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Join Bright Data Trustpilot with Apify Instagram Post Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Trustpilot
Collect and extract Trustpilot business reviews using URLs. Returns matching business reviews that include the review title, rating, author, position of the author, and more.
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 Trustpilot and Apify Instagram Post Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Trustpilot
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Apify Instagram Post Scraper with Unify or another transformer to combine schemas
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 Bright Data Trustpilot and Apify Instagram Post Scraper
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.