Парсим Тинькофф пульс

pip install tpulse --upgrade

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

from tpulse import TinkoffPulse
from httpx import HTTPStatusError
from time import sleep


pulse = TinkoffPulse()

N = 300
cursor = 999999999
raw_data = []

KEYS = [
    "id",
    "nickname",
    "likesCount",
    "commentsCount",
    "inserted",
]

for _ in range(N):
    try:
        response = pulse.get_posts_by_ticker("TCSG", cursor)
        cursor = response["nextCursor"]
        posts = response["items"]
        for post in posts:
            data = {
                key: post[key] for key in KEYS
            }
            raw_data.append(data)
    except HTTPStatusError:
        pass
    sleep(0.25)

base_df = pd.DataFrame(raw_data)
base_df['inserted'] = pd.to_datetime(base_df["inserted"].str[:10])
daily_counts = base_df.groupby('inserted').size().reset_index(name='count')

plt.figure(figsize=(15, 6))
plt.plot(daily_counts['inserted'], daily_counts['count'], marker='o', linestyle='-', color='r')

plt.xlabel('Дата')
plt.ylabel('Количество публикаций')
plt.title('График количества публикаций по дням')
plt.grid(True)
plt.show()

plt.figure(figsize=(15, 6))
plt.plot(daily_counts['inserted'], daily_counts['count'], marker='o', linestyle='-', color='r', label='Количество публикаций')

plt.xlabel('Дата')
plt.ylabel('Количество публикаций')
plt.title('График количества публикаций по дням')
plt.grid(True)

x = np.arange(len(daily_counts))
y = daily_counts['count']

coefficients = np.polyfit(x, y, 1)
trend_line = np.polyval(coefficients, x)

plt.plot(daily_counts['inserted'], trend_line, linestyle='--', color='g', label='Линия тренда')

plt.legend()
plt.show()