TwitterScraper | Bypass the 3,200 tweet API limit | Scraper library
kandi X-RAY | TwitterScraper Summary
kandi X-RAY | TwitterScraper Summary
Twitter's API limits you to querying a user's most recent 3200 tweets. This is a pain in the ass. However, we can circumvent this limit using Selenium and doing some webscraping. We can query a user's entire time on twitter, finding the IDs for each of their tweets. From there, we can use the tweepy API to query the complete metadata associated with each tweet. You can adjust which metadata are collected by changing the variable METADATA_LIST at the top of scrape.py. Personally, I was just collecting text to train a model, so I only cared about the full_text field in addition to whether the tweet was a retweet. I've included a list of all available tweet attributes at the top of scrape.py so that you can adjust things as you wish. NOTE: This scraper will notice if a user has less than 3200 tweets. In this case, it will do a "quickscrape" to grab all available tweets at once (significantly faster). It will store them in the exact same manner as a manual scrape.
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Top functions reviewed by kandi - BETA
- Scrape tweets from the user
- Find tweets from twitter
- Quicks up twitter timeline
- Collect metadata for new tweet
- Check if this user is scrapable
- Collect new tweets
- Return whether the user can scrape the Tweet
- Pretty print arguments
- Get the join date of the given animal
- Dump the tweets in JSON format
TwitterScraper Key Features
TwitterScraper Examples and Code Snippets
Community Discussions
Trending Discussions on TwitterScraper
QUESTION
I installed twitterscraper and then run this
...ANSWER
Answered 2021-Nov-24 at 19:23You might have the wrong version of twitterscraper. Do this
QUESTION
I'm trying to do a personal project for my portfolio, I would like to scrape the tweets about the president Macron but I get this error with twitterscrapper.
ANSWER
Answered 2020-Nov-19 at 09:07The code is fine, the problem is that you installed the wrong version of twitterscraper.
You may update your package by using pip install twitterscraper --upgrade
or
pip install twitterscraper==1.6.1 for ensuring it is the latest
QUESTION
I am working on my first webapp project which I plan to publish using a remote server. I have a question about the architecture.
My webapp is to scrape tweets using twitterscraper Python package. A user who visits the website enters some keywords and click "Scrape" button. A Python backend scrapes the tweets containing the keywords, goes through some Natural Language Processing analysis, and visualise the result in charts. This twitterscraper package lets you scrape tweets using Beautiful Soup, therefore you don't need to create an API credential. The scraping speed depends on the bandwidth of the internet that you are using.
I made a Python script, JavaScript file, html file and css file. In my local environment the webapp works perfectly.
So the question is, after I put these files on the hosting server and publish the webapp, when a user clicks "Scrape" button, on what does the scraping speed depend? The bandwidth of the internet that the user is using? Or is there any "bandwidth" that the server is relying on?
As I said I am very new to this kind of architecture. So it would also be nice to suggest me an alternative way for structuring this kind of webapp. Thank you!
...ANSWER
Answered 2020-May-17 at 21:27Where the bottle-neck is depends on a bunch of different variables.
If you're doing a lot of data manipulation, but you don't have a lot of CPU time allocated to the program (i.e. there are too many users for your processor to handle), it could slow down there.
If you don't have sufficient memory, and you're trying to parse and return a lot of data, it could slow down there.
Because you're also talking to Twitter, whatever the bandwidth restrictions are between your server and the twitter server will affect the speed at which you can retrieve results from their API, and so the time it takes your program to respond to a user.
There's also the connection between yourself and the user. If that's slow, it could affect your program.
QUESTION
I am using twitterscraper from https://github.com/taspinar/twitterscraper to scrap around 20k tweets created since 2018. Tweet locations are not readily extracted from the default setting. Nevertheless, the search for tweets written from a location can be done by using advanced queries placed within quotes, e.g. "#hashtagofinterest near:US"
Thus I am thinking to loop through a list of country codes (alpha-2) to filter the tweets from a country and add the info of the country to my search result. Initial attempts had been done on small samples for tweets in the past 10 days.
...ANSWER
Answered 2020-Apr-14 at 09:27Since dfs is a list of tuples, with each tuple being (DataFrame, str), you only want to concatenate the first of each element of dfs.
You may achieve this using:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TwitterScraper
You can use TwitterScraper like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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