INit

DOIScraper.py

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+import re
+import io
+import os
+import sys
+import csv
+import signal
+import requests
+import tkinter as tk
+from tkinter import filedialog
+from bs4 import BeautifulSoup
+from urllib.parse import urljoin
+
+from pdfminer.high_level import extract_text_to_fp
+from pdfminer.layout import LAParams
+from openpyxl import load_workbook, Workbook
+
+HEADERS = {
+    "User-Agent": "Mozilla/5.0 (compatible; DOI-Email-Finder/1.0)"
+}
+
+EMAIL_REGEX = re.compile(
+    r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}"
+)
+
+PUBLISHER_EMAIL_DOMAINS = {
+    "elsevier.com", "springer.com", "springernature.com", "nature.com",
+    "wiley.com", "tandfonline.com", "oxfordjournals.org", "oup.com",
+    "cambridge.org", "cambridgejournals.org", "ieee.org", "acm.org",
+    "sciencedirect.com", "mdpi.com", "frontiersin.org", "hindawi.com", "plos.org",
+}
+
+LOCALPART_BLACKLIST = {
+    "editor", "editors", "support", "info", "contact",
+    "office", "help", "admin", "journal"
+}
+
+
+def normalize_doi(raw):
+    if not raw:
+        return ""
+    raw = raw.strip()
+    return re.sub(r"^https?://(dx\.)?doi\.org/", "", raw, flags=re.I)
+
+
+def filter_publisher_emails(emails_with_source):
+    filtered = set()
+    for email, source in emails_with_source:
+        try:
+            local, domain = email.lower().split("@", 1)
+        except ValueError:
+            continue
+        if local in LOCALPART_BLACKLIST:
+            continue
+        if any(domain.endswith(p) for p in PUBLISHER_EMAIL_DOMAINS):
+            continue
+        filtered.add((email, source))
+    return filtered
+
+
+
+def get_crossref_emails(doi):
+    try:
+        r = requests.get(
+            f"https://api.crossref.org/works/{doi}",
+            headers=HEADERS,
+            timeout=10
+        )
+        r.raise_for_status()
+    except Exception:
+        return set()
+    emails = set()
+    for author in r.json().get("message", {}).get("author", []):
+        if "email" in author:
+            emails.add((author["email"], "crossref"))
+    return emails
+
+
+def extract_emails_from_html(url):
+    try:
+        r = requests.get(url, headers=HEADERS, timeout=10)
+        r.raise_for_status()
+    except Exception:
+        return set()
+    return {(e, "website") for e in EMAIL_REGEX.findall(r.text)}
+
+
+def get_scihub_pdf(doi, mirror_url=None):
+    if not mirror_url:
+        return None
+    try:
+        url = mirror_url + doi
+        r = requests.get(url, headers=HEADERS, timeout=10)
+        r.raise_for_status()
+        soup = BeautifulSoup(r.text, "html.parser")
+
+        obj_tag = soup.find("object", type="application/pdf")
+        if obj_tag and obj_tag.get("data"):
+            return urljoin(mirror_url, obj_tag["data"])
+
+        dl_tag = soup.select_one("div.download a[href]")
+        if dl_tag:
+            return urljoin(mirror_url, dl_tag["href"])
+    except Exception:
+        return None
+    return None
+
+
+def find_pdf_url(soup, base_url):
+    if not soup:
+        return None
+    for a in soup.find_all("a", href=True):
+        if ".pdf" in a["href"].lower():
+            return urljoin(base_url, a["href"])
+    return None
+
+
+def extract_emails_from_pdf(pdf_url, source):
+    try:
+        r = requests.get(pdf_url, headers=HEADERS, timeout=15)
+        r.raise_for_status()
+    except Exception:
+        return set()
+
+    emails = set()
+    output_string = io.StringIO()
+    try:
+        extract_text_to_fp(io.BytesIO(r.content), output_string, laparams=LAParams(), output_type='text')
+        text = output_string.getvalue()
+        for e in EMAIL_REGEX.findall(text):
+            emails.add((e, source))
+    except Exception:
+        pass
+    return emails
+
+
+
+def find_author_emails(doi, scihub_mirror=None):
+    emails = set()
+    emails |= get_crossref_emails(doi)
+
+    # DOI landing page
+    try:
+        r = requests.get(f"https://doi.org/{doi}", headers=HEADERS, allow_redirects=True, timeout=10)
+        r.raise_for_status()
+        soup = BeautifulSoup(r.text, "html.parser")
+        emails |= extract_emails_from_html(r.url)
+    except Exception:
+        soup = None
+
+    # Sci-Hub first
+    scihub_pdf = get_scihub_pdf(doi, scihub_mirror)
+    if scihub_pdf:
+        emails |= extract_emails_from_pdf(scihub_pdf, "pdf (Sci-Hub)")
+    else:
+        pdf_url = find_pdf_url(soup, r.url) if soup else None
+        if pdf_url:
+            emails |= extract_emails_from_pdf(pdf_url, "pdf (landing page)")
+
+    return filter_publisher_emails(emails)
+
+
+def read_input_file(path):
+    if path.lower().endswith(".csv"):
+        with open(path, newline="", encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            return list(reader), "csv"
+
+    if path.lower().endswith(".xlsx"):
+        wb = load_workbook(path)
+        ws = wb.active
+        headers = [c.value for c in ws[1]]
+        rows = []
+        for row in ws.iter_rows(min_row=2, values_only=True):
+            rows.append(dict(zip(headers, row)))
+        return rows, "xlsx"
+
+    raise ValueError("Unsupported file type")
+
+
+def get_safe_output_path(input_path, filetype):
+    base = input_path.rsplit(".", 1)[0] + "_with_emails"
+    output_path = f"{base}.{filetype}"
+    counter = 1
+    while os.path.exists(output_path):
+        output_path = f"{base}_{counter}.{filetype}"
+        counter += 1
+    return output_path
+
+
+def write_output_file(rows, input_path, filetype):
+    output_path = get_safe_output_path(input_path, filetype)
+    try:
+        if filetype == "csv":
+            with open(output_path, "w", newline="", encoding="utf-8") as f:
+                writer = csv.DictWriter(f, fieldnames=rows[0].keys())
+                writer.writeheader()
+                writer.writerows(rows)
+        else:
+            wb = Workbook()
+            ws = wb.active
+            ws.append(list(rows[0].keys()))
+            for row in rows:
+                ws.append(list(row.values()))
+            wb.save(output_path)
+        print(f"\nDone.\nOutput written to: {output_path}")
+    except PermissionError:
+        counter = 1
+        while True:
+            try:
+                alt_path = output_path.rsplit(".", 1)[0] + f"_{counter}.{filetype}"
+                if filetype == "csv":
+                    with open(alt_path, "w", newline="", encoding="utf-8") as f:
+                        writer = csv.DictWriter(f, fieldnames=rows[0].keys())
+                        writer.writeheader()
+                        writer.writerows(rows)
+                else:
+                    wb.save(alt_path)
+                print(f"\nDone.\nOutput written to: {alt_path}")
+                break
+            except PermissionError:
+                counter += 1
+
+
+
+def setup_ctrlc_handler(rows, input_path, filetype):
+    def handler(signum, frame):
+        print("\n[INFO] Ctrl+C detected. Saving progress...")
+        write_output_file(rows, input_path, filetype)
+        print("[INFO] Partial results saved. Exiting.")
+        sys.exit(0)
+    signal.signal(signal.SIGINT, handler)
+
+
+
+def get_scihub_mirror_from_user():
+    mirror = input("Enter Sci-Hub mirror URL (e.g., sci-hub.st or https://sci-hub.st/) or leave blank to skip: ").strip()
+    if not mirror:
+        return None
+    if not mirror.startswith("http"):
+        mirror = "https://" + mirror
+    if not mirror.endswith("/"):
+        mirror += "/"
+    return mirror
+
+
+
+if __name__ == "__main__":
+    root = tk.Tk()
+    root.withdraw()
+
+    file_path = filedialog.askopenfilename(
+        title="Select CSV or XLSX file",
+        filetypes=[("CSV / Excel", "*.csv *.xlsx")]
+    )
+
+    if not file_path:
+        print("No file selected.")
+        raise SystemExit
+
+    scihub_mirror = get_scihub_mirror_from_user()
+    rows, filetype = read_input_file(file_path)
+    print(f"Processing {len(rows)} DOI(s)...\n")
+
+    setup_ctrlc_handler(rows, file_path, filetype)
+
+    for i, row in enumerate(rows, start=1):
+        doi = normalize_doi(row.get("DOI", ""))
+        if doi:
+            print(f"[{i}/{len(rows)}] Processing DOI: {doi}")
+            emails = sorted({e for e, _ in find_author_emails(doi, scihub_mirror)})
+            print(f"    Found {len(emails)} email(s): {', '.join(emails) if emails else 'None'}")
+            row["author_emails"] = "; ".join(emails)
+        else:
+            print(f"[{i}/{len(rows)}] DOI missing or empty")
+            row["author_emails"] = ""
+
+    write_output_file(rows, file_path, filetype)

readme.md

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+This Script requires a CSV or XLSX with a column named DOI. It will create save a new file in the same format with a new column containing the mails.
+
+
+
+Open a commandline and run:
+
+
+
+pip install -r requirements.txt
+
+
+
+python DOIScraper.py
+
+
+
+
+
+
+
+
+

requirements.txt

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+requests
+beautifulsoup4
+pdfminer.six
+openpyxl