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Join Bright Data Walmart with Apify Instagram Profile Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Walmart
Collect and extract product listings on Warlmart's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews and more.
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 Bright Data Walmart and Apify Instagram Profile Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Walmart
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
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 Bright Data Walmart 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.