File size: 4,649 Bytes
6d9ee7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | import re
import csv
import time
import json
import random
import sys
import html as html_lib
from urllib.request import Request, urlopen
from urllib.parse import urlparse, parse_qs
# Configuration
BASE_URL = "https://tnc-platform.web.app"
SITEMAP_URL = f"{BASE_URL}/sitemap.xml"
USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"
# Firestore API Config
FIRESTORE_API_KEY = "AIzaSyA5AUOLUfpZ9VE0zWhi8-hF7t48_5wnT0s"
FIRESTORE_BASE_URL = "https://firestore.googleapis.com/v1/projects/tnc-platform/databases/(default)/documents/archive"
CSV_FILE = "tnc_seminars.csv"
JSONL_FILE = "tnc_seminars.jsonl"
def fetch_url(url):
"""Fetches URL content with a custom User-Agent."""
try:
req = Request(url, headers={"User-Agent": USER_AGENT})
with urlopen(req, timeout=15) as response:
return response.read().decode("utf-8", errors="replace")
except Exception as e:
print(f"Error fetching {url}: {e}", file=sys.stderr)
return ""
def get_full_description(course_id):
"""Fetches the full description directly from Firestore REST API."""
api_url = f"{FIRESTORE_BASE_URL}/{course_id}?key={FIRESTORE_API_KEY}"
raw_json = fetch_url(api_url)
if not raw_json:
return ""
try:
data = json.loads(raw_json)
# Firestore structure: fields -> description -> stringValue
desc = data.get("fields", {}).get("description", {}).get("stringValue", "")
# Cleanup: Remove "DESCRIPTION:" prefix if present
if desc.upper().startswith("DESCRIPTION:"):
desc = desc[len("DESCRIPTION:"):].strip()
# Unescape HTML entities (like \u003cem\u003e or &)
desc = html_lib.unescape(desc)
# Optional: Remove HTML tags if they exist (like <em>)
desc = re.sub(r'<[^>]+>', '', desc)
return desc.strip()
except Exception as e:
print(f"Error parsing Firestore data for {course_id}: {e}", file=sys.stderr)
return ""
def clean_title(title):
"""Removes the branding suffix from the title."""
for sep in [" — ", " – ", " - "]:
if sep in title:
title = title.split(sep)[0]
return html_lib.unescape(title.strip())
def main():
print("Discovering seminars from sitemap...", file=sys.stderr)
sitemap_xml = fetch_url(SITEMAP_URL)
# Identify all course URLs
# Pattern: https://tnc-platform.web.app/archive/course.html?id=13106
course_urls = re.findall(r'<loc>(https://tnc-platform.web.app/archive/course.html\?id=(\d+))</loc>', sitemap_xml)
# Deduplicate and sort
seen_ids = set()
unique_courses = []
for url, cid in course_urls:
if cid not in seen_ids:
seen_ids.add(cid)
unique_courses.append((url, cid))
unique_courses.sort(key=lambda x: x[1], reverse=True) # Newest first
print(f"Discovered {len(unique_courses)} seminars.", file=sys.stderr)
if not unique_courses:
print("No seminar URLs found in sitemap.", file=sys.stderr)
return
# Open both files for incremental writing
with open(CSV_FILE, "w", encoding="utf-8", newline="") as f_csv, \
open(JSONL_FILE, "w", encoding="utf-8") as f_jsonl:
writer = csv.writer(f_csv)
writer.writerow(["Seminar Title", "Seminar Description"])
for i, (url, cid) in enumerate(unique_courses, 1):
print(f"[{i}/{len(unique_courses)}] Scraping: {cid}", file=sys.stderr)
# 1. Get Title from HTML (still easiest)
html_text = fetch_url(url)
title = "Unknown"
if html_text:
title_match = re.search(r"<title>(.*?)</title>", html_text, re.S | re.I)
title = clean_title(title_match.group(1)) if title_match else "Unknown"
# 2. Get FULL Description from Firestore API
desc = get_full_description(cid)
if title or desc:
# Write to CSV
writer.writerow([title, desc])
f_csv.flush()
# Write to JSONL
json_row = json.dumps({"title": title, "description": desc}, ensure_ascii=False)
f_jsonl.write(json_row + "\n")
f_jsonl.flush()
# Polite delay
time.sleep(random.uniform(0.1, 0.3))
print(f"\nSuccess! Full dataset saved to:", file=sys.stderr)
print(f" - {CSV_FILE}", file=sys.stderr)
print(f" - {JSONL_FILE}", file=sys.stderr)
if __name__ == "__main__":
main()
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