Commit ba8cbd94 authored by haccer's avatar haccer Committed by GitHub

Update README.md

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# tweep
[![Python 2.6|2.7](https://img.shields.io/badge/python-2.6|2.7-yellow.svg)](https://www.python.org/)
Tweep is an advanced Twitter scraping tool written in python that allows for scraping Tweets and pictures from Twitter profiles **without** using Twitter's API.
Tweep is an advanced Twitter scraping tool written in python that allows for scraping Tweets and pictures from Twitter profiles **without** using Twitter's API, bypassing any rate limitations.
## Requirements
- BeautifulSoup4 `pip install beautifulsoup4`
......@@ -10,27 +11,55 @@ Tweep is an advanced Twitter scraping tool written in python that allows for scr
- `-s` Search for Tweets containing this word or phrase.
- `--year` Filter tweets before the specified year.
- `--pics` Download all the pictures from Tweets.
- `--fruit` Display Tweets with "low-hanging-fruit"
- `--fruit` Display Tweets with "low-hanging-fruit".
- `--tweets` Display Tweets only.
- `--verified` Display Tweets only from verified users (Use with `-s`).
- `--users` Display users only (Use with `-s`).
## Examples and Combos.
These are just a few examples to help you understand how everything works. You can mix and match each feature to your liking.
## Basic Examples and Combos.
These are just a few simple examples to help you understand the basics of how to use Tweep:
# tweep
[![Python 2.6|2.7](https://img.shields.io/badge/python-2.6|2.7-yellow.svg)](https://www.python.org/)
python tweep.py -u username
This will scrape all the Tweets from that user's timeline.
Tweep is an advanced Twitter scraping tool written in python that allows for scraping Tweets and pictures from Twitter profiles **without** using Twitter's API.
python tweep.py -u username -s pineapple
This will scrape all Tweets that contain the word pineapple from the user's timeline.
## Benefits
Some of the benefits of using Tweep vs Twitter API:
- Fast initial setup
- Can be used anonymously
- No rate limitations
- Can fetch __all__ Tweets (Twitter API limits to last 3200 Tweets)
python tweep.py -s pineapple
This will collect every Tweet that contains the word pineapple from everyone's Tweets.
## Requirements
- BeautifulSoup4 `pip install beautifulsoup4`
## Usage
- `-u` The user's Tweets you want to scrape.
- `-s` Search for Tweets containing this word or phrase.
- `--year` Filter tweets before the specified year.
- `--pics` Download all the pictures from Tweets.
- `--fruit` Display Tweets with "low-hanging-fruit".
- `--tweets` Display Tweets only.
- `--verified` Display Tweets only from verified users (Use with `-s`).
- `--users` Display users only (Use with `-s`).
python tweep.py -u username --year 2014
This will collect Tweets that were tweeted **before** 2014.
## Low-Hanging Fruit
The `--fruit` feature will display Tweets that *might* contain sensitive info such as:
- Profiles from leaked databases (Myspace or LastFM)
- Email addresses
- Phone numbers
python tweep.py -u username --pics
This collects all the Tweets that have pictures in the user's timeline and downloads them.
## Basic Examples and Combos.
A few simple examples to help you understand the basics:
python tweep.py -u username --fruit
This searches for Tweets that *might* contain MySpace/LastFM profiles, emails, and/or phone numbers.
- `python tweep.py -u username` - Scrape all the Tweets from *user*'s timeline.
- `python tweep.py -u username -s pineapple` - Scrape all Tweets from the *user*'s timeline containing _pineapple_.
- `python tweep.py -s pineapple` - Collect every Tweet containing *pineapple* from everyone's Tweets.
- `python tweep.py -u username --year 2014` - Collect Tweets that were tweeted **before** 2014.
- `python tweep.py -u username --pics` - Download all pictures from *user*'s timeline.
- `python tweep.py -u username --fruit` - Show Tweets with low-hanging fruit.
- `python tweep.py -s "Donald Trump" --verified --users` - List verified users that Tweet about Donald Trump.
## Example String
`881653591265746945 2017-07-02 23:19:31 UTC <dqt> i need to drink more water`
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