add script to scrape from wikinews

scrape.py

@@ -0,0 +1,42 @@
+# pip install openai lxml cssselector requests xmltodict
+
+from datetime import datetime
+import json
+import lxml.html
+from lxml.cssselect import CSSSelector
+
+import requests
+import xmltodict
+
+# load from WikiNews English
+r = requests.get("https://en.wikinews.org/w/index.php?title=Special:NewsFeed&feed=atom&categories=Published&count=5")
+data = xmltodict.parse(r.content)
+
+outputs = []
+entries = data["feed"]["entry"]
+for en in entries:
+  # en["summary"]["#text"]
+  # en["title"]
+  dtme = datetime.strptime(en["updated"], "%Y-%m-%dT%H:%M:%SZ")
+  dt = dtme.strftime("%Y/%m/%d")
+
+  summ = lxml.html.fromstring(en["summary"]["#text"])
+
+  selAnchor = CSSSelector('a[rel="nofollow"]')
+  foundElements = selAnchor(summ)
+  for el in foundElements:
+    print(el.get("href"))
+
+  plaintxt = summ.text_content()
+  if 'Have an opinion on this story?' in plaintxt:
+    plaintxt = plaintxt[:plaintxt.find('Have an opinion on this story?')]
+  # print(plaintxt)
+
+  outputs.append({ "question_date": dt, "question_url": en["link"]["@href"], })
+
+tstamp = datetime.now().strftime("%Y%m%d")
+with open(f"./{tstamp}_qa_public.jsonl", "w") as fi:
+  for idx, op in enumerate(outputs):
+    op["question_id"] = f"{tstamp}_{idx}"
+    op["question_source"] = "WikiNews"
+    fi.write(json.dumps(op) + "\n")