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Vetrix X (Twitter) Replies

X (Twitter) Replies of a tweet or a reply

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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_x_replies",
    "source": {
        "link": "https://x.com/garrytan/status/1676361987578814464"
    },
    "id": "1676361987578814464",
    "twitter": {
        "post_identifier": "1676361987578814464",
        "quote_count": 0,
        "reply_count": 4,
        "retweet_count": 10,
        "user_id": "11768582",
        "reply_link": "https://twitter.com/garrytan/status/1676361980486250496",
        "tweet_type": "REPLY"
    },
    "doc_date": "2023-07-04T22:46:57Z",
    "content": {
        "published": "2023-07-04T22:46:57Z",
        "body": "Self-authoring is the end state goal: a true founder who endures and perseveres has achieved this for themselves https://t.co/ClSdJXqzKF",
        "likes_count": 105,
        "views_count": 16536,
        "age_restricted": false,
        "image_urls": [
            "https://twitter.com/garrytan/status/1676361987578814464/photo/1"
        ]
    },
    "author": {
        "handle": "garrytan",
        "name": "Garry Tan",
        "profile_image_source": "https://pbs.twimg.com/profile_images/1775927507855998976/v1mOCezH_normal.jpg",
        "verified": true,
        "bio": "President & CEO @ycombinator —Founder @Initialized—designer/engineer who helps founders—YouTuber—San Francisco Democrat accelerating the boom loop—e/acc",
        "location": "San Francisco, CA",
        "followers": 465464,
        "following": 4512,
        "protected": false,
        "bio_links": [
            "https://youtube.com/garrytan?sub_confirmation=1"
        ],
        "url": "https://twitter.com/garrytan"
    },
    "enrichment": {
        "language": "en"
    }
}

Creating Data Collection Job

This example demonstrates a job query that will fetch replies for tweet ID 1676361980486250496 from vetric_x_replies 

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 twitter data collection",
            "data_source": "vetric_x_replies",
            "query": {
                "query": "1676361980486250496"
            },
            "job_type": "oneTime"
        }'

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

📘

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

Include Replies of a Reply

vetric_x_replies connector supports inclusion of replies of the twitter tweet ID provided in query. Users can retrieve up to a specified number of replies for the tweet.

Creating Data Collection Job with 'Include' replies

This example demonstrates a job query that will fetch replies of a tweet with ID 1676361980486250496 and then retrieve up to 5 replies from each of the replies retrieved for tweet ID 1676361980486250496 

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 twitter data collection",
            "data_source": "vetric_x_replies",
            "query": {
                "query": "1676361980486250496",
                "include": [
                {
                  "data_source": "vetric_x_replies",
                  "max_documents": 5
                }
              ]
            },
            "job_type": "oneTime"
        }'

When replies of a reply are retrieved, the reply ID they are related to, is added to content.related_post_id field.

{
  "data_source": "vetric_x_replies",
  "meta_data": {
      "job_label": "Label",
      "job_id": "job-id"
  },
  "source": {
      "link": "https://x.com/olivia_p_walker/status/1676376503578181633"
  },
  "id": "1676376503578181633",
  "twitter": {
      "post_identifier": "1676376503578181633",
      "quote_count": 0,
      "reply_count": 0,
      "retweet_count": 0,
      "user_id": "1225191609798733830",
      "reply_link": "https://twitter.com/garrytan/status/1676361980486250496",
      "tweet_type": "REPLY"
  },
  "doc_date": "2023-07-04T23:44:38Z",
  "content": {
      "published": "2023-07-04T23:44:38Z",
      "found_by": "51b6665e-8f4f-48be-ac18-19268b614033",
      "body": "@garrytan ❤️",
      "likes_count": 0,
      "views_count": 682,
      "mentions": [
          "garrytan"
      ],
      "related_post_id": "1676361980486250496"
  },
  "author": {
      "handle": "olivia_p_walker",
      "name": "Olivia P. Walker",
      "profile_image_source": "https://pbs.twimg.com/profile_images/1840557392133496832/a6H913di_normal.jpg",
      "verified": true,
      "bio": "Technology and public policy analyst. Ex-BOD; VP of public policy at Confluence Ballet. @usf_spa MPA Alumni.",
      "location": "Charlotte, NC; Tampa, FL ",
      "followers": 5429,
      "following": 335,
      "protected": false,
      "bio_links": [
          "https://www.usf.edu/arts-sciences/departments/public-affairs/mpa/curriculum.aspx"
      ],
      "url": "https://twitter.com/olivia_p_walker"
  },
  "enrichment": {
      "language": "qme"
  }
}

Updated about 21 hours ago