Vetric Instagram User Feed

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_user_feed",
  "id": "3374748632723463942_184692323",
  "doc_date": "2024-05-24T03:38:20Z",
  "content": {
    "published": "2024-05-24T03:38:20Z",
    "body": "A POEM FOR A MONSTER\n\nIf you could walk with air under your feet\nYou’d find imagination is complete\nWith buoyancy and complicated turns\nWith heartbreak always nudging us to yearn\n\nI found a way back to myself again\nWith different tones, and metals I could bend\nI hope that you will love me in this way \nFor who I am—not then—but for today\n\n-LG\n\nOutfit by @selva________________ \nFashion Direction by @nicolaformichetti \nphoto @domenvandevelde \nstyling @hunterclem_ \nhair @fredericaspiras\nmake up @sarahtannomakeup \nnail @mihonails",
    "media_id": "3374748632723463942",
    "comments_count": 18133,
    "likes_count": 1006342
  },
  "author": {
    "handle": "ladygaga",
    "profile_image_source": "https://instagram.fgba1-1.fna.fbcdn.net/v/t51.2885-19/436332564_1083477752743141_8056028257727506515_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=instagram.fgba1-1.fna.fbcdn.net&_nc_cat=1&_nc_ohc=EkS-YZUOoyMQ7kNvgGgsE9Q&gid=4d3a9a3ebbd447dc8df7dd72c473ec90&edm=ABmJApABAAAA&ccb=7-5&oh=00_AYD8w_6dTgtCYgWn0hrVdaANe1c8xLYJt9zP6EVjYCcFkg&oe=66A5DAE6&_nc_sid=b41fef",
    "verified": true,
    "protected": false,
    "name": "Lady Gaga",
    "userid": "184692323",
    "url": "https://instagram.com/ladygaga/"
  },
  "facebook": {
    "userid": "18110591887377755"
  },
  "source": {
    "link": "https://instagram.com/p/C7VhABTt58G/"
  }
}

Data collection job creation request

Returns matched Instagram User Id feed. The query value is expected to be a valid Instagram User Id (can be obtained from Instagram user-search).

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_user_feed",
			    "query": {
			            "query": "184692323"
			        },
			    "job_type": "oneTime"
				}'

Make sure to replace ‘PIPELINE_ID’ and ‘COMPONENT_ID’ variables to the ones associated with your pipeline.