twitter-api-client
TWINT
twitter-api-client | TWINT | |
---|---|---|
24 | 77 | |
1,380 | 13,272 | |
- | - | |
7.4 | 0.0 | |
26 days ago | almost 2 years ago | |
Python | Python | |
MIT License | MIT License |
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twitter-api-client
- Reverse Engineering Twitter Spaces - Capture 500 Audio Streams/Live Transcripts per IP
- Show HN: Twitter Spy Tools – Capture large volumes of audio and transcript data
- Twitter Spy Tools - Capture large volumes of audio and transcript data
- Reddit annonce le prix pour son accès à son API, 12000$ pour 50 millions de requêtes. (Source: r/apolloapp)
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There’s really only one way to solve the API problem:
Yeah, there's only upside to REing the web frontend API as opposed to scraping and parsing. twitter-api-client is a full RE of their GraphQL API.
- Show HN: No-Auth Twitter API Endpoints (GraphQL)
- Complete implementation of the undocumented Twitter API
- Show HN: Twitter API Reverse Engineered
TWINT
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Twitter will be purging accounts with no activity for several years soon. We need to archive as many as we can. Any ideas on Methods
twint is a project that can scrape twitter data via the webpages rather than the twitter API, which means that it can get more than the last 3200 tweets of an account. Unfortunately it seems that the repo was archived and is no longer in development, so I'm not sure if it even still works. It's also a bit heavy on dependencies and is written in Python, neither of which make it easier to install and use.
- How Do I Use Twint?
- NYC's transport authority will no longer post service alerts on Twitter
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New OSINT tool
The tool doesn't work anymore since Twitter changed its APIs, but a good example is twint. Most people in OSINT are not highly technical and don't know their way around a CLI. On the other hand, a CLI tool is one of the quickest, lowest (dev) cost ways to release a tool to the public, and many developers who build tools for the OSINT community do so for free (open source).
- Show HN: Twitter API Reverse Engineered
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What’s currently the best method to archive a twitter account?
You can try twint which is extensive and should be able to do that. Another is via this twitter downloader but might require multiple runs depending on what you want to archive.
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Gbf.life will be gone at the end of April
They do have examples that don't specify a username such as number 3 on this page or this one on the main page: "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."
- Do I have to pay now for the Twitter API if I want to use it for data analysis?
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Twitter’s $42,000-per-Month API Prices Out Nearly Everyone | Tiers will start at $500,000 a year for access to 0.3 percent of the company’s tweets. Researchers say that’s too much for too little data
This will motivate researchers to web scrape to circumvent these restrictions. Twint can scrape tweets and it supports proxies. It can also be multi threaded. A huge hassle and it's prone to breaking when the site changes.
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Basically the current state of granblue
The comment I saw said they used this: https://github.com/twintproject/twint
What are some alternatives?
Autofish-Fishing-Planet - A fishing bot for automatically catching fish in Fishing Planet
snscrape - A social networking service scraper in Python
TweetScraper - TweetScraper is a simple crawler/spider for Twitter Search without using API
Scweet - A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers, user info, images...
wizwalker - Wizard101 scripting api
newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
revanced-patches - 🧩 Patches for ReVanced
twitterscraper - Scrape Twitter for Tweets
Clickery - A Software designed to help implement AutoGUI without much coding.
gallery-dl - Command-line program to download image galleries and collections from several image hosting sites
Tweepy - Twitter for Python!
trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments