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Vetric Instagram User Feed

Retrieve Instagram posts from the user's feed

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The Vetric Instagram User Feed allows you to return items from the user feed by his user id.

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

You will need a Vetric API key to use this component. If you don't have one reach out to [email protected] and our team will help you with that.

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 NameDescription
user_idInstagram user ID
max_documentsSet a limit for the number of documents that will be fetched for the search.

Examples

Retrieve posts from feed

Retrieve posts from feed of the user with id '184692323'.

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_user_feed",
          "query": {
            "include": [
              {
                "data_source": "vetric_instagram_post_comments"
              }
            ],
            "query": "184692323"
          },
          "job_type": "oneTime",
          "max_documents": 10
        }'

For more details on creating data collection jobs, see Job Management.

Additional Details

Compatible Metadata Fields

Applicable Metadata CategoriesCompatible
SourceYes
ContentYes
AuthorYes
PersonNo
EnrichmentYes
OrganizationNo
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.

Including post comments

Similar to previous examples on fetching Instagram user posts, it is possible to include comments found on each of the user posts fetched.

Data Collection Job Example

This job query will fetch up to 10 Instagram Posts for user id '787132', then include up to 5 Comments from each of the 10 posts found.

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Note

You can specify the max_documents parameter to control the volume of data retrieved in both the main and included queries.

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",
	"max_documents": 10,
	"query": {
		"query": "787132",
		"include": [
			{
				"data_source": "vetric_instagram_post_comments",
				"max_documents": 5
			}
		]
	},
	"job_type": "oneTime"
}'

Important: Replace the PIPELINE_ID and COMPONENT_ID values with those corresponding to your pipeline.

Data Collection Job Results

The initial query run would first fetch up to 10 documents from vetric_instagram_user_feed data source

{
  "documents": [
    {
      "data_source": "vetric_instagram_user_feed",
      "id": "3465979734695597050_787132",
      "doc_date": "2024-09-27T00:30:11Z",
      "content": {
        "published": "2024-09-27T00:30:11Z",
        "body": "For the first time, scientists observed the brain of one woman throughout pregnancy—from pre-conception to postpartum—scanning her brain 26 times. \n\nThe study found that gray matter in the brain decreased by more than 4 percent during pregnancy while white matter strengthened—changes that could impact cognition, sensation, learning, and interaction with newborns.\n\nWith more than 85 percent of women experiencing pregnancy in their lifetime, understanding its effects on mental health and thinking is essential. Learn more at the link in bio.\n\nPhotograph by greg801n, Getty Images",
        "media_id": "3463427961463821516",
        "comments_count": 646,
        "likes_count": 57155
      },
      "author": {
        "handle": "natgeo",
        "profile_image_source": "https://scontent-dfw5-1.cdninstagram.com/v/t51.2885-19/441272846_3660325754227424_608588627427268733_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=scontent-dfw5-1.cdninstagram.com&_nc_cat=1&_nc_ohc=cyKc1c_W14wQ7kNvgErANms&_nc_gid=d71ef15ffaf044b99c4737b0cf3e7074&edm=ABmJApABAAAA&ccb=7-5&oh=00_AYDON588sTVK88A-Mq9vMzk0onqsirPXMXGJToPjTepPFw&oe=66FC8D77&_nc_sid=b41fef",
        "verified": true,
        "protected": false,
        "name": "National Geographic",
        "userid": "787132",
        "url": "https://instagram.com/natgeo/"
      },
      "facebook": {
        "userid": "18005809307466248"
      },
      "source": {
        "link": "https://instagram.com/p/DAZojSFO9P6/"
      }
    }
  ]
}

Partial Response example of collecting Instagram User Feed.

Subsequent queries then would start based on fetched user posts, where each user post, would fetch up to 5 documents from vetric_instagram_post_comments source, by matching the user post.

{
  "documents": [
    {
      "data_source": "vetric_instagram_post_comments",
      "id": "18019083575265676",
      "author": {
        "userid": "28569666463",
        "handle": "qbangrl13",
        "name": "ɐɯıəʎ",
        "profile_image_source": "https://scontent-dfw5-1.cdninstagram.com/v/t51.2885-19/460686175_1555771215366982_2989984919338633558_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=scontent-dfw5-1.cdninstagram.com&_nc_cat=110&_nc_ohc=pMblR8AEHKQQ7kNvgH7Gvtv&edm=AId3EpQBAAAA&ccb=7-5&oh=00_AYBjMp-YqZZNWAiucGjQbOk6p5Y3SctYV8jCv4PBtn910Q&oe=66FC88F0&_nc_sid=f5838a",
        "verified": false,
        "is_mentionable": false,
        "url": "https://www.instagram.com/qbangrl13"
      },
      "doc_date": "2024-09-23T12:37:44.000Z",
      "content": {
        "published": "2024-09-23T12:37:44.000Z",
        "body": "I have four.. been keeping them since I was a teenager. I love these lil guys ❤️",
        "likes_count": 1,
        "child_comments_count": 0,
        "related_post_id": "3463427961463821516"
      },
      "instagram": {
        "content_type": "comment"
      }
    }
  ]
}

Important: Only a single include object can be requested per query.

Updated 10 days ago