,off-no-hl:new,zapcopsmig:control&transacao=venda&onde=,S%C3%A3o%20Paulo,S%C3%A3o%20Paulo,,,,,city,BR%3ESao%20Paulo%3ENULL%3ESao%20Paulo,-23.555771,-46.639557,&tipos=apartamento_residencial&pagina=1

# second page
https://www.zapimoveis.com.br/venda/apartamentos/sp+sao-paulo/?__ab=sup-hl-pl:newC,exp-aa-test:control,super-high:new,olx:control,phone-page:control,off-no-hl:new,zapcopsmig:control&transacao=venda&onde=,S%C3%A3o%20Paulo,S%C3%A3o%20Paulo,,,,,city,BR%3ESao%20Paulo%3ENULL%3ESao%20Paulo,-23.555771,-46.639557,&tipos=apartamento_residencial&pagina=2