Python's package to scrape Twitter's front-end easily with selenium.
Table of Contents
- Getting Started
- Usage
- Privacy
- License
Download the source code or clone it with:
git clone https://github.com/shaikhsajid1111/twitter-scraper-selenium
Open terminal inside the downloaded folder:
python3 setup.py install
Installing with PyPI
pip3 install twitter-scraper-selenium
Function Name | Function Description | Scraping Method | Scraping Speed |
scrape_profile() |
Scrape's Twitter user's profile tweets | Browser Automation | Slow |
scrape_keyword() |
Scrape's Twitter tweets using keyword provided. | Browser Automation | Slow |
scrape_topic() |
Scrape's Twitter tweets by URL. It expects the URL of the topic. | Browser Automation | Slow |
scrape_keyword_with_api() |
Scrape's Twitter tweets by query/keywords. For an advanced search, query can be built from here. | HTTP Request | Fast |
get_profile_details() |
Scrape's Twitter user details. | HTTP Request | Fast |
scrape_topic_with_api() |
Scrape's Twitter tweets by URL. It expects the URL of the topic | Browser Automation & HTTP Request | Fast |
scrape_profile_with_api() |
Scrape's Twitter tweets by twitter profile username. It expects the username of the profile | Browser Automation & HTTP Request | Fast |
Note: HTTP Request Method sends the request to Twitter's API directly for scraping data, and Browser Automation visits that page, scroll while collecting the data.
from twitter_scraper_selenium import get_profile_details
twitter_username = "TwitterAPI"
filename = "twitter_api_data"
get_profile_details(twitter_username=twitter_username, filename=filename)
Output:
{
"id": 6253282,
"id_str": "6253282",
"name": "Twitter API",
"screen_name": "TwitterAPI",
"location": "San Francisco, CA",
"profile_location": null,
"description": "The Real Twitter API. Tweets about API changes, service issues and our Developer Platform. Don't get an answer? It's on my website.",
"url": "https:\/\/t.co\/8IkCzCDr19",
"entities": {
"url": {
"urls": [{
"url": "https:\/\/t.co\/8IkCzCDr19",
"expanded_url": "https:\/\/developer.twitter.com",
"display_url": "developer.twitter.com",
"indices": [
0,
23
]
}]
},
"description": {
"urls": []
}
},
"protected": false,
"followers_count": 6133636,
"friends_count": 12,
"listed_count": 12936,
"created_at": "Wed May 23 06:01:13 +0000 2007",
"favourites_count": 31,
"utc_offset": null,
"time_zone": null,
"geo_enabled": null,
"verified": true,
"statuses_count": 3656,
"lang": null,
"contributors_enabled": null,
"is_translator": null,
"is_translation_enabled": null,
"profile_background_color": null,
"profile_background_image_url": null,
"profile_background_image_url_https": null,
"profile_background_tile": null,
"profile_image_url": null,
"profile_image_url_https": "https:\/\/pbs.twimg.com\/profile_images\/942858479592554497\/BbazLO9L_normal.jpg",
"profile_banner_url": null,
"profile_link_color": null,
"profile_sidebar_border_color": null,
"profile_sidebar_fill_color": null,
"profile_text_color": null,
"profile_use_background_image": null,
"has_extended_profile": null,
"default_profile": false,
"default_profile_image": false,
"following": null,
"follow_request_sent": null,
"notifications": null,
"translator_type": null
}
get_profile_details()
arguments:
Argument | Argument Type | Description |
twitter_username | String | Twitter Username |
output_filename | String | What should be the filename where output is stored?. |
output_dir | String | What directory output file should be saved? |
proxy | String | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port. |
In JSON format:
from twitter_scraper_selenium import scrape_profile
microsoft = scrape_profile(twitter_username="microsoft",output_format="json",browser="firefox",tweets_count=10)
print(microsoft)
Output:
{
"1430938749840629773": {
"tweet_id": "1430938749840629773",
"username": "Microsoft",
"name": "Microsoft",
"profile_picture": "https://twitter.com/Microsoft/photo",
"replies": 29,
"retweets": 58,
"likes": 453,
"is_retweet": false,
"retweet_link": "",
"posted_time": "2021-08-26T17:02:38+00:00",
"content": "Easy to use and efficient for all \u2013 Windows 11 is committed to an accessible future.\n\nHere's how it empowers everyone to create, connect, and achieve more: https://msft.it/6009X6tbW ",
"hashtags": [],
"mentions": [],
"images": [],
"videos": [],
"tweet_url": "https://twitter.com/Microsoft/status/1430938749840629773",
"link": "https://blogs.windows.com/windowsexperience/2021/07/01/whats-coming-in-windows-11-accessibility/?ocid=FY22_soc_omc_br_tw_Windows_AC"
},...
}
In CSV format:
from twitter_scraper_selenium import scrape_profile
scrape_profile(twitter_username="microsoft",output_format="csv",browser="firefox",tweets_count=10,filename="microsoft",directory="/home/user/Downloads")
Output:
tweet_id | username | name | profile_picture | replies | retweets | likes | is_retweet | retweet_link | posted_time | content | hashtags | mentions | images | videos | post_url | link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1430938749840629773 | Microsoft | Microsoft | https://twitter.com/Microsoft/photo | 64 | 75 | 521 | False | 2021-08-26T17:02:38+00:00 | Easy to use and efficient for all – Windows 11 is committed to an accessible future. Here's how it empowers everyone to create, connect, and achieve more: https://msft.it/6009X6tbW |
[] | [] | [] | [] | https://twitter.com/Microsoft/status/1430938749840629773 | https://blogs.windows.com/windowsexperience/2021/07/01/whats-coming-in-windows-11-accessibility/?ocid=FY22_soc_omc_br_tw_Windows_AC |
...
scrape_profile()
arguments:
Argument | Argument Type | Description |
twitter_username | String | Twitter username of the account |
browser | String | Which browser to use for scraping?, Only 2 are supported Chrome and Firefox. Default is set to Firefox |
proxy | String | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port. |
tweets_count | Integer | Number of posts to scrape. Default is 10. |
output_format | String | The output format, whether JSON or CSV. Default is JSON. |
filename | String | If output parameter is set to CSV, then it is necessary for filename parameter to passed. If not passed then the filename will be same as username passed. |
directory | String | If output_format parameter is set to CSV, then it is valid for directory parameter to be passed. If not passed then CSV file will be saved in current working directory. |
headless | Boolean | Whether to run crawler headlessly?. Default is True |
Keys of the output
Key | Type | Description |
tweet_id | String | Post Identifier(integer casted inside string) |
username | String | Username of the profile |
name | String | Name of the profile |
profile_picture | String | Profile Picture link |
replies | Integer | Number of replies of tweet |
retweets | Integer | Number of retweets of tweet |
likes | Integer | Number of likes of tweet |
is_retweet | boolean | Is the tweet a retweet? |
retweet_link | String | If it is retweet, then the retweet link else it'll be empty string |
posted_time | String | Time when tweet was posted in ISO 8601 format |
content | String | content of tweet as text |
hashtags | Array | Hashtags presents in tweet, if they're present in tweet |
mentions | Array | Mentions presents in tweet, if they're present in tweet |
images | Array | Images links, if they're present in tweet |
videos | Array | Videos links, if they're present in tweet |
tweet_url | String | URL of the tweet |
link | String | If any link is present inside tweet for some external website. |
from twitter_scraper_selenium import scrape_keyword_with_api
query = "#gaming"
tweets_count = 10
output_filename = "gaming_hashtag_data"
scrape_keyword_with_api(query=query, tweets_count=tweets_count, output_filename=output_filename)
Output:
{
"1583821467732480001": {
"tweet_url" : "https://twitter.com/yakubblackbeard/status/1583821467732480001",
"tweet_details":{
...
},
"user_details":{
...
}
}, ...
}
scrape_keyword_with_api()
arguments:
Argument | Argument Type | Description |
query | String | Query to search. The query can be built from here for advanced search. |
tweets_count | Integer | Number of tweets to scrape. |
output_filename | String | What should be the filename where output is stored?. |
output_dir | String | What directory output file should be saved? |
proxy | String | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port. |
Keys of the output:
Key | Type | Description |
tweet_url | String | URL of the tweet. |
tweet_details | Dictionary | A dictionary containing the data about the tweet. All fields which will be available inside can be checked here |
user_details | Dictionary | A dictionary containing the data about the tweet owner. All fields which will be available inside can be checked here |
In JSON format:
from twitter_scraper_selenium import scrape_keyword
#scrape 10 posts by searching keyword "india" from date 30th August till date 31st August
india = scrape_keyword(keyword="india", browser="firefox",
tweets_count=10,output_format="json" ,until="2021-08-31", since="2021-08-30")
print(india)
Output:
{
"1432493306152243200": {
"tweet_id": "1432493306152243200",
"username": "TOICitiesNews",
"name": "TOI Cities",
"profile_picture": "https://twitter.com/TOICitiesNews/photo",
"replies": 0,
"retweets": 0,
"likes": 0,
"is_retweet": false,
"posted_time": "2021-08-30T23:59:53+00:00",
"content": "Paralympians rake in medals, India Inc showers them with rewards",
"hashtags": [],
"mentions": [],
"images": [],
"videos": [],
"tweet_url": "https://twitter.com/TOICitiesNews/status/1432493306152243200",
"link": "https://t.co/odmappLovL?amp=1"
},...
}
In CSV format:
from twitter_scraper_selenium import scrape_keyword
scrape_keyword(keyword="india", browser="firefox",
tweets_count=10, until="2021-08-31", since="2021-08-30",output_format="csv",filename="india")
Output:
tweet_id | username | name | profile_picture | replies | retweets | likes | is_retweet | posted_time | content | hashtags | mentions | images | videos | tweet_url | link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1432493306152243200 | TOICitiesNews | TOI Cities | https://twitter.com/TOICitiesNews/photo | 0 | 0 | 0 | False | 2021-08-30T23:59:53+00:00 | Paralympians rake in medals, India Inc showers them with rewards | [] | [] | [] | [] | https://twitter.com/TOICitiesNews/status/1432493306152243200 | https://t.co/odmappLovL?amp=1 |
...
scrape_keyword()
arguments:
Argument | Argument Type | Description |
keyword | String | Keyword to search on twitter. |
browser | String | Which browser to use for scraping?, Only 2 are supported Chrome and Firefox,default is set to Firefox. |
until | String | Optional parameter, Until date for scraping, a end date from where search ends. Format for date is YYYY-MM-DD. |
since | String | Optional parameter, Since date for scraping, a past date from where to search from. Format for date is YYYY-MM-DD. |
proxy | Integer | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port |
tweets_count | Integer | Number of posts to scrape. Default is 10. |
output_format | String | The output format, whether JSON or CSV. Default is JSON. |
filename | String | If output parameter is set to CSV, then it is necessary for filename parameter to passed. If not passed then the filename will be same as keyword passed. |
directory | String | If output parameter is set to CSV, then it is valid for directory parameter to be passed. If not passed then CSV file will be saved in current working directory. |
since_id | Integer | After (NOT inclusive) a specified Snowflake ID. Example here |
max_id | Integer | At or before (inclusive) a specified Snowflake ID. Example here |
within_time | String | Search within the last number of days, hours, minutes, or seconds. Example 2d, 3h, 5m, 30s . |
headless | Boolean | Whether to run crawler headlessly?. Default is True |
Keys of the output
Key | Type | Description |
tweet_id | String | Post Identifier(integer casted inside string) |
username | String | Username of the profile |
name | String | Name of the profile |
profile_picture | String | Profile Picture link |
replies | Integer | Number of replies of tweet |
retweets | Integer | Number of retweets of tweet |
likes | Integer | Number of likes of tweet |
is_retweet | boolean | Is the tweet a retweet? |
posted_time | String | Time when tweet was posted in ISO 8601 format |
content | String | content of tweet as text |
hashtags | Array | Hashtags presents in tweet, if they're present in tweet |
mentions | Array | Mentions presents in tweet, if they're present in tweet |
images | Array | Images links, if they're present in tweet |
videos | Array | Videos links, if they're present in tweet |
tweet_url | String | URL of the tweet |
link | String | If any link is present inside tweet for some external website. |
from twitter_scraper_selenium import scrape_topic_with_api
topic_url = 'https://twitter.com/i/topics/1468157909318045697'
scrape_topic_with_api(URL=topic_url, output_filename='solana_cryptocurrency', tweets_count=50)
Output:
{
"1584979408338632705": {
"tweet_url" : "https://twitter.com/AptosBullCNFT/status/1584979408338632705",
"tweet_details":{
...
},
"user_details":{
...
}
}, ...
}
scrape_topic_with_api()
arguments:
Argument | Argument Type | Description |
URL | String | Twitter's Topic URL |
tweets_count | Integer | Number of tweets to scrape. |
output_filename | String | What should be the filename where output is stored?. |
output_dir | String | What directory output file should be saved? |
proxy | String | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port. |
browser | String | Which browser to use for extracting out graphql key. Default is firefox. |
headless | String | Whether to run browser in headless mode? |
Keys of the output:
Same as scrape_keyword_with_api
from twitter_scraper_selenium import scrape_topic
# scrape 10 tweets from steam deck topic on twitter
data = scrape_topic(filename="steamdeck", url='https://twitter.com/i/topics/1415728297065861123',
browser="firefox", tweets_count=10)
Keys of the output:
Same as scrape_profile
scrape_topic()
arguments:
Arguments | Argument Type |
Description |
---|---|---|
filename | str | Filename to write result output. |
URL | str | Topic URL. |
browser | str | Which browser to use for scraping? Only 2 are supported Chrome and Firefox. default firefox |
proxy | str | If user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port |
tweets_count | int | Number of posts to scrape. default 10. |
output_format | str | The output format whether JSON or CSV. Default json. |
directory | str | Directory to save output file. Deafult current working directory. |
To Scrap profile's tweets with API:
from twitter_scraper_selenium import scrape_profile_with_api
scrape_profile_with_api('elonmusk', output_filename='musk', tweets_count= 100)
scrape_profile_with_api()
Arguments:
Argument | Argument Type | Description |
username | String | Twitter's Profile username |
tweets_count | Integer | Number of tweets to scrape. |
output_filename | String | What should be the filename where output is stored?. |
output_dir | String | What directory output file should be saved? |
proxy | String | Optional parameter, if user wants to use proxy for scraping. If the proxy is authenticated proxy then the proxy format is username:password@host:port. |
browser | String | Which browser to use for extracting out graphql key. Default is firefox. |
headless | String | Whether to run browser in headless mode? |
Output:
{
"1608939190548598784": {
"tweet_url" : "https://twitter.com/elonmusk/status/1608939190548598784",
"tweet_details":{
...
},
"user_details":{
...
}
}, ...
}
Just pass proxy
argument to function.
from twitter_scraper_selenium import scrape_keyword
scrape_keyword(keyword="#india", browser="firefox",tweets_count=10,output="csv",filename="india",
proxy="66.115.38.247:5678") #In IP:PORT format
Proxy that requires authentication:
from twitter_scraper_selenium import scrape_profile
microsoft_data = scrape_profile(twitter_username="microsoft", browser="chrome", tweets_count=10, output="json",
proxy="sajid:pass123@66.115.38.247:5678") # username:password@IP:PORT
print(microsoft_data)
This scraper only scrapes public data available to unauthenticated user and does not holds the capability to scrape anything private.