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    "info": {
        "author": "Cody Zacharias",
        "author_email": "codyzacharias@pm.me",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "# TWINT - Twitter Intelligence Tool\n![2](https://i.imgur.com/iaH3s7z.png)\n![3](https://i.imgur.com/hVeCrqL.png)\n\n[![PyPI](https://img.shields.io/pypi/v/twint.svg)](https://pypi.org/project/twint/) [![Build Status](https://travis-ci.org/twintproject/twint.svg?branch=master)](https://travis-ci.org/twintproject/twint) [![Python 3.6|3.7|3.8](https://img.shields.io/badge/Python-3.6%2F3.7%2F3.8-blue.svg)](https://www.python.org/download/releases/3.0/) [![GitHub license](https://img.shields.io/github/license/haccer/tweep.svg)](https://github.com/haccer/tweep/blob/master/LICENSE) [![Downloads](https://pepy.tech/badge/twint)](https://pepy.tech/project/twint) [![Downloads](https://pepy.tech/badge/twint/week)](https://pepy.tech/project/twint/week) [![Patreon](https://img.shields.io/endpoint.svg?url=https:%2F%2Fshieldsio-patreon.herokuapp.com%2Ftwintproject)](https://www.patreon.com/twintproject)\n\n>No authentication. No API. No limits.\n\nTwint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles **without** using Twitter's API.\n\nTwint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out *sensitive* information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.\n\nTwint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow **without** any authentication, API, Selenium, or browser emulation.\n\n## tl;dr Benefits\nSome of the benefits of using Twint vs Twitter API:\n- Can fetch almost __all__ Tweets (Twitter API limits to last 3200 Tweets only);\n- Fast initial setup;\n- Can be used anonymously and without Twitter sign up;\n- **No rate limitations**.\n\n## Limits imposed by Twitter\nTwitter limits scrolls while browsing the user timeline. This means that with `.Profile` or with `.Favorites` you will be able to get ~3200 tweets.\n\n## Requirements\n- Python 3.6;\n- aiohttp;\n- aiodns;\n- beautifulsoup4;\n- cchardet;\n- elasticsearch;\n- pysocks;\n- pandas (>=0.23.0);\n- aiohttp_socks;\n- schedule;\n- geopy;\n- fake-useragent;\n- py-googletransx.\n\n## Installing\n\n**Git:**\n```bash\ngit clone https://github.com/twintproject/twint.git\ncd twint\npip3 install . -r requirements.txt\n```\n\n**Pip:**\n```bash\npip3 install twint\n```\n\nor\n\n```bash\npip3 install --user --upgrade -e git+https://github.com/twintproject/twint.git@origin/master#egg=twint\n```\n\n**Pipenv**:\n```bash\npipenv install -e git+https://github.com/twintproject/twint.git#egg=twint\n```\n\n## CLI Basic Examples and Combos\nA few simple examples to help you understand the basics:\n\n- `twint -u username` - Scrape all the Tweets from *user*'s timeline.\n- `twint -u username -s pineapple` - Scrape all Tweets from the *user*'s timeline containing _pineapple_.\n- `twint -s pineapple` - Collect every Tweet containing *pineapple* from everyone's Tweets.\n- `twint -u username --year 2014` - Collect Tweets that were tweeted **before** 2014.\n- `twint -u username --since \"2015-12-20 20:30:15\"` - Collect Tweets that were tweeted since 2015-12-20 20:30:15.\n- `twint -u username --since 2015-12-20` - Collect Tweets that were tweeted since 2015-12-20 00:00:00.\n- `twint -u username -o file.txt` - Scrape Tweets and save to file.txt.\n- `twint -u username -o file.csv --csv` - Scrape Tweets and save as a csv file.\n- `twint -u username --email --phone` - Show Tweets that might have phone numbers or email addresses.\n- `twint -s \"Donald Trump\" --verified` - Display Tweets by verified users that Tweeted about Donald Trump.\n- `twint -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.\n- `twint -u username -es localhost:9200` - Output Tweets to Elasticsearch\n- `twint -u username -o file.json --json` - Scrape Tweets and save as a json file.\n- `twint -u username --database tweets.db` - Save Tweets to a SQLite database.\n- `twint -u username --followers` - Scrape a Twitter user's followers.\n- `twint -u username --following` - Scrape who a Twitter user follows.\n- `twint -u username --favorites` - Collect all the Tweets a user has favorited (gathers ~3200 tweet).\n- `twint -u username --following --user-full` - Collect full user information a person follows\n- `twint -u username --profile-full` - Use a slow, but effective method to gather Tweets from a user's profile (Gathers ~3200 Tweets, Including Retweets).\n- `twint -u username --retweets` - Use a quick method to gather the last 900 Tweets (that includes retweets) from a user's profile.\n- `twint -u username --resume resume_file.txt` - Resume a search starting from the last saved scroll-id.\n\nMore detail about the commands and options are located in the [wiki](https://github.com/twintproject/twint/wiki/Commands)\n\n## Module Example\n\nTwint can now be used as a module and supports custom formatting. **More details are located in the [wiki](https://github.com/twintproject/twint/wiki/Module)**\n\n```python\nimport twint\n\n# Configure\nc = twint.Config()\nc.Username = \"now\"\nc.Search = \"fruit\"\n\n# Run\ntwint.run.Search(c)\n```\n> Output\n\n`955511208597184512 2018-01-22 18:43:19 GMT <now> pineapples are the best fruit`\n\n```python\nimport twint\n\nc = twint.Config()\n\nc.Username = \"noneprivacy\"\nc.Custom[\"tweet\"] = [\"id\"]\nc.Custom[\"user\"] = [\"bio\"]\nc.Limit = 10\nc.Store_csv = True\nc.Output = \"none\"\n\ntwint.run.Search(c)\n```\n\n## Storing Options\n- Write to file;\n- CSV;\n- JSON;\n- SQLite;\n- Elasticsearch.\n\n## Elasticsearch Setup\n\nDetails on setting up Elasticsearch with Twint is located in the [wiki](https://github.com/twintproject/twint/wiki/Elasticsearch).\n\n## Graph Visualization\n![graph](https://i.imgur.com/EEJqB8n.png)\n\n[Graph](https://github.com/twintproject/twint/wiki/Graph) details are also located in the [wiki](https://github.com/twintproject/twint/wiki/Graph).\n\nWe are developing a Twint Desktop App.\n\n![4](https://i.imgur.com/DzcfIgL.png)\n\n## FAQ\n> I tried scraping tweets from a user, I know that they exist but I'm not getting them\n\nTwitter can shadow-ban accounts, which means that their tweets will not be available via search. To solve this, pass `--profile-full` if you are using Twint via CLI or, if are using Twint as module, add `config.Profile_full = True`. Please note that this process will be quite slow.\n## More Examples\n\n#### Followers/Following\n\n> To get only follower usernames/following usernames\n\n`twint -u username --followers`\n\n`twint -u username --following`\n\n> To get user info of followers/following users\n\n`twint -u username --followers --user-full`\n\n`twint -u username --following --user-full`\n\n#### userlist\n\n> To get only user info of user\n\n`twint -u username --user-full`\n\n> To get user info of users from a userlist\n\n`twint --userlist inputlist --user-full`\n\n\n#### tweet translation (experimental)\n\n> To get 100 english tweets and translate them to italian\n\n`twint -u noneprivacy --csv --output none.csv --lang en --translate --translate-dest it --limit 100`\n\nor\n\n```python\nimport twint\n\nc = twint.Config()\nc.Username = \"noneprivacy\"\nc.Limit = 100\nc.Store_csv = True\nc.Output = \"none.csv\"\nc.Lang = \"en\"\nc.Translate = True\nc.TranslateDest = \"it\"\ntwint.run.Search(c)\n```\n\nNotes:\n- [Google translate has some quotas](https://cloud.google.com/translate/quotas)\n\n## Featured Blog Posts:\n- [How to use Twint as an OSINT tool](https://pielco11.ovh/posts/twint-osint/)\n- [Basic tutorial made by Null Byte](https://null-byte.wonderhowto.com/how-to/mine-twitter-for-targeted-information-with-twint-0193853/)\n- [Analyzing Tweets with NLP in minutes with Spark, Optimus and Twint](https://towardsdatascience.com/analyzing-tweets-with-nlp-in-minutes-with-spark-optimus-and-twint-a0c96084995f)\n- [Loading tweets into Kafka and Neo4j](https://markhneedham.com/blog/2019/05/29/loading-tweets-twint-kafka-neo4j/)\n\n## Contact\n\nIf you have any question, want to join in discussions, or need extra help, you are welcome to join our Twint focused channel at [OSINT team](https://osint.team)",
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