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| 1 | +#!/usr/bin/env python3 |
| 2 | +import os |
| 3 | +import json |
| 4 | +import requests |
| 5 | +from bs4 import BeautifulSoup |
| 6 | + |
| 7 | +# === CONFIG === |
| 8 | +SCHOLAR_USER_ID = "8-IhrB0AAAAJ" # your Google Scholar user ID |
| 9 | +OUT_PATH = "assets/json/citations.json" |
| 10 | + |
| 11 | +def fetch_total_citations(): |
| 12 | + url = f"https://scholar.google.com/citations?user={SCHOLAR_USER_ID}&hl=en" |
| 13 | + headers = { |
| 14 | + "User-Agent": ( |
| 15 | + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " |
| 16 | + "AppleWebKit/537.36 (KHTML, like Gecko) " |
| 17 | + "Chrome/124.0 Safari/537.36" |
| 18 | + ) |
| 19 | + } |
| 20 | + r = requests.get(url, headers=headers, timeout=30) |
| 21 | + r.raise_for_status() |
| 22 | + |
| 23 | + soup = BeautifulSoup(r.text, "html.parser") |
| 24 | + |
| 25 | + # On Scholar, the total citations is in the first cell of this table |
| 26 | + table = soup.find("table", id="gsc_rsb_st") |
| 27 | + if not table: |
| 28 | + raise RuntimeError("Could not find citation stats table on Google Scholar page.") |
| 29 | + |
| 30 | + cells = table.find_all("td", class_="gsc_rsb_std") |
| 31 | + if not cells: |
| 32 | + raise RuntimeError("Could not find citation value cell on Google Scholar page.") |
| 33 | + |
| 34 | + total_citations = cells[0].get_text(strip=True) |
| 35 | + return total_citations |
| 36 | + |
| 37 | +def main(): |
| 38 | + citations = fetch_total_citations() |
| 39 | + print(f"Total citations: {citations}") |
| 40 | + |
| 41 | + data = { |
| 42 | + "schemaVersion": 1, |
| 43 | + "label": "citations", |
| 44 | + "message": citations, |
| 45 | + "color": "9cf" |
| 46 | + } |
| 47 | + |
| 48 | + os.makedirs(os.path.dirname(OUT_PATH), exist_ok=True) |
| 49 | + with open(OUT_PATH, "w", encoding="utf-8") as f: |
| 50 | + json.dump(data, f, ensure_ascii=False) |
| 51 | + |
| 52 | + print(f"Wrote {OUT_PATH}") |
| 53 | + |
| 54 | +if __name__ == "__main__": |
| 55 | + main() |
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