It searches the web (via the public Google Custom Search JSON API) for a PDF that matches a given title and issue number, then returns the first result that looks like a direct PDF link.
Why use the Google Custom Search API?
- It respects Google’s Terms of Service (you need an API key and a custom‑search engine ID).
- It returns structured JSON, making it easy to parse for PDF URLs.
- It avoids scraping Google’s HTML results page, which is disallowed by Google’s robots.txt.
If the full PDF cost is prohibitive, iconectiv and some resellers offer: gr63core issue 5 pdf link
get_pdf_link(title, issue, api_key, cse_id)import requests
from urllib.parse import quote
from typing import Optional, List
# ----------------------------------------------------------------------
# Configuration – replace with your own credentials
API_KEY = "YOUR_GOOGLE_API_KEY"
CSE_ID = "YOUR_CUSTOM_SEARCH_ENGINE_ID"
# ----------------------------------------------------------------------
def _search_google(query: str, api_key: str, cse_id: str,
num_results: int = 10) -> List[dict]:
"""
Calls the Google Custom Search JSON API and returns the raw list of
result dictionaries.
Parameters
----------
query: str
The search string (already URL‑encoded if you wish).
api_key: str
Google API key.
cse_id: str
Custom Search Engine ID.
num_results: int (max 10)
Number of results to ask for (Google caps at 10 per request).
Returns
-------
list[dict]
Each dict corresponds to a single search result.
"""
endpoint = "https://www.googleapis.com/customsearch/v1"
params =
"key": api_key,
"cx": cse_id,
"q": query,
"num": num_results,
"fileType": "pdf", # hint to favour PDFs
"filter": "0", # return duplicate URLs (optional)
"safe": "off", # we assume the query is safe
resp = requests.get(endpoint, params=params, timeout=15)
resp.raise_for_status()
data = resp.json()
return data.get("items", [])
def _extract_pdf_url(item: dict) -> Optional[str]:
"""
Given a single result dictionary, try to extract a direct PDF URL.
Google sometimes returns a `link` that points to a landing page that
redirects to a PDF. We treat both as acceptable, but we prefer URLs
that end in `.pdf`.
"""
link = item.get("link")
if not link:
return None
# If the URL ends with .pdf, we are done.
if link.lower().endswith(".pdf"):
return link
# Otherwise, check the snippet – sometimes it mentions a PDF.
snippet = item.get("snippet", "").lower()
if ".pdf" in snippet:
return link
# As a last resort, check the `mime` type if Google supplied it.
mime = item.get("mime")
if mime == "application/pdf":
return link
return None
def get_pdf_link(title: str,
issue: str,
api_key: str = API_KEY,
cse_id: str = CSE_ID,
max_results: int = 10) -> Optional[str]:
"""
Search for a PDF that matches *title* and *issue* and return the first
plausible direct link.
Parameters
----------
title: str
The publication name (e.g. "GR63CORE").
issue: str
Issue identifier – can be a number, volume, or any free text.
api_key / cse_id:
Your Google Custom Search credentials.
max_results:
How many Google results to examine (max 10 per request).
Returns
-------
str | None
URL of a PDF if found; otherwise ``None``.
"""
# Build a focused query – quoting the title helps keep results tight.
query = f'"title" "issue issue" filetype:pdf'
# Encode for safety (requests does it automatically, but we keep it explicit)
query = quote(query)
try:
items = _search_google(query, api_key, cse_id, num_results=max_results)
except requests.HTTPError as exc:
raise RuntimeError(f"Google Search API request failed: exc") from exc
for item in items:
pdf_url = _extract_pdf_url(item)
if pdf_url:
return pdf_url
# Nothing obvious found
return None
# ----------------------------------------------------------------------
# Example usage (run only when this file is executed directly)
# ----------------------------------------------------------------------
if __name__ == "__main__":
# Replace with your own credentials before testing
if "YOUR_GOOGLE_API_KEY" in API_KEY or "YOUR_CUSTOM_SEARCH_ENGINE_ID" in CSE_ID:
raise RuntimeError(
"You must insert a valid Google API key and CSE ID before running."
)
title = "GR63CORE"
issue = "5"
link = get_pdf_link(title, issue)
if link:
print(f"✅ PDF found → link")
else:
print("❌ No PDF link could be located. Try refining the query "
"(e.g., add a year, publisher, or domain).")
A: No. They require purchase. Any public “gr63core issue 5 pdf link” claiming to be free is unofficial. It searches the web (via the public Google
If you need the gr63core issue 5 pdf link for professional use: Why use the Google Custom Search API