🏯 Twitter List Scraper that you were seeking for.

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!

ℹ️ Disclaimer

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.

🆓 Demo Mode & Free Users

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.

🎎 Who needs this?

Twitter List Scraper is designed to provide exceptional efficiency, speed, and cost-effectiveness for a diverse range of users:

• Twitter List Scraper is designed to effortlessly manage extensive link or user scraping tasks, making it an ideal choice for Data Analysts who need to handle large volumes of data efficiently and cost-effectively.
• If you're passionate about detailed and filtered user scraping, Twitter List Scraper's robust filtering capabilities allow Data Enthusiasts to precisely extract the most relevant data.
• Researchers can rely on Twitter List Scraper for comprehensive search scraping, enabling them to uncover valuable insights deep within the data.
• Entrepreneurs working on time-sensitive tasks benefit from Twitter List Scraper's lightweight design and quick startup, ensuring rapid access to the necessary data.

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.

🍜 Output Example

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}

🍚 Input Parameters

🔧 Troubleshooting

• Getting Few Results? Check "Maximum number of items on output" (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.
• Are Some Outputs Missing? Ensure that you review all fields, not just the overview. You can navigate to the "Storage" tab and select either "Download the results" or "Open in a New Tab."
• Getting No Results? Confirm that your parameters are not overly restrictive.
• Not Receiving New Tweets After a Large Batch? Examine the log for messages like "Logging is too fast, some lines were skipped." If you encounter this issue, consider scraping smaller amounts of data to avoid it.

📞 Contact and Feature Requests

If you need any sort of support, please send an email to apidojo10@gmail.com. You name it, we get it.

🈴 Other Actors you might want to check

• Twitter Scraper Lite
• Tweet Scraper
• Twitter User Scraper
• TikTok Comment Scraper
• TikTok User Scraper