Expert Tutorial

How to Use Tweet Scraper V2 to Extract Data (2026 Guide)

A step-by-step guide on how to use Tweet Scraper V2 to extract data and export it to Excel or CSV without coding.

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What is Tweet Scraper V2?

Lightning-fast Twitter/X scraper. Extract tweets, profiles, and search results with advanced filters. 30-80 tweets per second.

Tweet Scraper V2 is built for speed — tens of tweets per second — across keyword searches, user timelines, lists, and conversation threads, with text, timestamps, authors, follower counts, like/reply/repost counts, hashtags, mentions, and links. Social-listening teams use it for event monitoring, crisis detection, and narrative tracking at a volume the official API pricing makes painful. Advanced search operators and date filters are supported, and runs fan out across Apify's cloud to sustain throughput. Export to JSONL or CSV to stream into dashboards, brief comms teams with cited volume spikes, and archive discourse around launches and incidents.

Key Features

  • 30-80 tweets per second extraction
  • Advanced search query support
  • 100K+ tweets per query possible
  • Profile and list scraping
  • Query builder wizard included

How to Extract Data (Step by Step)

Extracting data using the Tweet Scraper V2 is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the target URLs into the Tweet Scraper V2 configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.
Tweet Scraper V2

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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]