Vetric Instagram Hashtag Feed Sections
Search and retrieve Instagram feed sections based on specific hashtags
The Vetric Instagram Hashtag Feed Sections component allows you to search and retrieve feed sections based on specific hashtags.
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
To use this component, you will need a Vetric API key. If you don't have one, please reach out to [email protected] and our team will assist you in obtaining the necessary credentials.
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 Name | Description |
|---|---|
| query | Hashtag IDs to search feed sections for |
| max_documents | Set a limit for the number of documents that will be fetched for the search. |
Examples
Search for feed sections
Search feed sections for the 'paris' hashtag.
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_hashtag_feed_sections",
"query": {
"include": [
{
"data_source": "vetric_instagram_post_comments"
}
],
"query": "paris"
},
"job_type": "oneTime",
"max_documents": 10
}'
For more details on creating data collection jobs, see Job Management.
Additional Details
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.
Updated 12 days ago