Twitter Profile Scraper
- epctex/twitter-profile-scraper
- Modified
- Users 260
- Runs 4.6k
- Created by
epctex
Scrape any Twitter profile of any user. Extract tweets, replies, favorites, retweets, conversation threads and many more without any limit. Gather user related information such as verification, location, profile image, friends, followers, following and much more! No limits on Twitter!
Since Twitter doesn't provide a good and free API, this actor should help you to retrieve data from it.
Features
Scrape user detail - Scrape any user related information from any profile such as friends, followers, following, verified account, location, profile image, profile banner, profile URL, date of creation and so on.
Scrape tweet - You can retrieve all the tweets from any profile with all the details. Language, sensitive language, reply, quote, retweet, pinned, retweeted and all sorts of Tweet related information.
Scrape statistics - Gather all the statistical information of a tweet.
Why using this actor?
This actor is extremely fast and optimized. It'll scrape Twitter proiles around 26 times faster than the other equivalent scrapers. Therefore you will consume less resources and it will be cheaper to use it.
Bugs, fixes, updates and changelog
This scraper is under active development. If you have any feature requests you can create an issue from here.
Input Parameters
The input of this scraper should be JSON containing the list of pages on Twitter Profile Scraper that should be visited. Required fields are:
| Field | Type | Description |
|---|---|---|
| startUrls | Array | List of Twitter Profile URLs. You should only provide profile URLs. |
| addUserInfo | Boolean | (optional) This will add user information into all scraped tweets. Please keep in mind that the size of the output will increase proportionally by the user information. |
| maxItems | Integer | (optional) You can limit scraped tweets. This should be useful when you scrape a profile with too many tweets. |
| proxy | Object | Proxy configuration |
This solution requires the use of Proxy servers, either your own proxy servers or you can use Apify Proxy.
Tip
When you want to have a scrape over a specific profile URL, just copy and paste the link as one of the startUrl.
Compute Unit Consumption
The actor optimized to run blazing fast and scrape many as tweets as possible. Therefore, it forefronts all tweet detail requests. If actor doesn't block very often it'll scrape 100 tweets in 20 seconds with ~0.02-0.025 compute units.
Twitter Profile Scraper Input example
{
"proxy":{
"useApifyProxy":true
},
"maxItems": 10,
"addUserInfo":true,
"startUrls":[
"https://twitter.com/apify"
]
}
During the Run
During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified. When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page.
If you provide incorrect input to the actor, it will immediately stop with failure state and output an explanation of what is wrong.
Twitter Profile Scraper Export
During the run, the actor stores results into a dataset. Each item is a separate item in the dataset.
You can manage the results in any languague (Python, PHP, Node JS/NPM). See the FAQ or our API reference to learn more about getting results from this Twitter Profile actor.
Scraped Tweets Properties
The structure of each tweet in Twitter Profile Scraper looks like this:
Tweet Detail
{
"user": {
"created_at": "Tue Sep 01 08:38:01 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Apify is a software platform that lets you automate anything a person can do manually in a web browser, and then run it at scale.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "apify.com",
"expanded_url": "https://apify.com",
"url": "https://t.co/TmTF9tTQJv",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 347,
"followers_count": 1032,
"friends_count": 164,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 39,
"location": "The Interweb",
"media_count": 216,
"name": "Apify",
"normal_followers_count": 1032,
"pinned_tweet_ids_str": [
"1322257049527472128"
],
"possibly_sensitive": false,
"profile_banner_extensions": {
"mediaColor": {
"r": {
"ok": {
"palette": [
{
"percentage": 91.13,
"rgb": {
"blue": 255,
"green": 249,
"red": 242
}
},
{
"percentage": 5.18,
"rgb": {
"blue": 255,
"green": 188,
"red": 134
}
},
{
"percentage": 1.91,
"rgb": {
"blue": 112,
"green": 110,
"red": 104
}
},
{
"percentage": 1.78,
"rgb": {
"blue": 255,
"green": 157,
"red": 87
}
}
]
}
}
}
},
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3510729917/1602246779",
"profile_image_extensions": {
"mediaColor": {
"r": {
"ok": {
"palette": [
{
"percentage": 86.89,
"rgb": {
"blue": 255,
"green": 255,
"red": 255
}
},
{
"percentage": 4.83,
"rgb": {
"blue": 19,
"green": 144,
"red": 255
}
},
{
"percentage": 4.27,
"rgb": {
"blue": 1,
"green": 215,
"red": 150
}
},
{
"percentage": 3.05,
"rgb": {
"blue": 233,
"green": 197,
"red": 113
}
},
{
"percentage": 0.29,
"rgb": {
"blue": 169,
"green": 241,
"red": 221
}
}
]
}
}
}
},
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1354484488697425920/aQ5dSaTK_normal.jpg",
"profile_interstitial_type": "",
"protected": false,
"screen_name": "apify",
"statuses_count": 814,
"translator_type": "none",
"url": "https://t.co/TmTF9tTQJv",
"verified": false,
"withheld_in_countries": []
},
"created_at": "Thu Jul 14 13:34:06 +0000 2022",
"conversation_id_str": "1547575166686793730",
"display_text_range": [
0,
280
],
"entities": {
"media": [
{
"display_url": "pic.twitter.com/n5P2o3E7nG",
"expanded_url": "https://twitter.com/apify/status/1547575166686793730/photo/1",
"id_str": "1547575164660879363",
"indices": [
281,
304
],
"media_url_https": "https://pbs.twimg.com/media/FXoXabDUEAMR-4X.jpg",
"type": "photo",
"url": "https://t.co/n5P2o3E7nG",
"features": {
"large": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
},
"medium": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
},
"small": {
"faces": [
{
"x": 272,
"y": 39,
"h": 36,
"w": 36
},
{
"x": 427,
"y": 73,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
}
},
"sizes": {
"large": {
"h": 640,
"w": 1024,
"resize": "fit"
},
"medium": {
"h": 640,
"w": 1024,
"resize": "fit"
},
"small": {
"h": 425,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 640,
"width": 1024,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1024,
"h": 573
},
{
"x": 0,
"y": 0,
"w": 640,
"h": 640
},
{
"x": 1,
"y": 0,
"w": 561,
"h": 640
},
{
"x": 121,
"y": 0,
"w": 320,
"h": 640
},
{
"x": 0,
"y": 0,
"w": 1024,
"h": 640
}
]
}
}
],
"user_mentions": [],
"urls": [
{
"display_url": "apify.it/3uKtuY5",
"expanded_url": "https://apify.it/3uKtuY5",
"url": "https://t.co/3l26ZicZjk",
"indices": [
257,
280
]
}
],
"hashtags": [
{
"indices": [
225,
242
],
"text": "instagramscraper"
},
{
"indices": [
243,
255
],
"text": "webscraping"
}
],
"symbols": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.twitter.com/n5P2o3E7nG",
"expanded_url": "https://twitter.com/apify/status/1547575166686793730/photo/1",
"ext_alt_text": "Three iPhone displays showing the description of three Instagram Scrapers from Apify Store: Instagram Profile Scraper, Instagram Hashtag Scraper, and Instagram Comment Scraper.",
"id_str": "1547575164660879363",
"indices": [
281,
304
],
"media_key": "3_1547575164660879363",
"media_url_https": "https://pbs.twimg.com/media/FXoXabDUEAMR-4X.jpg",
"type": "photo",
"url": "https://t.co/n5P2o3E7nG",
"ext_media_color": {
"palette": [
{
"percentage": 61.19,
"rgb": {
"blue": 242,
"green": 242,
"red": 242
}
},
{
"percentage": 18.76,
"rgb": {
"blue": 226,
"green": 119,
"red": 211
}
},
{
"percentage": 9.6,
"rgb": {
"blue": 189,
"green": 120,
"red": 147
}
},
{
"percentage": 3.7,
"rgb": {
"blue": 63,
"green": 48,
"red": 62
}
},
{
"percentage": 2.01,
"rgb": {
"blue": 195,
"green": 120,
"red": 228
}
}
]
},
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
},
"medium": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
},
"small": {
"faces": [
{
"x": 272,
"y": 39,
"h": 36,
"w": 36
},
{
"x": 427,
"y": 73,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 411,
"y": 60,
"h": 55,
"w": 55
},
{
"x": 644,
"y": 111,
"h": 57,
"w": 57
}
]
}
},
"sizes": {
"large": {
"h": 640,
"w": 1024,
"resize": "fit"
},
"medium": {
"h": 640,
"w": 1024,
"resize": "fit"
},
"small": {
"h": 425,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 640,
"width": 1024,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1024,
"h": 573
},
{
"x": 0,
"y": 0,
"w": 640,
"h": 640
},
{
"x": 1,
"y": 0,
"w": 561,
"h": 640
},
{
"x": 121,
"y": 0,
"w": 320,
"h": 640
},
{
"x": 0,
"y": 0,
"w": 1024,
"h": 640
}
]
}
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "Extract profile information from Instagram with Instagram Profile Scraper! 馃摳 Quick, ready-made, and easy to set up, Instagram Scraper lets you extract usernames, followers & follows, bio, likes, & more. Try it now! 馃憞 #instagramscraper #webscraping https://t.co/3l26ZicZjk https://t.co/n5P2o3E7nG",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"source": "<a href=\"http://www.hubspot.com/\" rel=\"nofollow\">HubSpot</a>",
"user_id_str": "3510729917",
"id_str": "1547575166686793730"
}
Industries
See how Twitter Profile Scraper is used in industries around the world
