LAGIC
Lead Audience Growth Intelligence Computing
X

X Twitter Scraper ( results) — X | Lagic

Built For

Extract public tweets by keyword, user, or date for market research and brand monitoring.

Curated by Lagic·Verified working

Configure Agent

Maximum number of results to scrape

Query to search

Twitter username to scrape tweets from, if empty a general search will be performed

Select min date in format YYYY-MM-DD

Select max date in format YYYY-MM-DD

Select how replies should be handled

Select how retweets should be handled

Select how quote tweets should be handled

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full text content of the tweetDirect URL to the tweetUnique tweet IDEngagement counts: comments, likes, quotes, and retweetsDate and time the tweet was createdAuthor's full name, username (@handle), and profile picture URL
Value...https://...10093752026-04-05https://...
Value...https://...100915372026-04-05https://...
..................
Exports as:CSVXLSXJSON

Overview

Scrape public X (formerly Twitter) data by keyword, specific username, or date range. Get tweet text, engagement stats like likes and retweets, and author information for sentiment analysis or campaign tracking.

This tool extracts public data from X (formerly Twitter) based on your specific criteria. You can perform broad searches for keywords and hashtags, or focus on the activity of a single user account. A comprehensive set of filters allows you to narrow down results to find exactly what you need, whether it's for market research, brand monitoring, academic studies, or content curation. ### Who is this for? - **Marketing Agencies & Brand Managers:** Track campaign hashtags, monitor brand mentions, analyze competitor strategies, and gauge public sentiment around products or announcements. - **Data Analysts & Researchers:** Collect large datasets of public conversations for analysis on social trends, political discourse, or public opinion on breaking news. - **Sales & Lead Generation Teams:** Identify potential customers by searching for keywords that indicate buying intent (e.g., "looking for a new CRM"). - **Journalists:** Source public reactions to events, find eyewitness accounts, and gather user-generated content. ### Advanced Filtering for Precise Data Beyond simple keyword or user searches, this tool provides granular control over the data you collect. You can specify date ranges to analyze activity during a specific campaign or event. Furthermore, you can choose to exclusively include or exclude different types of tweets, such as replies, retweets, quotes, and posts containing links or media. This ensures your final dataset is clean and directly relevant to your project, saving you hours of manual filtering.

Key Capabilities

  • ✓ Full text content of the tweet
  • ✓ Direct URL to the tweet
  • ✓ Unique tweet ID
  • ✓ Engagement counts: comments, likes, quotes, and retweets
  • ✓ Date and time the tweet was created
  • ✓ Author's full name, username (@handle), and profile picture URL
  • ✓ Indication of whether the author's account is verified
  • ✓ URLs of any images or links included in the tweet
  • ✓ List of usernames the tweet is replying to
  • ✓ A boolean indicating if the post is a retweet
  • ✓ Track Campaign Performance: A marketing agency can monitor a specific campaign hashtag within a set date range, excluding retweets to focus on original user-generated content and sentiment.
  • ✓ Gather Product Feedback: A product manager can scrape all tweets mentioning their product's name to collect user feedback, feature requests, and bug reports.
  • ✓ Analyze Competitor Activity: A brand strategist can extract all tweets from a competitor's X account to analyze their content strategy, engagement rates, and follower interactions.
  • ✓ Conduct Academic Research: A sociologist can collect tweets related to a social movement, filtering for posts from verified accounts to study media narratives.
  • ✓ Find User-Generated Content: A social media manager can search for their brand name and filter for tweets that contain only images or videos to find content for resharing.
  • ✓ Monitor Breaking News: A journalist can track a developing story by searching for relevant keywords and filtering for tweets near a specific location.
  • ✓ Identify Sales Leads: A sales development representative can search for phrases like "can anyone recommend" or "looking for a tool" to find potential customers actively seeking solutions.

Field Dictionary

How To Run This Extractor

1

Enter a keyword or hashtag in the 'Search query' field, an X @handle in the 'Username' field, or both.

2

Set the 'Max Items' to define the maximum number of tweets you want to retrieve.

3

Optionally, specify a 'Min date' and 'Max date' (in YYYY-MM-DD format) to narrow the timeframe.

4

Apply filters to include or exclude replies, retweets, links, media, and other tweet types.

5

Click 'Run' to start the data extraction process.

6

Once finished, download the collected tweet data in a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need an X account or any coding skills to use this?
No, you do not need your own X account or any coding knowledge. You can configure and run the tool through a simple interface.
What formats can I export the data in?
Is it legal to scrape public X data?
How many tweets can I scrape?
Can I use this for client work?
What makes this different from just using X's search?
How fresh is the data?
Can I schedule this tool to run automatically?
Can I scrape tweets from a specific user *about* a certain topic?
How do I get only original tweets and not retweets or replies?
Can I search for tweets in a specific geographic area?