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Collect Instagram Reels for recipe topic comparison

Collect Reels for "sourdough starter" and "home baking" in one run, or replace them with your topics. Every row keeps its source query for manual side-by-side comparison. Multiple queries need a paid plan; the free plan runs one query. Matching Reels can appear under both queries.

Try for free
Instagram Reels Search | $0.4/1K Reels + $0.002 per Page
Instagram Reels Search | $0.4/1K Reels + $0.002 per Pagepublicsignallabs/instagram-reels-search
Thumbnail
Caption
Reel
Author
+11 fields
Text
Number
Boolean
List
Object

Input

Search queries(required):sourdough starter+1
Maximum pages per query:1

Output fields

Thumbnail
Caption
Reel
Author
Plays
Likes
Comments
Shares
Published
Duration (s)
Query rank
Query
Page
Shortcode
Reel ID

How it works

Sign up on Apify or log in

The Instagram Reels Search | $0.4/1K Reels + $0.002 per Page Actor is ready to run with the inputs already set for "Collect Instagram Reels for recipe topic comparison". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect Instagram Reels for recipe topic comparison" task

The Instagram Reels Search | $0.4/1K Reels + $0.002 per Page Actor will start running based on the input automatically. You can also change all the input fields, like search queries and maximum pages per query, to match your specific use case.

Receive the "Collect Instagram Reels for recipe topic comparison" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as thumbnail, caption, reel, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Collect Instagram Reels for recipe topic comparison" task via API.

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Integrate "Collect Instagram Reels for recipe topic comparison" into your workflow

Connect "Collect Instagram Reels for recipe topic comparison" with 100+ integrations, or run it via API or MCP.

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