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Integrate Apify Instagram Post Scraper into BigQuery
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 BigQuery with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify Instagram Post Scraper
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Transform, and then add BigQuery
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Apify Instagram Post Scraper and BigQuery
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.