vetric_instagram_post_comments

Comments on Instagram post

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
    },
    "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.

Updated 9 days ago