https://github.com/jeffbla/rent-house-crawler

This is a distributed web crawler using Scrapy, Redis, and Selenium. It is designed to handle various types of websites, including static, AJAX, and dynamic pages.
https://github.com/jeffbla/rent-house-crawler

ajax distributed-systems dynamic-site mongodb redis selenium static-site web-crawling

Last synced: 15 days ago
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This is a distributed web crawler using Scrapy, Redis, and Selenium. It is designed to handle various types of websites, including static, AJAX, and dynamic pages.

• Host: GitHub
• URL: https://github.com/jeffbla/rent-house-crawler
• Owner: JeffBla
• Created: 2024-08-09T13:23:52.000Z (3 months ago)
• Default Branch: master
• Last Pushed: 2024-09-12T03:08:57.000Z (2 months ago)
• Last Synced: 2024-10-10T20:43:12.515Z (about 1 month ago)
• Topics: ajax, distributed-systems, dynamic-site, mongodb, redis, selenium, static-site, web-crawling
• Language: Python
• Homepage:
• Size: 307 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Rent House Crawler



  



## Description

This is a distributed web crawler using Scrapy, Redis, and Selenium. It is designed to handle various types of websites, including static, AJAX, and dynamic pages. By leveraging a distributed setup with docker compose, the system can be deployed across multiple machines to enhance crawling speed and efficiency.

**Note:**

- ddroom -> Ajax

- housefun -> dynamic (with selenium)

- rakuya -> static

### Architecture Overview:

The architecture features a central queue managed by Redis, which distributes tasks to multiple Scrapy crawlers. The crawlers process the tasks and store the collected data in MongoDB.

## Prerequest

There is no MongoDB container in the docker-compose. You need to rewrite the docker-compose or set up MongoDB locally.

1. Setup MonogoDB locally or modify the docker-compose.

2. Adjust the environment variable to make the project find your MongoDB database.

## Install

There are two ways to set up.

1. local set up

   1. Pip install

      ```python

      pip install -r requirements.txt

      ```

   2. Push url to the redis

   3. scrapy crawl [ddroom/housefun/rakuya]

2. Adopt the docker-compose

   1. Build the docker image

      ```docker

      docker build -t scrapy_rent_crawler .

      ```

   2. Run the docker compose

      ```docker

      docker compose up -d

      ```

      if want to debug, remove the -d flag.