ntscraper 0.1.5

Unofficial library to scrape Twitter profiles and posts from Nitter instances

Unofficial Nitter scraper

This is a simple library to scrape Nitter instances for tweets. It can:

• search and scrape tweets with a certain term

• search and scrape tweets with a certain hashtag

• scrape tweets from a user profile

• get profile information of a user, such as display name, username, number of tweets, profile picture ...

If the instance to use is not provided to the scraper, it will use a random instance among those listed in https://github.com/zedeus/nitter/wiki/Instances.

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Installation

pip install ntscraper

How to use

First, initialize the library:

from ntscraper import Nitter

scraper = Nitter(log_level=1)

The valid logging levels are:

• None = no logs
• 0 = only warning and error logs
• 1 = previous + informational logs (default)

Then, choose the proper function for what you want to do from the following.

Scrape tweets

github_hash_tweets = scraper.get_tweets("github", mode='hashtag')

bezos_tweets = scraper.get_tweets("JeffBezos", mode='user')

Parameters:

• term: search term
• mode: modality to scrape the tweets. Default is 'term' which will look for tweets containing the search term. Other modes are 'hashtag' to search for a hashtag and 'user' to scrape tweets from a user profile
• number: number of tweets to scrape. Default is 5. If 'since' is specified, this is bypassed.
• since: date to start scraping from, formatted as YYYY-MM-DD. Default is None
• until: date to stop scraping at, formatted as YYYY-MM-DD. Default is None
• max_retries: max retries to scrape a page. Default is 5
• instance: Nitter instance to use. Default is None and will be chosen at random

Returns a dictionary with tweets and threads for the term.

Get profile information

bezos_information = scraper.get_profile_info("JeffBezos")

Parameters:

• username: username of the page to scrape
• max_retries: max retries to scrape a page. Default is 5
• instance: Nitter instance to use. Default is None

Returns a dictionary of the profile's information.

Get random Nitter instance

random_instance = scraper.get_random_instance()

Returns a random Nitter instance.

Note

Unfortunately, at the moment searching for tweets either via 'term' or 'hashtag' doesn't work because Twitter removed the ability to search without being registered, and as consequence Nitter's search is broken. You can still scrape user profiles.

To do list

• Add scraping of individual posts with comments