Learn Twitter Data Scraping - And You Can Make $150k/year.

Let me show you how? 👇

Scrape Twitter and scrape data from public Twitter profiles.

Collect data on
- URLs,
- hashtags, i
- mages,
- videos,
- tweets,
- retweets,
- conversation threads,
- followers/following,
- locations, and more.

Scraping Twitter with Selenium

Prerequisites:
- Selenium
- Webdriver Manager

Details guide here:
brightdata.com/blog/how-tos/how-to-scrape-twitter-data

Use Bright Data’s Web Scraper IDE,
- Scrape Twitter to monitor consumer sentiment

- Find new influencers and monitor shifts in popularity

- Protect your brand image by capturing users’ conversations

- Easily stay on top of new trending topics

Output examples
→ Collect tweets by tweet URL
→ Collect tweets by keyword or #hashtag
→ Collect profile data by profile URL

Web Scraper IDE Features
→ Pre-made web scraper templates
→ Browser scripting in JavaScript
→ Ready-made functions

Leverage Twitter Scraper for the following uses:
- Collect news and opinion data to support investment decisions
- Get a leg up on upcoming trends,
- Predict the next fads and fashions,
- Keep track of consumer sentiment

How to develop a web scraper

Introducing
@bright_data's Scraping Browser!

- Bright Data allows you to collect data from unique IPs.

- Making data collection process fast, easy to manage, and scalable.

- Need structured web data, try bright data today:

get.brightdata.com/fhalidclsidr

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