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import requests from bs4 import BeautifulSoup import pandas as pd def aggregate_data(url): response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Example: Aggregating all headline objects titles = [tag.text.strip() for tag in soup.find_all('h2')] return titles # Target open sources source_data = aggregate_data("https://example-news-site.com") df = pd.DataFrame(source_data, columns=["Aggregated Headlines"]) df.to_csv("free_aggregated_report.csv", index=False) Use code with caution. 3. Automate Execution Searching for an unfamiliar term like "agg maalcom

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Create a lightweight script to target specific public endpoints and organize the returning information into a structured data frame:

Saving hours of manual data entry by using scripts to pull information.