The unique identifier of the requested Tweet.

"id": "1050118621198921728"

text (default)

string

The actual UTF-8 text of the Tweet. See twitter-text for details on what characters are currently considered valid.

"text": "To make room for more expression, we will now count all emojis as equal—including those with gender‍‍‍ ‍‍and skin tone modifiers 👍🏻👍🏽👍🏿. This is now reflected in Twitter-Text, our Open Source library. \n\nUsing Twitter-Text? See the forum post for detail: https://t.co/Nx1XZmRCXA"

Keyword extraction and sentiment analysis/classification.

attachments

object

Specifies the type of attachments (if any) present in this Tweet.

"attachments": {
    "poll_ids": [
        "1199786642468413448"
    ]
}

"attachments": {
    "media_keys": [
        "3_1136048009270239232"
    ]
}

Understanding the objects returned for requested expansions 

author_id

string

The unique identifier of the User who posted this Tweet.

"author_id": "2244994945"

Hydrating User object, sharing dataset for peer review

context_annotations

array

Contains context annotations for the Tweet.

"context_annotations": [

    {

        "domain": {

            "id": "65",

            "name": "Interests and Hobbies Vertical",

            "description": "Top level interests and hobbies groupings, like Food or Travel"
         },

        "entity": {

            "id": "834828264786898945",

            "name": "Drinks",

            "description": "Drinks"

        }

    },

    {

        "domain": {

            "id": "66",

            "name": "Interests and Hobbies Category",

            "description": "A grouping of interests and hobbies entities, like Novelty Food or Destinations"
         },

        "entity": {

            "id": "834828445238431744",

            "name": "Generic Drinks",

            "description": "Generic Drinks"

        }

    }

]

Entity recognition/extraction, topical analysis 

conversation_id

string

The Tweet ID of the original Tweet of the conversation (which includes direct replies, replies of replies).

"conversation_id": "1050118621198921728"

Use this to reconstruct the conversation from a Tweet.

created_at

date (ISO 8601)

Creation time of the Tweet.

"created_at": "2019-06-04T23:12:08.000Z"

This field can be used to understand when a Tweet was created and used for time-series analysis etc. 

entities

object

Entities which have been parsed out of the text of the Tweet. Additionally see entities in Twitter Objects.

"entities": {
    "annotations": [
        {
           "start": 144,
           "end": 150,
           "probability": 0.626,
           "type": "Product",
           "normalized_text": "Twitter"
        }
    ],
   "cashtags": [
        {
            "start": 18,
            "end": 23,
            "tag": "twtr"
        }
    ],
    "hashtags": [
        {
            "start": 0,
            "end": 17,
            "tag": "blacklivesmatter"
        }
    ],
    "mentions": [
        {
            "start": 24,
            "end": 35,
            "tag": "TwitterDev"
        }
    ],
    "urls": [
        {
           "start": 44,
           "end": 67,
           "url": "https://t.co/crkYRdjUB0",
           "expanded_url": "https://twitter.com",
           "display_url": "twitter.com",
           "status": "200",
           "title": "bird",
           "description": "From breaking news and entertainment to sports and politics, get the full story with all the live commentary.",
            "unwound_url": "https://twitter.com"
        }
    ]
}

Entities are JSON objects that provide additional information about hashtags, urls, user mentions, and cashtags associated with a Tweet. Reference each respective entity for further details.

Please note that all start indices are inclusive. The majority of end indices are exclusive, except for entities.annotations.end, which is currently inclusive. We will be changing this to exclusive with our v3 bump since it is a breaking change. 

geo

object

Contains details about the location tagged by the user in this Tweet, if they specified one.

"geo": {
       "coordinates": {
           "type": "Point",
           "coordinates": [
               -73.99960455,
               40.74168819
           ]
       },
       "place_id": "01a9a39529b27f36"
   }

Determine if a Tweet is related to a named location with corresponding geo coordinates.

in_reply_to_user_id

string

If the represented Tweet is a reply, this field will contain the original Tweet’s author ID. This will not necessarily always be the user directly mentioned in the Tweet.

"in_reply_to_user_id": "2244994945"

Use this to determine if this Tweet was in reply to another Tweet.

lang

string

Language of the Tweet, if detected by Twitter. Returned as a BCP47 language tag.

"lang": "en"

Classify Tweets by spoken language.

non_public_metrics

object

Non-public engagement metrics for the Tweet at the time of the request. 

Requires user context authentication.

"non_public_metrics": {
      "impression_count": 99
      "url_link_clicks": 37
      "user_profile_clicks": 22
 }

Use this to determine the total number of impressions generated for the Tweet.

organic_metrics

object

Engagement metrics, tracked in an organic context, for the Tweet at the time of the request.

Requires user context authentication.

"organic_metrics": {
     "impression_count": 3880,
     "like_count": 8,
     "reply_count": 0,
     "retweet_count": 4
     "url_link_clicks": 3
     "user_profile_clicks": 2
}

Use this to measure organic engagement for the Tweet.

possibly_sensitive

boolean

This field indicates content may be recognized as sensitive. The Tweet author can select within their own account preferences and choose “Mark media you tweet as having material that may be sensitive” so each Tweet created after has this flag set.

This may also be judged and labeled by an internal Twitter support agent.

"possibly_sensitive": false

Studying circulation of certain types of content.

promoted_metrics

object

Engagement metrics, tracked in a promoted context, for the Tweet at the time of the request.

Requires user context authentication.

"promoted_metrics": {
      "impression_count": 1082,
      "like_count": 187,
      "reply_count": 6,
      "retweet_count": 25
      "url_link_clicks": 30
      "user_profile_clicks": 2
 }

Use this to measure engagement for the Tweet when it was promoted.

public_metrics

object

Public engagement metrics for the Tweet at the time of the request.

"public_metrics" : {
         "retweet_count": 8,
         "reply_count": 2,
         "like_count": 39,
         "quote_count": 1
 }

Use this to measure Tweet engagement.

referenced_tweets

array

A list of Tweets this Tweet refers to. For example, if the parent Tweet is a Retweet, a Retweet with comment (also known as Quoted Tweet) or a Reply, it will include the related Tweet referenced to by its parent.

"referenced_tweets": [
       {
           "type": "replied_to",
           "id": "1242125486844604425"
       }
   ]

"referenced_tweets": [
       {
           "type": "quoted",
           "id": "1265712391578214400"
       }
   ]


This field can be used to understand conversational aspects of retweets etc.

source

string

The name of the app the user Tweeted from.

"source": "Twitter Web App"

Determine if a Twitter user posted from the web, mobile device, or other app.

withheld

object

When present, contains withholding details for withheld content.

"withheld": {
       "copyright": false,
       "country_codes": [
          "IN"
       ]
   }