💜All Farcaster Users

Learn how to use Airstack to show Trending Casts on Farcaster based on various engagement criteria.

Get Trending Farcaster Casts For All Farcaster Users Tutorial

Criteria

Airstack provides multiple ways to fetch Trending Casts

Name	Value	Description
criteria	social_capital_value | likes | recasts | replies | likes_recasts_replies |	This will calculate and sort the Farcaster casts based on the chosen criteria: - social_capital_value(Recommended): the social capital value associated with the cast - likes: number of likes on the cast - recasts: number of recasts on the cast - replies: number of replies on the cast - likes_recasts_replies: number of total likes, recasts, and replies on the cast combined
timeFrame	one_hour | two_hours | four_hours | eight_hours | twelve_hours | one_day | two_days | seven_days	Only fetch trending casts that have the most engagement within the chosen time frame, e.g. one_hour will fetch trending Farcaster casts with the most engagement for the last 1 hour.

Social Capital Value

A new metric, Social Capital Value (SCV), has been introduced to identify high-quality trending broadcasts. SCV incorporates the authority of users, measured by another metric, Social Capital Scores (SCS), who engage with the broadcast based on on-chain data.

For additional information on SCV and SCS, please refer to the following section here.

Pre-requisites

• An Airstack account

• Basic knowledge of GraphQL

Get Started

JavaScript/TypeScript/Python

If you are using JavaScript/TypeScript or Python, Install the Airstack SDK:

npm

React

npm install @airstack/airstack-react

Node

npm install @airstack/node

yarn

React

yarn add @airstack/airstack-react

Node

yarn add @airstack/node

pnpm

React

pnpm install @airstack/airstack-react

Node

pnpm install @airstack/node

pip

pip install airstack

Then, add the following snippets to your code:

React

import { init, useQuery } from "@airstack/airstack-react";

init("YOUR_AIRSTACK_API_KEY");

const query = `YOUR_QUERY`; // Replace with GraphQL Query

const Component = () => {
  const { data, loading, error } = useQuery(query);

  if (data) {
    return <p>Data: {JSON.stringify(data)}</p>;
  }

  if (loading) {
    return <p>Loading...</p>;
  }

  if (error) {
    return <p>Error: {error.message}</p>;
  }
};

Node

import { init, fetchQuery } from "@airstack/node";

init("YOUR_AIRSTACK_API_KEY");

const query = `YOUR_QUERY`; // Replace with GraphQL Query

const { data, error } = await fetchQuery(query);

console.log("data:", data);
console.log("error:", error);

Python

import asyncio
from airstack.execute_query import AirstackClient

api_client = AirstackClient(api_key="YOUR_AIRSTACK_API_KEY")

query = """YOUR_QUERY""" # Replace with GraphQL Query

async def main():
    execute_query_client = api_client.create_execute_query_object(
        query=query)

    query_response = await execute_query_client.execute_query()
    print(query_response.data)

asyncio.run(main())

Other Programming Languages

To access the Airstack APIs in other languages, you can use https://api.airstack.xyz/gql as your GraphQL endpoint.

Fetch Trending Casts

Once you have the criteria and timeFrame parameters prepared, simply use the query below and add the parameters as variables:

Try Demo

https://app.airstack.xyz/query/31Y5aCzGg4

Show all trending Farcaster casts in the last 1 hour sorted by social capital value

Code

Query

query MyQuery(
  $criteria: TrendingCastsCriteria!
  $timeFrame: TrendingCastTimeFrame!
) {
  TrendingCasts(
    input: { blockchain: ALL, criteria: $criteria, timeFrame: $timeFrame }
  ) {
    TrendingCast {
      criteria
      criteriaCount
      hash
      id
      castValueFormatted
      castValueRaw
      timeFrom
      timeTo
      cast {
        text
        mentions {
          fid
          position
        }
        embeds
        url
      }
    }
  }
}

Variables

{
  "timeFrame": "one_hour",
  "criteria": "social_capital_value"
}

Response

{
  "data": {
    "TrendingCasts": {
      "TrendingCast": [
        {
          "criteria": "social_capital_value",
          "criteriaCount": 10476.43430537895,
          "hash": "0x1f48c83b51e395c433f984ab707bfc84cece7cb5",
          "id": "0x1f48c83b51e395c433f984ab707bfc84cece7cb5",
          "castValueFormatted": 10476.43430537895,
          "castValueRaw": "1047643430537860",
          "timeFrom": "2024-04-24T17:30:00Z",
          "timeTo": "2024-04-25T10:00:00Z",
          "cast": {
            "text": "FARCON REQUEST\n\nif you are building FC-native or -integrated project, please reply to this cast with:\n\n- the URL to your project (could be warpcast profile, but pls have logo on whatever URL you share)\n- the usernames of the people on your team\n\nplease do ASAP as we're cooking up something fun",
            "mentions": [],
            "embeds": [],
            "url": "https://warpcast.com/ted/0x1f48c83b"
          }
        }
        // Other trending Farcaster casts
      ]
    }
  }
}

🎉 🥳 Congratulations you've just fetched all the trending Farcaster casts and integrate it into your application!

Developer Support

If you have any questions or need help regarding integrating or building trending casts into your application, please join our Airstack's Telegram group.

More Resources

• TrendingCasts API Reference