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Integrate Apify Instagram Post Scraper into Azure Blob Storage
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Apify Instagram Post Scraper
Gather post data with Apify's Instagram Post Scraper. To set up this Actor, you will need to add Instagram usernames to extract the post from, the desired number of posts, and the timeframe of the posts.
For each Instagram post, you will extract:
Post details: post URL, content type (image, video, carousel), shortcode, post ID, and timestamp.
Text content: caption, hashtags, and mentions.
Engagement metrics: number of likes and comments, including a few latest comments.
Media details: image dimensions (height and width), display URL, and alternative text (if available).
User information: owner’s username, full name (if available), and user ID.
Quickly connect Apify Instagram Post Scraper and Azure Blob Storage with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Instagram Post Scraper
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Transform, and then add Azure Blob Storage
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Apify Instagram Post Scraper and Azure Blob Storage
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.