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[Scrapy](https://docs.scrapy.org/en/latest/topics/exporters.html)\n2. [Streamlit](https://docs.streamlit.io/)\n3. [Pandas](https://pandas.pydata.org/docs/)\n\n## RUN CRAWLING\n\n1. Clone this repository ```https://github.com/lixx21/coursera-data-scarping.git```\n2. Go to spiders directory path with ```cd coursera_data_scraping/coursera_data_scraping/spiders```\n3. Start running streamlit app with following command ```streamlit run streamlit_app.py```\n\n## NOTES\n\n1. In this case, we need to install all libraries in ```requirements.txt```\n2. Start Scrapy project with this command ```scrapy startproject {folder name}``` in this case, I used folder name = coursera_data_scraping so the comman will be like this ```scrapy startproject coursera_data_scraping``` \n3. Because Scraping in Coursera will return this error ```DEBUG: Forbidden by robots.txt:``` Therefore, in ```settings.py``` we set ```ROBOTSTXT_OBEY = False```\n4. We also need to define our ```USER_AGENT``` in ```settings.py```\n5. Because we want to store (append) data in csv, we need to create a csv first named ```output.csv``` in ```coursera_data_scraping/coursera_data_scraping/spiders``` directory and filled the header and keep the rest empty. **Just filled the header**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flixx21%2Fcoursera-data-scarping","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flixx21%2Fcoursera-data-scarping","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flixx21%2Fcoursera-data-scarping/lists"}