Why use Postchup Instagram Comment Exports?
Postchup can export all of the post's public comments to one easy to use CSV file. The CSV includes the following:
- The date and time the comment was posted
- The username of the user that posted the comment
- The comment's text
How much does it cost?
The price of our exports are based on the number of comments the post has, and start from $29.99 (excluding tax). For full pricing, please see the table below.
|Number of comments||Price (excluding tax)|
|5,001 - 10,000||$59.98|
|10,001 - 25,000||$99.96|
|25,001 - 50,000||$199.92|
|> 50,000||Priced in multiples of 50,000 (eg. 190,000 = 4 × $199.92)|
Export the comments for any Instagram account
You do not need to own the Instagram account that posted the the photo. Potchup can export the comments of any public Instagram post.
Export Instagram comments in multiple languages
Postchup's Instagram exports can export most international languages, including Arabic and Cyrillic languages. Depending on your spreadsheet software, some versions of Excel may not present the characters in their correct format. Uploading the file to Google Docs usually works!
There is no limit to the number of comments you can export
Postchup exports all the comments that are available via Instagram. In some cases the final total can vary depending on the number of comments from protected accounts, and deleted comments.
What can I do with my Instagram comment export?
Exporting the comments of an Instagram post can be useful in a number of ways:
- Running a competition and choosing a random winner
- Backing up comments before deleting a post.
- Explore the comment data in Excel.
- Use the comment timestamps to find out when your audience is active.
Have you tried BirdSong Analytics?
BirdSong Analytics provides more in-depth reports for any public Twitter account, Instagram account, YouTube Channel, or Facebook Page. Reports include over 30 key metrics in easy to read tables, with useful analysis such as the best time to post and more in-depth follower profiling.Visit BirdSong Analytics