Synopsis

This custom routine scrapes a single link. I have scrapped story title, story date, and the main story from https://www.anandabazar.com/sport/bwf-world-championships-final-pv-sindhu-vs-nozomi-okuhara-dgtl-1.1036258. Right now in order to scrap urls with this tool, user need to have a bit of scripting knowledge, because you need to identify the story title body segments . Will try to make the tool more flexible and human intervension should be as less as possible.

How to replicate my result

1. Install Scrapy. https://docs.scrapy.org/en/latest/intro/install.html

2. Clone the repo.

3. The file you are looking for is global_scrape.py inside language_crawl/language_crawl/spiders/. Please go through the file. It should be straight forward.

4. You can see my scrapped result data in abp_scrap.csv.

5. To replicate my results, please open your terminal, go to the language_crawl/language_crawl directory and run scrapy crawl my_global_scraper -o abp_scrap.csv. But before that please go through the article once.

Referance

• https://www.youtube.com/watch?time_continue=13&v=O_j3OTXw2_E&t=1904s
• https://towardsdatascience.com/using-scrapy-to-build-your-own-dataset-64ea2d7d4673