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Ultimate X (Twitter) Advanced Search Scraper — X (Twitter) | Lagic

Built ForMarketing AgenciesMarket Research FirmsBrand Management Teams

Uncover precise X (Twitter) conversations and trends.

Curated by Lagic·Verified working

Configure Agent

Start date (inclusive). Format: YYYY-MM-DD.

End date (inclusive). Format: YYYY-MM-DD.

How to split the date range into segments: day, week or month.

Language filter for search. Use 'any' to disable filtering.

Maximum number of tweets to collect. 0 means unlimited.

Tweets must contain all these words (space-separated).

Tweets must contain this exact phrase.

Tweets containing any of these words (space-separated) will match.

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.

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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 tweet textTweet creation date and timeDirect URL to the tweetUnique tweet IDNumber of likesNumber of reposts (retweets + quotes)
Value...2026-04-05https://...10092247434
Value...2026-04-05https://...10096865369
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts X (Twitter) posts, author details, and engagement metrics using advanced search filters like keywords, hashtags, accounts, and date ranges, ideal for market research and trend analysis.

### Deep Dive into X (Twitter) Conversations Understanding public discourse on X (formerly Twitter) is crucial for marketers, researchers, and strategists. This tool goes beyond basic searches, allowing you to pinpoint specific conversations and gather detailed data without needing a developer to interact with an API. You can define your search with precision, filtering by exact phrases, multiple keywords, specific hashtags, or even tweets directed to or from particular accounts. ### Granular Filtering for Actionable Insights The `Ultimate X (Twitter) Advanced Search Scraper` offers a robust set of filters to narrow down millions of posts to the exact dataset you need. Specify a `Start Date` and `End Date` to focus on relevant timeframes, then choose to `Split Mode` your results by day, week, or month for structured analysis. Beyond content, you can filter by `Language` to target specific markets, or by `Minimum replies`, `Minimum likes`, and `Minimum reposts` to focus on high-engagement content or influential voices. This level of detail helps you cut through noise and extract truly meaningful social signals. ### What Data You Get For each matching post, the tool delivers a wealth of information. You'll receive the `full text` of the tweet, along with its `creation date`, `language`, and direct `tweet URL`. Crucially, it captures `engagement metrics` like `like count`, `repost count`, `reply count`, and even `view count`, giving you a clear picture of content performance. Author details such as `author handle`, `author name`, `author URL`, and `isVerified` status are also included, enabling influencer identification and deeper profile analysis. You can also identify if a post is an `ad` or a `reply`, and who it's `in reply to`. This rich, structured data is ready for immediate use in spreadsheets, databases, or analytics platforms, empowering you to conduct in-depth social listening, competitor analysis, and trend monitoring.

Key Capabilities

  • Full tweet text
  • Tweet creation date and time
  • Direct URL to the tweet
  • Unique tweet ID
  • Number of likes
  • Number of reposts (retweets + quotes)
  • Number of replies
  • Number of views
  • Number of bookmarks
  • Author's X (Twitter) handle
  • Author's display name
  • Author's profile URL
  • Whether the author is verified
  • Whether the tweet is an ad
  • Whether the tweet is a reply
  • Handle, name, and URL of the account replied to (if applicable)
  • Language of the tweet
  • Image URLs included in the tweet
  • The search query string that retrieved the tweet
  • URL of the search results page
  • Track public sentiment around a new product launch or marketing campaign by collecting tweets mentioning specific keywords and hashtags within a date range.
  • Monitor competitor activity on X (Twitter) by extracting posts from their accounts or mentioning their brand, analyzing their content strategy and audience engagement.
  • Identify influential voices and potential brand advocates by searching for posts with high engagement (likes, reposts) around industry-specific topics.
  • Gather data for academic research on social discourse, political trends, or public opinion by collecting tweets matching precise search criteria over specific periods.
  • Analyze customer feedback and support requests by scraping tweets mentioning your brand or related keywords, filtering for replies or specific sentiments.
  • Discover trending topics and emerging discussions in a specific niche by using broad keyword searches and observing frequently used hashtags and phrases.
  • Build datasets for machine learning models to analyze tweet characteristics, predict virality, or classify content based on various metadata.

Field Dictionary

How To Run This Extractor

1

Define your desired `Start Date` and `End Date` for the data collection.

2

Choose how to `Split Mode` the date range (day, week, or month) to optimize your search.

3

Enter your keywords, exact phrases, or hashtags in the relevant fields to specify content.

4

Optionally, narrow down your search by `Language` or by `From these accounts`, `To these accounts`, or `Mentioning these accounts`.

5

Set `Minimum replies`, `Minimum likes`, or `Minimum reposts` if you want to focus on highly engaged content.

6

Specify a `Max Items` limit or leave it at zero for unlimited results, then run the tool to start collecting data.

7

Once the run completes, download your structured X (Twitter) data in your preferred format.

Frequently Asked Questions

Do I need an X (Twitter) account to use this tool?
No, you do not need an X (Twitter) account or API key to use this tool.
What export formats are available for the data?
How fresh is the data collected by this tool?
Can I schedule runs to collect data continuously?
Is there a limit to how much data I can collect?
How does the "Split Mode" feature work?
Can I search for tweets from specific users or mentioning specific users?
How reliable is the data collection?
Is this tool suitable for client projects?
What if I only want tweets with a certain level of engagement?
How do I ensure I'm not collecting duplicate tweets across multiple runs?