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|
%global _empty_manifest_terminate_build 0
Name: python-twitter-scraper
Version: 0.4.4
Release: 1
Summary: Scrape the Twitter Frontend API without authentication.
License: MIT
URL: https://github.com/bisguzar/twitter-scraper
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/fb/53/cbe5ecbbe361c23db0f4000a5f9073dc13d0a719b9eb51798f2334c245af/twitter-scraper-0.4.4.tar.gz
BuildArch: noarch
Requires: python3-requests-html
Requires: python3-MechanicalSoup
%description
# Twitter Scraper
   
[🇰🇷 Read Korean Version](https://github.com/bisguzar/twitter-scraper/blob/master/twitter_scraper/__init__.py)
Twitter's API is annoying to work with, and has lots of limitations — luckily their frontend (JavaScript) has it's own API, which I reverse–engineered. No API rate limits. No restrictions. Extremely fast.
You can use this library to get the text of any user's Tweets trivially.
## Prerequisites
Before you begin, ensure you have met the following requirements:
* Internet Connection
* Python 3.6+
## Installing twitter-scraper
If you want to use latest version, install from source. To install twitter-scraper from source, follow these steps:
Linux and macOS:
```bash
git clone https://github.com/bisguzar/twitter-scraper.git
cd twitter-scraper
sudo python3 setup.py install
```
Also, you can install with PyPI.
```bash
pip3 install twitter_scraper
```
## Using twitter_scraper
Just import **twitter_scraper** and call functions!
### → function **get_tweets(query: str [, pages: int])** -> dictionary
You can get tweets of profile or parse tweets from hashtag, **get_tweets** takes username or hashtag on first parameter as string and how much pages you want to scan on second parameter as integer.
#### Keep in mind:
* First parameter need to start with #, number sign, if you want to get tweets from hashtag.
* **pages** parameter is optional.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_tweets
>>>
>>> for tweet in get_tweets('twitter', pages=1):
... print(tweet['text'])
...
spooky vibe check
…
```
It returns a dictionary for each tweet. Keys of the dictionary;
| Key | Type | Description |
|-----------|------------|------------------------------------------------------------------|
| tweetId | string | Tweet's identifier, visit twitter.com/USERNAME/ID to view tweet. |
| userId | string | Tweet's userId |
| username | string | Tweet's username |
| tweetUrl | string | Tweet's URL |
| isRetweet | boolean | True if it is a retweet, False otherwise |
| isPinned | boolean | True if it is a pinned tweet, False otherwise |
| time | datetime | Published date of tweet |
| text | string | Content of tweet |
| replies | integer | Replies count of tweet |
| retweets | integer | Retweet count of tweet |
| likes | integer | Like count of tweet |
| entries | dictionary | Has hashtags, videos, photos, urls keys. Each one's value is list|
### → function **get_trends()** -> list
You can get the Trends of your area simply by calling `get_trends()`. It will return a list of strings.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_trends
>>> get_trends()
['#WHUTOT', '#ARSSOU', 'West Ham', '#AtalantaJuve', '#バビロニア', '#おっさんずラブinthasky', 'Southampton', 'Valverde', '#MMKGabAndMax', '#23NParoNacional']
```
### → class **Profile(username: str)** -> class instance
You can get personal information of a profile, like birthday and biography if exists and public. This class takes username parameter. And returns itself. Access informations with class variables.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile('bugraisguzar')
>>> profile.location
'Istanbul'
>>> profile.name
'Buğra İşgüzar'
>>> profile.username
'bugraisguzar'
```
#### → **.to_dict()** -> dict
**to_dict** is a method of *Profile* class. Returns profile datas as Python dictionary.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile("bugraisguzar")
>>> profile.to_dict()
{'name': 'Buğra İşgüzar', 'username': 'bugraisguzar', 'birthday': None, 'biography': 'geliştirici@peptr', 'website': 'bisguzar.com', 'profile_photo': 'https://pbs.twimg.com/profile_images/1199305322474745861/nByxOcDZ_400x400.jpg', 'banner_photo': 'https://pbs.twimg.com/profile_banners/1019138658/1555346657/1500x500', 'likes_count': 2512, 'tweets_count': 756, 'followers_count': 483, 'following_count': 255, 'is_verified': False, 'is_private': False, user_id: "1019138658"}
```
## Contributing to twitter-scraper
To contribute to twitter-scraper, follow these steps:
1. Fork this repository.
2. Create a branch with clear name: `git checkout -b <branch_name>`.
3. Make your changes and commit them: `git commit -m '<commit_message>'`
4. Push to the original branch: `git push origin <project_name>/<location>`
5. Create the pull request.
Alternatively see the GitHub documentation on [creating a pull request](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request).
## Contributors
Thanks to the following people who have contributed to this project:
* @kennethreitz (author)
* @bisguzar (maintainer)
* @lionking6792
* @ozanbayram
## Contact
If you want to contact me you can reach me at [@bugraisguzar](https://twitter.com/bugraisguzar).
## License
This project uses the following license: [MIT](https://github.com/bisguzar/twitter-scraper/blob/master/LICENSE).
%package -n python3-twitter-scraper
Summary: Scrape the Twitter Frontend API without authentication.
Provides: python-twitter-scraper
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-twitter-scraper
# Twitter Scraper
   
[🇰🇷 Read Korean Version](https://github.com/bisguzar/twitter-scraper/blob/master/twitter_scraper/__init__.py)
Twitter's API is annoying to work with, and has lots of limitations — luckily their frontend (JavaScript) has it's own API, which I reverse–engineered. No API rate limits. No restrictions. Extremely fast.
You can use this library to get the text of any user's Tweets trivially.
## Prerequisites
Before you begin, ensure you have met the following requirements:
* Internet Connection
* Python 3.6+
## Installing twitter-scraper
If you want to use latest version, install from source. To install twitter-scraper from source, follow these steps:
Linux and macOS:
```bash
git clone https://github.com/bisguzar/twitter-scraper.git
cd twitter-scraper
sudo python3 setup.py install
```
Also, you can install with PyPI.
```bash
pip3 install twitter_scraper
```
## Using twitter_scraper
Just import **twitter_scraper** and call functions!
### → function **get_tweets(query: str [, pages: int])** -> dictionary
You can get tweets of profile or parse tweets from hashtag, **get_tweets** takes username or hashtag on first parameter as string and how much pages you want to scan on second parameter as integer.
#### Keep in mind:
* First parameter need to start with #, number sign, if you want to get tweets from hashtag.
* **pages** parameter is optional.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_tweets
>>>
>>> for tweet in get_tweets('twitter', pages=1):
... print(tweet['text'])
...
spooky vibe check
…
```
It returns a dictionary for each tweet. Keys of the dictionary;
| Key | Type | Description |
|-----------|------------|------------------------------------------------------------------|
| tweetId | string | Tweet's identifier, visit twitter.com/USERNAME/ID to view tweet. |
| userId | string | Tweet's userId |
| username | string | Tweet's username |
| tweetUrl | string | Tweet's URL |
| isRetweet | boolean | True if it is a retweet, False otherwise |
| isPinned | boolean | True if it is a pinned tweet, False otherwise |
| time | datetime | Published date of tweet |
| text | string | Content of tweet |
| replies | integer | Replies count of tweet |
| retweets | integer | Retweet count of tweet |
| likes | integer | Like count of tweet |
| entries | dictionary | Has hashtags, videos, photos, urls keys. Each one's value is list|
### → function **get_trends()** -> list
You can get the Trends of your area simply by calling `get_trends()`. It will return a list of strings.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_trends
>>> get_trends()
['#WHUTOT', '#ARSSOU', 'West Ham', '#AtalantaJuve', '#バビロニア', '#おっさんずラブinthasky', 'Southampton', 'Valverde', '#MMKGabAndMax', '#23NParoNacional']
```
### → class **Profile(username: str)** -> class instance
You can get personal information of a profile, like birthday and biography if exists and public. This class takes username parameter. And returns itself. Access informations with class variables.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile('bugraisguzar')
>>> profile.location
'Istanbul'
>>> profile.name
'Buğra İşgüzar'
>>> profile.username
'bugraisguzar'
```
#### → **.to_dict()** -> dict
**to_dict** is a method of *Profile* class. Returns profile datas as Python dictionary.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile("bugraisguzar")
>>> profile.to_dict()
{'name': 'Buğra İşgüzar', 'username': 'bugraisguzar', 'birthday': None, 'biography': 'geliştirici@peptr', 'website': 'bisguzar.com', 'profile_photo': 'https://pbs.twimg.com/profile_images/1199305322474745861/nByxOcDZ_400x400.jpg', 'banner_photo': 'https://pbs.twimg.com/profile_banners/1019138658/1555346657/1500x500', 'likes_count': 2512, 'tweets_count': 756, 'followers_count': 483, 'following_count': 255, 'is_verified': False, 'is_private': False, user_id: "1019138658"}
```
## Contributing to twitter-scraper
To contribute to twitter-scraper, follow these steps:
1. Fork this repository.
2. Create a branch with clear name: `git checkout -b <branch_name>`.
3. Make your changes and commit them: `git commit -m '<commit_message>'`
4. Push to the original branch: `git push origin <project_name>/<location>`
5. Create the pull request.
Alternatively see the GitHub documentation on [creating a pull request](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request).
## Contributors
Thanks to the following people who have contributed to this project:
* @kennethreitz (author)
* @bisguzar (maintainer)
* @lionking6792
* @ozanbayram
## Contact
If you want to contact me you can reach me at [@bugraisguzar](https://twitter.com/bugraisguzar).
## License
This project uses the following license: [MIT](https://github.com/bisguzar/twitter-scraper/blob/master/LICENSE).
%package help
Summary: Development documents and examples for twitter-scraper
Provides: python3-twitter-scraper-doc
%description help
# Twitter Scraper
   
[🇰🇷 Read Korean Version](https://github.com/bisguzar/twitter-scraper/blob/master/twitter_scraper/__init__.py)
Twitter's API is annoying to work with, and has lots of limitations — luckily their frontend (JavaScript) has it's own API, which I reverse–engineered. No API rate limits. No restrictions. Extremely fast.
You can use this library to get the text of any user's Tweets trivially.
## Prerequisites
Before you begin, ensure you have met the following requirements:
* Internet Connection
* Python 3.6+
## Installing twitter-scraper
If you want to use latest version, install from source. To install twitter-scraper from source, follow these steps:
Linux and macOS:
```bash
git clone https://github.com/bisguzar/twitter-scraper.git
cd twitter-scraper
sudo python3 setup.py install
```
Also, you can install with PyPI.
```bash
pip3 install twitter_scraper
```
## Using twitter_scraper
Just import **twitter_scraper** and call functions!
### → function **get_tweets(query: str [, pages: int])** -> dictionary
You can get tweets of profile or parse tweets from hashtag, **get_tweets** takes username or hashtag on first parameter as string and how much pages you want to scan on second parameter as integer.
#### Keep in mind:
* First parameter need to start with #, number sign, if you want to get tweets from hashtag.
* **pages** parameter is optional.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_tweets
>>>
>>> for tweet in get_tweets('twitter', pages=1):
... print(tweet['text'])
...
spooky vibe check
…
```
It returns a dictionary for each tweet. Keys of the dictionary;
| Key | Type | Description |
|-----------|------------|------------------------------------------------------------------|
| tweetId | string | Tweet's identifier, visit twitter.com/USERNAME/ID to view tweet. |
| userId | string | Tweet's userId |
| username | string | Tweet's username |
| tweetUrl | string | Tweet's URL |
| isRetweet | boolean | True if it is a retweet, False otherwise |
| isPinned | boolean | True if it is a pinned tweet, False otherwise |
| time | datetime | Published date of tweet |
| text | string | Content of tweet |
| replies | integer | Replies count of tweet |
| retweets | integer | Retweet count of tweet |
| likes | integer | Like count of tweet |
| entries | dictionary | Has hashtags, videos, photos, urls keys. Each one's value is list|
### → function **get_trends()** -> list
You can get the Trends of your area simply by calling `get_trends()`. It will return a list of strings.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_trends
>>> get_trends()
['#WHUTOT', '#ARSSOU', 'West Ham', '#AtalantaJuve', '#バビロニア', '#おっさんずラブinthasky', 'Southampton', 'Valverde', '#MMKGabAndMax', '#23NParoNacional']
```
### → class **Profile(username: str)** -> class instance
You can get personal information of a profile, like birthday and biography if exists and public. This class takes username parameter. And returns itself. Access informations with class variables.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile('bugraisguzar')
>>> profile.location
'Istanbul'
>>> profile.name
'Buğra İşgüzar'
>>> profile.username
'bugraisguzar'
```
#### → **.to_dict()** -> dict
**to_dict** is a method of *Profile* class. Returns profile datas as Python dictionary.
```python
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile("bugraisguzar")
>>> profile.to_dict()
{'name': 'Buğra İşgüzar', 'username': 'bugraisguzar', 'birthday': None, 'biography': 'geliştirici@peptr', 'website': 'bisguzar.com', 'profile_photo': 'https://pbs.twimg.com/profile_images/1199305322474745861/nByxOcDZ_400x400.jpg', 'banner_photo': 'https://pbs.twimg.com/profile_banners/1019138658/1555346657/1500x500', 'likes_count': 2512, 'tweets_count': 756, 'followers_count': 483, 'following_count': 255, 'is_verified': False, 'is_private': False, user_id: "1019138658"}
```
## Contributing to twitter-scraper
To contribute to twitter-scraper, follow these steps:
1. Fork this repository.
2. Create a branch with clear name: `git checkout -b <branch_name>`.
3. Make your changes and commit them: `git commit -m '<commit_message>'`
4. Push to the original branch: `git push origin <project_name>/<location>`
5. Create the pull request.
Alternatively see the GitHub documentation on [creating a pull request](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request).
## Contributors
Thanks to the following people who have contributed to this project:
* @kennethreitz (author)
* @bisguzar (maintainer)
* @lionking6792
* @ozanbayram
## Contact
If you want to contact me you can reach me at [@bugraisguzar](https://twitter.com/bugraisguzar).
## License
This project uses the following license: [MIT](https://github.com/bisguzar/twitter-scraper/blob/master/LICENSE).
%prep
%autosetup -n twitter-scraper-0.4.4
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-twitter-scraper -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.4-1
- Package Spec generated
|
