Crawl paper information from

1. science direct
2. mdpi and store into mongodb

Check item.py out for the details of scraped structure.

requirements

1. docker
2. python 3.7

run steps

1. docker pull mongo:4.2.3
2. docker run -p 27017:27017 -d --name mongo mongo:4.2.3
3. run either below methods to install dependencies

• pip install -r requirement.txt
• pipenv install --python 3.7 then pipenv shell

4. run crawler, scrapy crawl sciencedirect --loglevel=INFO, where sciencedirect is a spider

• run scrapy list to display the list of crawlers

visual data

I recommend Robo 3T to query data, otherwise mongo-shell can do

1. connect to server
2. db.getCollection('items').find({'abstract': {$ne: null}})

notes

1. visit https://docs.scrapy.org/en/latest/topics/jobs.html for pause crawl works

• e.g scrapy crawl sciencedirect -s JOBDIR=crawl_jobs/sciencedirect

2. should expose file inside docker container to the machine

• determine a folder first outside, for example: /Users/bryan/papers_crawler/mongodb
• run docker run -p 27017:27017 -d -v /Users/bryan/workplace/papers_crawler/mongodb:/data/db/ --name mongo mongo:4.2.3