Vetric Instagram User Search

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_search",
    "id": "1399661404",
    "author": {
        "handle": "botbotbotbotbotbotbot",
        "profile_image_source": "https://scontent-lga3-2.cdninstagram.com/v/t51.2885-19/10488725_313528648805724_1356578836_a.jpg?_nc_ht=scontent-lga3-2.cdninstagram.com&_nc_cat=100&_nc_ohc=swBvTdbg1YgQ7kNvgECkxoW&edm=AM7KJZYBAAAA&ccb=7-5&oh=00_AYAQdeIu2wLtVcw53OvxgQRNxQQWnHTaMnplBxBqyjpbiw&oe=669F08B4&_nc_sid=8ec269",
        "verified": false,
        "url": "https://instagram.com/botbotbotbotbotbotbot/"
    }
}

Data collection job creation request

Returns Instagram users matching a keyword. The query value is expected to be keyword to search Instagram users.

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_search",
			    "query": {
			            "query": "instagram"
			        },
			    "job_type": "oneTime"
				}'

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