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Join Bright Data Wikipedia with Apify Instagram Post Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Wikipedia
Extract data about articles, categories, and contributors from en.wikipedia.org.
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 Bright Data Wikipedia and Apify Instagram Post Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Wikipedia
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Step 2
Add Apify Instagram Post Scraper with Unify or another transformer to combine schemas
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Bright Data Wikipedia and Apify Instagram Post Scraper
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.