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Join Data365 Instagram with Apify Instagram Profile Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Data365 Instagram
Collect and extract Instagram posts and profile feed posts using hashtag. Data365 offers advanced capabilities for collecting Instagram data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
About Apify Instagram Profile Scraper
Get profile details via Apify's Instagram Profiles Scraper. All you need to set up is usernames or URLs you want to extract data from.
For each Instagram profile, you will extract:
Basic profile details: username, full name, biography, and profile URL.
Account status: verification status, whether the account is private or public, and if it's a business account.
Follower and engagement metrics: number of followers and accounts followed.
Profile pictures: standard and HD profile picture URLs.
External links: website URL (if provided).
Content information: number of IGTV videos and highlight reels.
Related profiles: suggested accounts, including their username, full name, profile picture URL, and verification status.
Quickly connect Data365 Instagram and Apify Instagram Profile Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 Instagram
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Apify Instagram Profile Scraper with Unify or another transformer to combine schemas
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Data365 Instagram and Apify Instagram Profile Scraper
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.