I am working on a Python script to collect data from an API, specifically tweets from Twitter. Currently, my script retrieves all the available tweets within a specified time range. However, I want to modify the script to collect a specific number of tweets per hour, with a controlled time step.
Here's a simplified version of my code:
# Code snippet
import requests
import time
from datetime import datetime
from datetime import timedelta
search_url = "https://api.twitter.com/2/tweets/search/all"
sleep_seconds = 300 # Sleep time in case of reaching API limit
# Other code...
def main(loop_counter, total_tweets):
jobs = pd.read_csv("capture_jobs.csv", sep=";")
for index, row in jobs.iterrows():
start_date = datetime.strptime(row["start"], "%d/%m/%Y").strftime("%Y-%m-%d")
end_date = datetime.strptime(row["end"], "%d/%m/%Y").strftime("%Y-%m-%d")
timestep_minutes = 60 # Set the desired time step in minutes
current_time = datetime.strptime(row["start_time"], "%H:%M:%S")
while current_time <= datetime.strptime(row["end_time"], "%H:%M:%S"):
start_time = current_time.strftime("%H:%M:%S")
current_time += timedelta(minutes=timestep_minutes)
end_time = current_time.strftime("%H:%M:%S")
# Rest of the code...
# Sleeping to control the time step between iterations
time.sleep(timestep_minutes * 60) # Convert minutes to seconds
# Rest of the code...
if __name__ == "__main__":
main(1, 0)
How can I modify this code to achieve the desired time step for data collection? For example, if I want to collect 100 tweets per hour, how can I control the time step between API requests to ensure that I collect data within each hour and then start collecting data within the next hour?
Any help or suggestions would be greatly appreciated.
Note: I have already reviewed the code and the existing questions on Stack Overflow, but I couldn't find a suitable solution that fits my requirements.
Let me know if you need any further clarification or information.