Discover the Twitter (X) List Scraper you've been looking for! Find the ultimate tool for extracting Tweets List from X / Twitter! It offers unparalleled speed and comprehensiveness, ensuring lightning-fast extraction of Tweets.
Discover the Twitter List Scraper you've been looking for! Find the ultimate tool for extracting Twitter List data on x.com. It offers unparalleled speed and comprehensiveness, ensuring lightning-fast extraction of List data. Whether you're a researcher requiring extensive Twitter data for analysis or a business in search of customer sentiment and trend insights, Twitter List Scraper is your perfect solution. Plus, the best part is that it's available at a cost of only $0.30 per 1000 tweets, with the ability to scrape 30-80 tweets per second!
We are people who are experts on data extraction. This actor is overly optimized for List Scraping and we offer you an extensive set of tools. Not just that, but, we offer high maintenance and perfect support. No bullsh*t - just data. You name it, we get it.
The users that are on Free Plan can use the actor only on Demo Mode. Please keep in mind that the users that are on Free Plan can retrieve a maximum of 10 items, and cannot use the actor via API. If you want to use this actor without any limitation, you have to subscribe to a paid plan on Apify. You can check this link to subscribe easily.
Twitter List Scraper is designed to provide exceptional efficiency, speed, and cost-effectiveness for a diverse range of users:
Twitter List Scraper is not only proficient in managing extensive tasks but also an excellent choice for smaller projects, thanks to its adaptable settings and scalability. Whether your project is large or small, Twitter List Scraper is designed to provide optimal performance.
1{ 2 "type": "tweet", 3 "id": "1757983181972930764", 4 "url": "https://x.com/ESPNStatsInfo/status/1757983181972930764", 5 "twitterUrl": "https://twitter.com/ESPNStatsInfo/status/1757983181972930764", 6 "text": "Anthony Davis and Rui Hachimura are the 1st @Lakers duo with 35 points each in the same game since Kobe Bryant and Shaquille O'Neal in 2003. https://t.co/HgXdoJfXsm", 7 "retweetCount": 58, 8 "replyCount": 10, 9 "likeCount": 158, 10 "quoteCount": 8, 11 "createdAt": "Thu Feb 15 04:20:26 +0000 2024", 12 "lang": "en", 13 "bookmarkCount": 7, 14 "isReply": false, 15 "author": { 16 "type": "user", 17 "userName": "ESPNStatsInfo", 18 "url": "https://x.com/ESPNStatsInfo", 19 "twitterUrl": "https://twitter.com/ESPNStatsInfo", 20 "id": "53120768", 21 "name": "ESPN Stats & Info", 22 "isVerified": true, 23 "isBlueVerified": true, 24 "verifiedType": "business", 25 "hasNftAvatar": false, 26 "profilePicture": "https://pbs.twimg.com/profile_images/747495844157472769/Np_LXZ_x_normal.jpg", 27 "coverPicture": "https://pbs.twimg.com/profile_banners/53120768/1679619398", 28 "description": "Our mission is to serve fans across every ESPN platform with the fastest, most accurate and insightful statistics, scores, news and analysis.", 29 "location": "Bristol, CT", 30 "followers": 1828908, 31 "following": 61, 32 "protected": false, 33 "status": "", 34 "canDm": false, 35 "canMediaTag": true, 36 "advertiserAccountType": "promotable_user", 37 "analyticsType": "enabled", 38 "createdAt": "Thu Jul 02 17:03:54 +0000 2009", 39 "entities": { 40 "description": { 41 "hashtags": [], 42 "symbols": [], 43 "urls": [], 44 "user_mentions": [] 45 } 46 }, 47 "fastFollowersCount": 0, 48 "favouritesCount": 810, 49 "geoEnabled": true, 50 "hasCustomTimelines": true, 51 "hasExtendedProfile": false, 52 "isTranslator": false, 53 "mediaCount": 46266, 54 "profileBackgroundColor": "131516", 55 "statusesCount": 162931, 56 "translatorTypeEnum": "None", 57 "withheldInCountries": [], 58 "affiliatesHighlightedLabel": { 59 "label": { 60 "url": { 61 "urlType": "DeepLink", 62 "url": "https://twitter.com/espn" 63 }, 64 "badge": { 65 "url": "https://pbs.twimg.com/profile_images/1170690523201527808/FriNRiir_bigger.png" 66 }, 67 "userLabelType": "BusinessLabel", 68 "userLabelDisplayType": "Badge", 69 "description": "ESPN" 70 } 71 } 72 }, 73 "extendedEntities": { 74 "media": [ 75 { 76 "display_url": "pic.twitter.com/HgXdoJfXsm", 77 "expanded_url": "https://twitter.com/ESPNStatsInfo/status/1757983181972930764/photo/1", 78 "ext_media_availability": { 79 "status": "Available" 80 }, 81 "features": { 82 "large": { 83 "faces": [ 84 { 85 "x": 16, 86 "y": 527, 87 "h": 44, 88 "w": 44 89 }, 90 { 91 "x": 236, 92 "y": 124, 93 "h": 72, 94 "w": 72 95 }, 96 { 97 "x": 655, 98 "y": 91, 99 "h": 91, 100 "w": 91 101 } 102 ] 103 } 104 }, 105 "id_str": "1757982666929131520", 106 "indices": [ 107 141, 108 164 109 ], 110 "media_key": "3_1757982666929131520", 111 "media_url_https": "https://pbs.twimg.com/media/GGWb69-a0AAj1iA.jpg", 112 "original_info": { 113 "width": 1024, 114 "height": 1024, 115 "focus_rects": [ 116 { 117 "x": 0, 118 "y": 0, 119 "w": 1024, 120 "h": 573 121 }, 122 { 123 "x": 0, 124 "y": 0, 125 "w": 1024, 126 "h": 1024 127 }, 128 { 129 "x": 0, 130 "y": 0, 131 "w": 898, 132 "h": 1024 133 }, 134 { 135 "x": 25, 136 "y": 0, 137 "w": 512, 138 "h": 1024 139 }, 140 { 141 "x": 0, 142 "y": 0, 143 "w": 1024, 144 "h": 1024 145 } 146 ] 147 }, 148 "sizes": { 149 "large": { 150 "w": 1024, 151 "h": 1024 152 } 153 }, 154 "type": "photo", 155 "url": "https://t.co/HgXdoJfXsm" 156 }, 157 { 158 "display_url": "pic.twitter.com/HgXdoJfXsm", 159 "expanded_url": "https://twitter.com/ESPNStatsInfo/status/1757983181972930764/photo/1", 160 "ext_media_availability": { 161 "status": "Available" 162 }, 163 "features": { 164 "large": { 165 "faces": [ 166 { 167 "x": 737, 168 "y": 149, 169 "h": 112, 170 "w": 112 171 }, 172 { 173 "x": 239, 174 "y": 61, 175 "h": 112, 176 "w": 112 177 } 178 ] 179 } 180 }, 181 "id_str": "1757983123135172608", 182 "indices": [ 183 141, 184 164 185 ], 186 "media_key": "3_1757983123135172608", 187 "media_url_https": "https://pbs.twimg.com/media/GGWcVheakAAAJ4J.jpg", 188 "original_info": { 189 "width": 1024, 190 "height": 667, 191 "focus_rects": [ 192 { 193 "x": 0, 194 "y": 94, 195 "w": 1024, 196 "h": 573 197 }, 198 { 199 "x": 357, 200 "y": 0, 201 "w": 667, 202 "h": 667 203 }, 204 { 205 "x": 439, 206 "y": 0, 207 "w": 585, 208 "h": 667 209 }, 210 { 211 "x": 626, 212 "y": 0, 213 "w": 334, 214 "h": 667 215 }, 216 { 217 "x": 0, 218 "y": 0, 219 "w": 1024, 220 "h": 667 221 } 222 ] 223 }, 224 "sizes": { 225 "large": { 226 "w": 1024, 227 "h": 667 228 } 229 }, 230 "type": "photo", 231 "url": "https://t.co/HgXdoJfXsm" 232 } 233 ] 234 }, 235 "isRetweet": false, 236 "isQuote": false, 237 "media": [ 238 "https://pbs.twimg.com/media/GGWb69-a0AAj1iA.jpg", 239 "https://pbs.twimg.com/media/GGWcVheakAAAJ4J.jpg" 240 ] 241}
Field | Type | Description | Default value |
---|---|---|---|
startUrls | array | Twitter (X) URLs. Paste the URLs and get the results immediately. List URLs are supported. | [] |
listIds | array | These are the IDs of the Twitter lists from which you wish to retrieve tweets. They correspond to the last part of the URL, as illustrated by the example: 78783491 is the ID associated with the list in the URL: https://twitter.com/i/lists/78783491. | [] |
maxItems | number | Maximum number of items that you want to receive as output | Infinity |
customMapFunction | String | Function that takes each of the objects as argument and returns data that will be mapped by the function itself. This function is not intended for filtering, please don't use it for filtering purposes or you will get banned automatically. | null |
maxItems
) field, and "Maximum charged results" fields. These two fields enable you to handle the total number of results. Leaving both empty will result infinite results.If you need any sort of support, please send an email to apidojo10@gmail.com. You name it, we get it.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!