twitterscraper | Scrape Twitter for Tweets

by taspinar Python Version: 1.6.1 License: MIT

X-Ray Key Features Code Snippets(7)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | twitterscraper Summary

twitterscraper is a Python library. twitterscraper has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install twitterscraper' or download it from GitHub, PyPI.

Scrape Twitter for Tweets

Support

Quality

Security

License

Reuse

Support

twitterscraper has a medium active ecosystem.

It has 2291 star(s) with 576 fork(s). There are 89 watchers for this library.

It had no major release in the last 12 months.

There are 129 open issues and 155 have been closed. On average issues are closed in 141 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of twitterscraper is 1.6.1

Quality

twitterscraper has 0 bugs and 0 code smells.

Security

twitterscraper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

twitterscraper code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

twitterscraper is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

twitterscraper releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

twitterscraper saves you 283 person hours of effort in developing the same functionality from scratch.

It has 685 lines of code, 24 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed twitterscraper and discovered the below as its top functions. This is intended to give you an instant insight into twitterscraper implemented functionality, and help decide if they suit your requirements.

Get all tweets from a user
Get tweets from a single page
Generate URL for query
Get twitter user information
Query the user page
Get user info from given username
Query tweets from the API
Generate a series of linspace
Generate a Profile object from HTML
Parse the contents of the Profile
Query twitter tweets
Queries twitter API
Query user information
Returns a list of all ip addresses

Get all kandi verified functions for this library.

twitterscraper Key Features

No Key Features are available at this moment for twitterscraper.

twitterscraper Examples and Code Snippets

TwitterScraper,Example:

Python

Lines of Code : 50

License : Permissive (MIT)

Copy

$ ./scrape.py --help
usage: python3 scrape.py [options]

scrape.py - Twitter Scraping Tool

optional arguments:
  -h, --help            show this help message and exit
  -u USERNAME, --username USERNAME
                        Scrape this user\'s Twe

Import of twitterscraper returns 'NonType' error

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install twitterscraper==0.2.7

!pip install twitterscraper==0.2.7

How to remove picture URL from twitter tweet using Python

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df['text'] = df['text'].str.replace(r'pic.twitter.com(.*?)\s(.*)', '')

Twitterscaper: Adding tweet country info to scrapped dataframe

Python

Lines of Code : 11

License : Strong Copyleft (CC BY-SA 4.0)

Copy

concat_df = pd.concat([df for df, _ in dfs], ignore_index=True)

dfs = []
for query, country in queries[:10]: #trying on first 10 countries
   temp = query_tweets(query, begindate = begin_date, enddate = end_date, l

How do I filter data from an xlsx file based on key words in a sentence using python?

Python

Lines of Code : 30

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from twitterscraper import query_tweets 
import datetime as dt 
import pandas as pd

begin_date = dt.date(2019, 7, 1) 
end_date = dt.date(2019, 9, 9)

limit = 1000 
lang = 'english'

tweets = query_tweets(
    'Hurricane Dorian', 
    begi

Loop through multiple json input files

Python

Lines of Code : 15

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import codecs
import json
import csv
import re
import os

files = []
for file in os.listdir("/mydir"):
    if file.endswith(".json"):
        files.append(os.path.join("/mydir", file))

for file in files:
    with codecs.open(file,'r','utf

stuck with convert json to csv: finding the right attributes and converting

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

outtweets = [[tweet.fullname_str, tweet.id, tweet.likes, tweet.replies, tweet.retweets, tweet.text.encode('utf-8'),tweet.timestamp,tweet.url,tweet.user] for tweet in all_tweets]

outtweets = [[tweet.fullname, tweet.

Community Discussions

Trending Discussions on twitterscraper

Import of twitterscraper returns 'NonType' error

How could I solve this error to scrape Twitter with Python?

The speed of scraping tweet on a remote server depends on what?

Twitterscaper: Adding tweet country info to scrapped dataframe

QUESTION

Import of twitterscraper returns 'NonType' error

Asked 2021-Nov-25 at 06:16

I installed twitterscraper and then run this

...

ANSWER

Answered 2021-Nov-24 at 19:23

You might have the wrong version of twitterscraper. Do this

Source https://stackoverflow.com/questions/70100500

QUESTION

How could I solve this error to scrape Twitter with Python?

Asked 2020-Nov-19 at 09:07

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 09:07

The 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

pip install twitterscraper==1.6.1 for ensuring it is the latest

Source https://stackoverflow.com/questions/64908317

QUESTION

The speed of scraping tweet on a remote server depends on what?

Asked 2020-May-17 at 21:27

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 21:27

Where 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.

Source https://stackoverflow.com/questions/61858838

QUESTION

Twitterscaper: Adding tweet country info to scrapped dataframe

Asked 2020-Apr-14 at 09:27

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 09:27

Since 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:

Source https://stackoverflow.com/questions/61201913

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install twitterscraper

You can install using 'pip install twitterscraper' or download it from GitHub, PyPI.
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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: