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After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.

With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Connect Instagram Public Data in Catchr through Facebook authorization and enter the Instagram usernames you want to monitor, separated by commas if needed. Your authorized Facebook account must have access to a Page linked to an Instagram Business or Creator account. Select the configured profile in your Catchr data source and connect it to Looker Studio. Check the username and a few publication links before comparing accounts.
Yes, for eligible Business or Creator accounts available through Meta's Business Discovery feature. You authorize your own qualifying account, then request supported public information about the target profiles. This is not access to every Instagram account: personal accounts and age-gated professional accounts are outside this feature's coverage. Private insights, messages, and restricted content are not unlocked by entering a username.
Catchr exposes profile metadata and current follower, following, and media counts. For returned publications, the catalog includes captions, media type, publication time, links, images or thumbnails, and like and comment counts. It also derives hashtag and caption-length fields from the caption. Reach, impressions, saves, shares, and audience demographics are not included in this public-data catalog. For your own account's private analytics, use the separate Instagram source.
The selected dates filter publications by their posting timestamp. Likes and comments are the current counts returned for those publications, not a daily record of when each interaction happened. A report for posts published last month can therefore change as those posts receive more engagement. Label it as performance of posts published in the selected period, rather than engagement generated exclusively within that period.
The follower count is a current profile snapshot. Changing the dashboard's date range does not recover the number of followers the profile had on an earlier day. To measure growth over time, retain dated snapshots and calculate the change between them. Do not sum follower counts across publication rows: the same account total can be repeated without representing additional people.
Compare likes and comments per returned post alongside posting volume, media format, and the time each post has had to accumulate interactions. If you calculate engagement relative to followers, state the formula and that it uses the current follower count; it is not a reach-based engagement rate. Keep profiles and publication IDs distinct, and use the permalink to inspect outliers before declaring a content format or competitor more effective.
You can group returned publications using media type and the hashtags found in their captions, then compare available likes and comments. This is analysis of the configured profiles' publications, not a search of every Instagram post using a hashtag. The public-data catalog does not include Reel play counts, watch time, or retention. Avoid treating a video thumbnail or media-type label as evidence that those private performance metrics are available.
Our team is always here to answer any questions you may have about our data connector.