This Streamlit app lets you scrape Google News using the HasData Google SERP API. You can search by keyword, filter results by time, language, or region, scrape multiple pages, preview the results, and export them as JSON or CSV.
It’s helpful for researchers, analysts, creators, and teams who need structured Google News data without writing code.
You can enter your HasData API key, define a search query, choose time and region filters, and run a multi-page scrape of Google News.
The app sends your query to HasData’s Google SERP API, fetches the newsResults, and displays them in a clean table.
Everything happens inside Streamlit, so you can run it even if you're not a developer.
You can export the scraped data to JSON or CSV and use it for reporting, automation, dashboards, or research.
Requires Python 3.11+.
pip install streamlit pandas requestsstreamlit run app.pyReplace app.py if your file name is different.
You begin by entering your HasData API key. Then you select a keyword, the number of pages you want to scrape, the starting page, and any filters that match your region or language. There’s also a time filter so you can focus on fresh news: past hour, day, week, month, or year.
The app builds a Google News request with these parameters and sends it to:
https://api.hasdata.com/scrape/google/serp
Each response returns structured news items, including title, link, snippet, source, publication date, and thumbnail. The results appear in a data table and can immediately be downloaded.
Each scraped article includes:
- title
- link
- source
- snippet
- publication date
- thumbnail
Time filters and pagination make it possible to use this dataset for trend analysis, research, SEO monitoring, sentiment work, or automated reporting.
These examples are for educational purposes only. Learn more about the legality of web scraping.