Merge pull request #41 from pielco11/master

Added elasticsearch fun stuff

README.md

@@ -21,6 +21,7 @@ Some of the benefits of using Tweep vs Twitter API:
 - `-s` Search for Tweets containing this word or phrase.
 - `-g` Retrieve tweets by geolocation. Format of the argument is lat,lon,range(km or mi).
 - `-o` Save output to a file.
+- `-es` Output to Elasticsearch
 - `--year` Filter Tweets before the specified year. 
 - `--fruit` Display Tweets with "low-hanging-fruit".
 - `--tweets` Display Tweets only.
@@ -53,6 +54,7 @@ A few simple examples to help you understand the basics:
 - `python3 tweep.py -u username --fruit` - Show Tweets with low-hanging fruit.
 - `python3 tweep.py -s "Donald Trump" --verified --users` - List verified users that Tweet about Donald Trump.
 - `python3 tweep.py -g="48.880048,2.385939,1km" -o file.csv --csv` - Scrape Tweets from a radius of 1km around a place in Paris and export them to a csv file.
+- `python3 tweep.py -u username -es localhost:9200` - Output Tweets to Elasticsearch
 
 ## Example String
 `955511208597184512 2018-01-22 18:43:19 GMT <now> pineapples are the best fruit`
@@ -61,7 +63,7 @@ A few simple examples to help you understand the basics:
 <img src="https://i.imgur.com/RKdBrHr.png" />
 
 ## Thanks
-Thanks to [@hpiedcoq](https://github.com/hpiedcoq) for contributing several features!
+Thanks to [@hpiedcoq](https://github.com/hpiedcoq) & [@pielco11](https://github.com/pielco11) for contributing several features!
 
 ## Contact
 Shout me out on Twitter: [@now](https://twitter.com/now)

index.json

+PUT tweep
+{
+  "mappings" : {
+    "items": {
+      "properties": { 
+        "tweetid": {"type": "long"},
+        "datestamp": {"type": "date", "format": "yyyy-MM-dd HH:mm:ss"},
+        "timezone": {"type": "text"},
+        "hashtags": {"type": "text"},
+        "replies": {"type": "integer"},
+        "retweets": {"type": "integer"},
+        "likes": {"type": "integer"},
+        "username": {"type": "keyword"}
+      }
+    }
+  }
+  ,
+  "settings": {
+    "number_of_shards": 1
+  }
+}

requirements.txt

@@ -2,3 +2,4 @@ aiohttp
 aiodns
 beautifulsoup4
 cchardet
+elasticsearch

tweep.py

 #!/usr/bin/python3
 from bs4 import BeautifulSoup
+from elasticsearch import Elasticsearch
 from time import gmtime, strftime
 import argparse
 import aiohttp
@@ -7,6 +8,7 @@ import asyncio
 import async_timeout
 import csv
 import datetime
+import hashlib
 import json
 import re
 import sys
@@ -156,7 +158,23 @@ async def outTweet(tweet):
     generated list into Tweep. That's why these
     modes exist.
     '''
-    if arg.users:
+    if arg.elasticsearch:
+        jObject = {
+            "tweetid": tweetid,
+            "datestamp": date + " " + time,
+            "timezone": timezone,
+            "text": text,
+            "hashtags": re.findall(r'(?i)\#\w+', text, flags=re.UNICODE),
+            "replies": replies,
+            "retweets": retweets,
+            "likes": likes,
+            "username": username
+        }
+        
+        es = Elasticsearch(arg.elasticsearch)
+        es.index(index="tweep", doc_type="items", id=tweetid, body=json.dumps(jObject))
+        output = ""
+    elif arg.users:
         output = username
     elif arg.tweets:
         output = tweets
@@ -207,6 +225,9 @@ async def getTweets(init):
         copyright = tweet.find("div","StreamItemContent--withheld")
         if copyright is None:
             count +=1
+            if arg.elasticsearch:
+                print(await outTweet(tweet),end=".", flush=True)
+            else:
                 print(await outTweet(tweet))
 
     return tweets, init, count
@@ -225,6 +246,10 @@ async def main():
     '''
     Putting it all together.
     '''
+
+    if arg.elasticsearch:
+        print("Indexing to Elasticsearch @" + str(arg.elasticsearch))
+
     if arg.userid is not None:
         arg.u = await getUsername()
 
@@ -271,8 +296,9 @@ if __name__ == "__main__":
     ap = argparse.ArgumentParser(prog="tweep.py", usage="python3 %(prog)s [options]", description="tweep.py - An Advanced Twitter Scraping Tool")
     ap.add_argument("-u", help="User's Tweets you want to scrape.")
     ap.add_argument("-s", help="Search for Tweets containing this word or phrase.")
-    ap.add_argument("-o", help="Save output to a file.")
     ap.add_argument("-g", help="Search for geocoded tweets.")
+    ap.add_argument("-o", help="Save output to a file.")
+    ap.add_argument("-es", "--elasticsearch", help="Index to Elasticsearch")
     ap.add_argument("--year", help="Filter Tweets before specified year.")
     ap.add_argument("--since", help="Filter Tweets sent since date (Example: 2017-12-27).")
     ap.add_argument("--fruit", help="Display 'low-hanging-fruit' Tweets.", action="store_true")