Scrape and organize tech event listings

To scrape and organize tech event listings, you’ll need to:

1. Identify Target Websites (e.g., TechCrunch, Meetup, Eventbrite, Dev.to, Lanyrd, etc.)

2. Scrape Event Data using tools like BeautifulSoup or Selenium.

3. Extract Key Details such as event name, date, location (or “online”), description, URL, and organizer.

4. Organize Data into a structured format (like CSV, JSON, or a database).

5. Optionally Display or Filter on a front-end dashboard or site.

Step-by-Step Example in Python

Requirements

bash
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pip install requests beautifulsoup4 pandas

Basic Scraper Example (Eventbrite)

python
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import requests
from bs4 import BeautifulSoup
import pandas as pd

url = "https://www.eventbrite.com/d/online/technology--events/"
headers = {'User-Agent': 'Mozilla/5.0'}
response = requests.get(url, headers=headers)

soup = BeautifulSoup(response.text, 'html.parser')

events = []

for event_card in soup.select('div.eds-event-card-content__content'):
    title_tag = event_card.select_one('div.eds-event-card-content__primary-content a')
    date_tag = event_card.select_one('div.eds-event-card-content__sub-title')

    if title_tag and date_tag:
        title = title_tag.text.strip()
        link = title_tag['href']
        date = date_tag.text.strip()

        events.append({
            'Title': title,
            'Date': date,
            'Link': link
        })

df = pd.DataFrame(events)
df.to_csv('tech_events.csv', index=False)
print(df.head())

Optional: Automate or Schedule

• Use cron jobs (Linux) or Task Scheduler (Windows) for regular scraping.

• Use APIs (if provided) instead of scraping where possible (e.g., Meetup API, Eventbrite API).

Tips for Scaling

• Rotate User-Agents to avoid blocks.

• Use proxies if necessary.

• Handle pagination for more results.

• Store in a database (e.g., SQLite, PostgreSQL) for querying/filtering.

Would you like a version with a GUI or a web dashboard to display the results?