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Web scraper which aggregates pre-print academic economics papers from 20+ sources; presents titles, abstracts, authors and hyperlinks on an online dashboard. Auto-updates daily.

Home Page: https://roundup.streamlit.app/

License: MIT License

Python 100.00%
api-scraping beautifulsoup beautifulsoup4 economics github-actions html-scraping macroeconomics microeconomics requests selenium streamlit streamlit-dashboard streamlit-webapp web-scraping

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roundup's Issues

Investigate StreamLit handling of text strings with dollar signs

The following text appeared incorrectly on the StreamLit app:

"Two in five Americans have medical debt, nearly half of whom owe at least $2,500. Concerned by this burden, governments and private donors have undertaken large, high-profile efforts to relieve medical debt. We partnered with RIP Medical Debt to conduct two randomized experiments that relieved medical debt with a face value of $169 million for 83,401 people between 2018 and 2020. We track outcomes using credit reports, collections account data, and a multimodal survey. There are three sets of results. First, we find no impact of debt relief on credit access, utilization, and financial distress on average. Second, we estimate that debt relief causes a moderate but statistically significant reduction in payment of existing medical bills. Third, we find no effect of medical debt relief on mental health on average, with detrimental effects for some groups in pre-registered heterogeneity analysis."

Image

Something is happening to make it italicized unintentionally.

create global list of scraper IDs to be used in compare.py, streamlit_app.py, and runall.py

Currently, there are three lists of scraper IDs, each contained in compare.py, streamlit_app.py, or runall.py, which look like the following:

source_order = ['NBER', 'FED-BOARD', 'FED-BOARD-NOTES', 'FED-ATLANTA', 'FED-BOSTON', 'FED-CHICAGO', 'FED-CLEVELAND', 'FED-DALLAS', 'FED-KANSASCITY', 'FED-NEWYORK', 'FED-PHILADELPHIA', 'FED-RICHMOND', 'FED-SANFRANCISCO', 'FED-STLOUIS', 'BEA', 'BFI', 'BIS', 'BOE', 'ECB', 'IMF']

Integrating a new scraper module in the project involves updating all three lists, which is unintuitive and prone to producing bugs.

Resolving this issue would involve creating a global order of sources that can be called by all 3 scripts.

repair Fed_Boston.py

Fed_Boston.py is not able to navigate to 2024 publications. Adjust the web scraper accordingly. Explore API options.

repair IMF.py

Abstract data Xpath index is not working. Revisit this script and potentially use an API instead

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