How to run scrapy on jupyter notebook and crawl a website to csv

Опубликовано: 07 Март 2025
на канале: pyGPT

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sure! here's a step-by-step tutorial on how to run scrapy in a jupyter notebook to crawl a website and save the data to a csv file:

step 1: install scrapy
first, make sure you have scrapy installed. you can install scrapy using pip:

step 2: create a new scrapy project
open a terminal or command prompt and run the following command to create a new scrapy project:

step 3: create a spider
navigate to the `spiders` directory inside your scrapy project and create a new python file for your spider. for example, create a file named `my_spider.py` and add the following code:

step 4: run scrapy in jupyter notebook
now, you can run scrapy in a jupyter notebook by using the `scrapy.crawler.crawlerprocess` class. here's an example code snippet that shows how to run your spider and save the data to a csv file:

replace `'myproject.spiders.my_spider'` with the actual path to your spider, and adjust the scraping logic in the `parse` method of your spider according to the website you want to crawl.

step 5: check the csv file
after running the above code in your jupyter notebook, you should see an `output.csv` file in the same directory containing the scraped data from the website.

that's it! you have now successfully run scrapy in a jupyter notebook to crawl a website and save the data to a csv file.

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