Scrape Facebook data including profile name, image, handle,
picture, status, shares, followers, ID, country code, region, title,
views, posts, timestamp, likes, comments, groups, marketplace
, members, organization, phone, address, website, and more.

Facebook Scraper

Use iWeb Data Scraping Data Collector,
or purchase a pre-collected Facebook
dataset
- Collect Facebook comments on specific posts
- Use our Facebook scraper to locate & keep track of top trends
- Scrape Facebook public data for research
- Scrape Facebook and perform competitor research
Facebook Scraper Overview
- Data scraping without coding β easy to use
- All-in-One solution integrates with our industry-leading Facebook proxy
- Leveraging proprietary site unlocking technology
- Adapts to site changes: when Facebook changes its site structure IWeb Data Scraping will maintain the code
- Scalable β collect as many pages and profiles as you need at high speed
- IWeb Data Scraping is fully committed to complying with all relevant data protection legal requirements, including GDPR and CCPA.
Facebook profile
Facebook post
Facebook organizations
Facebook job opening
Some of the most popular use cases for the data collected with the Facebook scraper include:
- Focus your marketing efforts & understand your customers with real-time data delivered like posts, likes, comments, hashtags, & videos
- Discover new leads with data from reviews & competitor pages, and enrich existing datasets with missing lead information
- Monitor consumer sentiment & engagement, including: who customers are following, being followed by, liking, & talking about to anticipate the next big trends
- Focus your product marketing & develop new products based on posts & comments data on whatβs trending in specific locations and industries
- Evaluate existing ad campaigns & optimize social advertising to determine the exact target message
- Understand your customerβs journey & uncover their needs in real-time
How it works
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STEP 1
Choose the website you would like to scrape public data from, in real-time.
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STEP 2
Select the frequency: real-time or scheduled, and delivery format: JSON, CSV, HTML, or Microsoft Excel.
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STEP 3
Decide where to send the data: webhook, email, Amazon S3, Google Cloud, Microsoft Azure, SFTP, or API.
Want to learn more?
Talk to an expert to discuss your data collection needs and see our platform in action.