| import requests | |
| import bs4 | |
| import pandas as pd | |
| from dspipe import Pipe | |
| import time | |
| sess = requests.session() | |
| def page_iterator(): | |
| df = pd.read_csv("data/categories_with_pages.csv") | |
| for url, n_pages in zip(df.url, df.last_page): | |
| for n in range(n_pages): | |
| yield (url, n) | |
| def compute(item, f1): | |
| base_url, n = item | |
| category = base_url.split("/")[-1] | |
| url = f"{base_url}/{n}-page" | |
| f1 = f1.parent / f"{category}_{n:04d}.html" | |
| if f1.exists(): | |
| return False | |
| r = sess.get(url) | |
| if not r.ok: | |
| msg = f"Failed to download {url}" | |
| raise ValueError(msg) | |
| with open(f1, "wb") as FOUT: | |
| FOUT.write(r.content) | |
| time.sleep(2) | |
| Pipe(page_iterator(), "data/story_listings", limit=None, shuffle=True, autoname=False)( | |
| compute, 1 | |
| ) | |