Vetric Instagram Post Comments
Retrieve comments from a Instagram post
The Vetric Instagram Post Comments allows you to get the comments from a Instagram post.
The complete Vetric documentation about their endpoint can be found in their site here.
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Unify Schema
This data source already use Unify Schema.
API Key
To use this component, you will need a Vetric API key. If you don't have one, please reach out to [email protected] and our team will assist you in obtaining the necessary credentials.
How To Use?
The component is powered by the Jobs System, when interacting with the component you have the option to define your jobs queries.
Search Query
Filters
| Filter Name | Description |
|---|---|
| query | Instagram post ID |
| max_documents | Set a limit for the number of documents that will be fetched for the search. |
Examples
Retrieve the comments from the Instagram post with ID '2872992039991068281'.
You also have the option to use the API. You can use the Code button to extract this example:
curl --location 'https://api.platform.datastreamer.io/api/pipelines/{PIPELINE_ID}/components/{COMPONENT_ID}/jobs?ready=true' \
--header 'apikey: <your-api-key>' \
--header 'Content-Type: application/json' \
--data \
'{
"job_name": "{JOB_NAME}",
"data_source": "vetric_instagram_post_comments",
"query": {
"query": "2872992039991068281"
},
"job_type": "oneTime",
"max_documents": 10
}'
For more details on creating data collection jobs, see Job Management.
Additional Details
Compatible Metadata Fields
| Applicable Metadata Categories | Compatible |
|---|---|
| Source | Yes |
| Content | Yes |
| Author | Yes |
| Person | No |
| Enrichment | Yes |
| Organization | No |
| Data source-specific fields? | Yes, please see the Metadata page. |
Metadata Example
{
"data_source": "vetric_instagram_post_comments",
"id": "18028783430313694",
"author": {
"userid": "10433902",
"handle": "witchymanny",
"name": "Manny Santiago",
"profile_image_source": "https://scontent-mia3-2.cdninstagram.com/v/t51.2885-19/412681983_737915625035107_2553032032391286942_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=scontent-mia3-2.cdninstagram.com&_nc_cat=107&_nc_ohc=jojHwMEWYAsQ7kNvgHEIsSB&_nc_gid=16201b5b268e40a8b98f0678031cb6fc&edm=AId3EpQBAAAA&ccb=7-5&oh=00_AYC1ZAYF0cWweWFYrAcVCjxpOMIcPh4BMEwIOEB7psvwcw&oe=66D826AE&_nc_sid=f5838a",
"verified": false,
"is_mentionable": true,
"url": "https://www.instagram.com/witchymanny"
},
"doc_date": "2024-05-23T23:44:26.000Z",
"content": {
"published": "2024-05-23T23:44:26.000Z",
"body": "See you tonight!!!",
"likes_count": 15,
"child_comments_count": 1,
"related_post_id": "3374401724196409143"
},
"instagram": {
"content_type": "comment"
}
}
Data collection job creation request
Returns comments on an Instagram post. The query value is expected to be a valid Instagram Post Id.
curl --location 'https://api.platform.datastreamer.io/api/pipelines/{PIPELINE_ID}/components/{COMPONENT_ID}/jobs?ready=true' \
--header 'apikey: <your-api-key>' \
--header 'Content-Type: application/json' \
--data \
'{
"job_name": "my instagram data collection",
"data_source": "vetric_instagram_post_comments",
"query": {
"query": "3374401724196409143"
},
"job_type": "oneTime"
}'
Make sure to replace ‘PIPELINE_ID’ and ‘COMPONENT_ID’ variables to the ones associated with your pipeline.
Including Post Comments from Other Sources
The vetric_instagram_post_comments connector can be used in conjunction with other connectors like vetric_instagram_user_reels and vetric_instagram_user_feed to include comments for the Instagram User Reel or Feed posts you collect. By specifying the include option in your query, you can retrieve comments associated with each post, providing a more comprehensive view of user interactions.
For more details, refer to the documentation for Instagram User Reels and Instagram User Feed.
Updated 12 days ago