Conversations by Influencer API

This API returns the relevant conversations a specified Right Relevance Influencer engaged in on Twitter over the previous 2 weeks.

Resource URL

GET https://api.rightrelevance.com/v2/conversations/search?screen_name=<screen_name>&access_token=<token> 

Parameters

screen_name=twitter_screen_name

(required)
Lookup conversations shared by an Influencer specified by Twitter screen_name.

Example Values: pmarca, DalaiLama

Example Request

GET https://api.rightrelevance.com/v2/conversations/search?screen_name=nntaleb;&access_token=PLACE_ACCESS_TOKEN

Example Response

{
  num_found: 96,
  conversations: [
  
    (... more conversations threads ... ),
    
    {
      tweeter_id: "381289719",
      tweeter_screen_name: "nntaleb",
      replies_count: 6,
      retweet_count: 17,
      favorite_count: 14,
      tweet_text: "Who would you avoid in a street fight? A young economist who looks like an economist A 75 y.o. who deadlift >405 lbs",
      tweet_id: "759404950816522241",
      tweet_time: "1469891223",
      conv_thread: [
        {
          tweeter_id: "381289719",
          tweeter_screen_name: "nntaleb",
          replies_count: "3",
          retweet_count: "44",
          favorite_count: "70",
          tweet_text: "2/You don't become economist by accident but genetic mutation: low curiosity/erudition, inability to be bored by boring stuff, colorlessness",
          tweet_time: "1469893060",
          tweet_id: "759412655442591744",
          conv_thread: [
            {
              tweeter_id: "1547177328",
              tweeter_screen_name: "davidwhitdennis",
              replies_count: "0",
              retweet_count: "0",
              favorite_count: "0",
              tweet_text: "You speak of Trump I presume? @nntaleb",
              tweet_time: "1469923167",
              tweet_id: "759538930869874688",
              conv_thread: [ ],
              tweeter_name: "Huguenot",
              id: "http://twitter.com/davidwhitdennis",
              tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/555589699071258626/lPC_vY2s_normal.png",
              tweeter_tags: [
                "ted cruz:66:48",
                "hillary clinton:40:5"
              ],
              tweeter_description: "Accounting and IT Pro retired contractor primarily.Technical Engineer II Glaxo. IBM, MCI, Sprint, Morgan Stanley, Merrill Lynch. Re Tweets are not mine. Yours?",
              tweeter_followers_count: 5388,
              tweeter_score: "10"
            },
            {
              tweeter_id: "1547177328",
              tweeter_screen_name: "davidwhitdennis",
              replies_count: "0",
              retweet_count: "0",
              favorite_count: "0",
              tweet_text: "There are economists who would tell you what they want to hear, then there are economists. @nntaleb",
              tweet_time: "1469923235",
              tweet_id: "759539217252823040",
              conv_thread: [ ],
              tweeter_name: "Huguenot",
              id: "http://twitter.com/davidwhitdennis",
              tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/555589699071258626/lPC_vY2s_normal.png",
              tweeter_tags: [
                "ted cruz:66:48",
                "hillary clinton:40:5"
              ],
              tweeter_description: "Accounting and IT Pro retired contractor primarily.Technical Engineer II Glaxo. IBM, MCI, Sprint, Morgan Stanley, Merrill Lynch. Re Tweets are not mine. Yours?",
              tweeter_followers_count: 5388,
              tweeter_score: "10"
            },
            {
              tweeter_id: "419084104",
              tweeter_screen_name: "davidbcollum",
              replies_count: "0",
              retweet_count: "0",
              favorite_count: "0",
              tweet_text: "@nntaleb Sugar coating it tonight I see...",
              tweet_time: "1469934064",
              tweet_id: "759584637446451200",
              conv_thread: [ ],
              tweeter_name: "Dave Collum",
              id: "http://twitter.com/davidbcollum",
              tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/706831821426847744/PYfA5hmg_normal.jpg",
              tweeter_tags: [
                "zerohedge:85:27",
                "precious metals:78:72",
                "commodity markets:74:130",
                "bond markets:73:54",
                "economics:72:239"
              ],
              tweeter_description: "Prof of Organic Chemistry @ Cornell. Libertarian. Fan of Austrian business cycle, Zero Hedge, gold. *trigger warning.* dbc6@cornell.edu http://t.co/ui53fE21QO",
              tweeter_followers_count: 5658,
              tweeter_score: "10"
            }
          ],
          tweeter_name: "NassimNicholasTaleb",
          id: "http://twitter.com/nntaleb",
          tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/491605295852834817/_JrjVr6K_normal.jpeg",
          tweeter_tags: [
            "antifragility:98:19",
            "probability:93:28",
            "economics:89:1554",
            "hedge funds:88:252",
            "stock trading:83:200"
          ],
          tweeter_description: "Flaneur, with focus on probability (philosophy), probability (mathematics), probability (logic),probability (reallife), deadlifts, Lebanese wine, dead languages",
          tweeter_followers_count: 139222,
          tweeter_score: "10"
        },
        ... (more internal threads) ...
        {
          tweeter_id: "4826579784",
          tweeter_screen_name: "huffshitpost",
          replies_count: "0",
          retweet_count: "0",
          favorite_count: "3",
          tweet_text: "@nntaleb avoid the economist, you'll have a hefty manslaughter lawsuit on your hands after the first hit kills him",
          tweet_time: "1469896241",
          tweet_id: "759425994361012224",
          conv_thread: [ ],
          tweeter_name: "Huffington Shitpost",
          id: "http://twitter.com/huffshitpost",
          tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/731268122829717505/5OcMI0Hn_normal.jpg",
          tweeter_tags: [
            "racism:72:94",
            "socialism:35:3"
          ],
          tweeter_description: "Bringing You The Latest News, And Needlessly Applying Intersectional Politics To Virtually Every Dimension Of Modern Life",
          tweeter_followers_count: 3513,
          tweeter_score: "10"
        },
        {
          tweeter_id: "211106542",
          tweeter_screen_name: "dsquareddigest",
          replies_count: "1",
          retweet_count: "0",
          favorite_count: "0",
          tweet_text: "@nntaleb This is a real "antifragility" bout. The economist might get a beating, but a 75 yr old with poor cardio is taking a risk of death.",
          tweet_time: "1469897738",
          tweet_id: "759432275188674560",
          conv_thread: [
              {
                tweeter_id: "380437111",
                tweeter_screen_name: "datapk",
                replies_count: "0",
                retweet_count: "0",
                favorite_count: "0",
                tweet_text: "@dsquareddigest What if the 75 year old with poor cardio ends it in under 30 seconds, though? @nntaleb",
                tweet_time: "1469898715",
                tweet_id: "759436373212311552",
                conv_thread: [ ],
                tweeter_name: "PK",
                id: "http://twitter.com/datapk",
                tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/508291243634200577/ZDv2hBoo_normal.jpeg",
                tweeter_tags: [
                  "personal finance:76:191"
                ],
                tweeter_description: "Investment tools, finance research, data visualizations, and a healthy amount of sarcasm. Writer at @DQYDJHQ",
                tweeter_followers_count: 966,
                tweeter_score: "10"
              }
            ],
          tweeter_name: "Dan Davies",
          id: "http://twitter.com/dsquareddigest",
          tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/1159199438/ddprofpc_normal.jpg",
          tweeter_tags: [
            "european central bank:87:122",
            "eurozone crisis:86:159",
            "economics:83:797",
            "financial times:83:135",
            "business economics:83:160"
          ],
          tweeter_description: "Senior Research Advisor, Frontline Analysts. Economics, finance, jokes. Warning: often a high output feed.",
          tweeter_followers_count: 14477,
          tweeter_score: "10"
        },
        ... (more internal threads) ...
        {
          tweeter_id: "177065324",
          tweeter_screen_name: "jz_bz",
          replies_count: "0",
          retweet_count: "0",
          favorite_count: "0",
          tweet_text: "@nntaleb The 75 y.o. he's had time to learn a lot of dirty tricks and has less to lose + he can deadlift 2.5x my body weight.",
          tweet_time: "1469918231",
          tweet_id: "759518229647749120",
          conv_thread: [ ],
          tweeter_name: "jz",
          id: "http://twitter.com/jz_bz",
          tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/583493628426715137/GrzUIxcG_normal.png",
          tweeter_tags: [
            "financial markets:39:5",
            "platinum metal:35:1"
          ],
          tweeter_description: "PGP key fingerprint: AD50 6675 41D2 DC42 1B10 E538 B5BC 9505 95FA 0FA9 Signal: BY60BPFvgC8vzRGaSHXXHKe0qy+F/gro8w463kdbAPge",
          tweeter_followers_count: 22352,
          tweeter_score: "10"
        }
      ],
      id: "http://twitter.com/nntaleb",
      tweeter_name: "NassimNicholasTaleb",
      tweeter_profile_image_url: "http://pbs.twimg.com/profile_images/491605295852834817/_JrjVr6K_normal.jpeg",
      tweeter_tags: [
        "antifragility:98:19",
        "probability:93:28",
        "economics:89:1554",
        "hedge funds:88:252",
        "stock trading:83:200"
      ],
      tweeter_description: "Flaneur, with focus on probability (philosophy), probability (mathematics), probability (logic),probability (reallife), deadlifts, Lebanese wine, dead languages",
      tweeter_followers_count: 139222,
      tweeter_score: "10"
    },
    (... more conversations threads ... )
  ]
}

Response Fields

Returns set of relevant conversations the Influencer engaged in.

numFound Total number of relevant conversations the Influencer engaged-in
conversations List of relevant conversations the Influencer engaged-in
conv_thread Recursive tree-shaped object within each conversation

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