If you’re interested in tracking trends on Twitter for a specific topic, query or hashtag, you may have considered scraping ALL the Tweets using either the 7-day Tweet Search Scraper or the Historical Archive Tweet Scraper.
While these will certainly give you more than enough data to understand trends over time, you’ll need to do a lot of post-processing if you only care about the number of Tweets over time (e.g. how many people Tweeted with a certain hashtag each day for the past year).
Fortunately though, Twitter has made this easy to collect using the scraper we have implemented here. It works just like the search scrapers, where you can use the exact same query syntax and features, but instead of returning the raw Tweets, this API endpoint will return the date range and number of Tweets for that range. You can also control the granularity, e.g. get the number of Tweets per hour, day or minute!
/2/tweets/search/{{recent_or_all}}
/2/users/{{user_id}}/followers
/2/users/{{user_id}}/{{tweets_or_mentions}}
/2/users/by/username/{{username}}
/2/users/{{user_id}}/following
/1.1/tweets/search/fullarchive/{{environment_label}}.json
/1.1/search/tweets.json
/2/users/{{user_id}}/liked_tweets
/2/spaces/search
/1.1/lists/members.json
/1.1/statuses/retweets/{{tweet_id}}.json
/2/tweets/{{tweet_id}}/liking_users
/1.1/trends/place.json
/2/tweets/counts/{{recent_or_all}}
/1.1/users/lookup.json
/1.1/geo/search.json
/2/spaces/{{space_id}}
/1.1/trends/closest.json
/2/tweets/{{tweet_id}}
/2/tweets/{{tweet_id}}/retweeted_by
/2/users/{{user_id}}
/1.1/followers/list.json
/1.1/friends/list.json
/1.1/lists/memberships.json
/1.1/lists/list.json
/1.1/lists/ownerships.json
/1.1/statuses/user_timeline.json