vetric_instagram_hashtag_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_hashtag_feed_sections",
    "id": "2624962555020437604",
    "content": {
        "body": "Giornata speciale con primo premio 😀😀 complimenti cognatino 😀😀#golfclubcansiglio #golf #clubhause #copppa #vittoriaincasa",
        "comments_count": 1,
        "likes_count": 11
    },
    "author": {
        "handle": "vania.zaia",
        "profile_image_source": "https://scontent-mia3-1.cdninstagram.com/v/t51.2885-19/441369620_768836825353720_6455514903732147408_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=scontent-mia3-1.cdninstagram.com&_nc_cat=104&_nc_ohc=V6zOJ1DVRFYQ7kNvgGgiQeb&edm=AMKDjl4BAAAA&ccb=7-5&oh=00_AYDB-hsxBTrkn-NZIfsQFG6tsk5GxJ4YuXfJmolaoFNyIA&oe=66AD9924&_nc_sid=472314",
        "verified": false,
        "name": "Vania Zaia",
        "userid": "6724690893",
        "id": "6724690893",
        "url": "https://instagram.com/vania.zaia/"
    },
    "instagram": {
        "user_id": "6724690893"
    },
    "facebook": {
        "userid": "17934273703600398"
    }
}

Data collection job creation request

Returns Instagram posts related to a hashtag. The query value is expected to be a hashtag name, can be obtained from hashtag 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_hashtag_feed_sections",
			     "query": {
			            "query": "coppa"
			        },
			    "job_type": "oneTime"
				}'

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