Scrape all the social media platforms to collect publicly available data of profiles, images, groups, jobs, URLs of all kinds, timestamps, viral videos, statuses, IDs, marketplace postings, and more.
Social Media Scraper
Use Bright Data’s Web Scraper IDE,
to get all the social media data you need
- Scrape all the major social media platforms
- Identify trends
- Conduct researches before important events
- Analyze different age groups
Social Media Scraper Overview
- Data scraping for beginners. Easy to use.
- Utilizes proprietary site unlocking technology.
- Adapts to site changes: When social media sites change their site structure, Bright Data will adjust its crawler code.
- Infinitely scalable – collect as much data as you need quickly and completely.
- Bright Data is fully committed to complying with all relevant data protection legal requirements, including GDPR and CCPA
Social Media Scraper can be used to:
- Scrape social media platforms to understand your brand and your competitors’ image
- Find the best influencers to promote your brand and products by scraping number of followers, profiles, comments, followers, topics of interest, and more
- Zero-in on what customers are saying, and quickly spot shifts in popularity by monitoring likes, shares, comments, hashtags, mentions, and more
- Discover your target audience including their level of engagement, demographics, most liked and used hashtags, posting frequency, and what they are following
- Improve your product marketing with trending post & comments data
- Determine what content your competitors use such as likes, hashtags, posts, and comments data
Bright Data’s social media scraper can be used with all the popular social media platforms to obtain access to large-scale publicly available data for you business needs. Some of the dedicated tools we have for social media data collection needs include:
How to develop a web scraper
STEP 1
Choose from ready-made code templates or start from scratch
STEP 2
Develop and customize your scraper using Bright Data’s ready-made scraping functions
STEP 3
Choose when to get the data: In real-time or batches
STEP 4
Choose the file format and where to send the data
