Twitter Trends Scraper

What is a Twitter Trends Scraper?

A Twitter Trends Scraper is a tool that collects trending topics, hashtags, and tweet volumes in real time. Instead of manually refreshing Twitter to see what’s popular, scrapers automate the process and deliver structured data through a twitter trends scraper tool, twitter trends scraping service, or twitter trends scraper online platform.

Unlike manual tracking, a twitter scraper, x twitter scraper, or apify twitter scraper enables automated extraction at scale. Businesses often rely on a twitter scraping tool, twitter scraping platform, or twitter scraping service to automate twitter trends scraping and build reliable datasets. This approach supports bulk twitter scraping, twitter data scraping automation, and real time twitter scraping without constant manual checks.

Advanced setups also allow automated twitter scraping, twitter bulk data collection, and scalable twitter scraping solution workflows for marketing intelligence. Whether using a twitter trend scraper, twitter trending topics scraper, or x trends scraper, automation ensures consistent data delivery and historical storage.

Manual tracking is time-consuming and inconsistent. In contrast, a twitter trends scraping tool or twitter scraping API alternative ensures accuracy, scale, and long-term analysis. This makes it easier for marketers, researchers, and analysts to monitor conversations, spot emerging trends early, and base decisions on reliable data collected via a twitter data extractor or tweet scraper.

🛠️ Support and Feedback

• 🐞 Bug reports: Open a ticket in the repository Issues section
• ✨ Custom solutions or feature requests: Contact our team 📧 Email: dev.scraperengine@gmail.com

What Twitter Trends Data Can You Extract?

A twitter trends scraper tool or twitter scraping platform can extract multiple structured data points for analytics, automation, and reporting.

Data Point	Description
Trending Topic/Hashtag	Extract top hashtags and keywords using a twitter trending hashtags scraper or twitter trending topics scraper for global and local markets.
Tweet Volume	Measure popularity with live metrics, track Twitter trend count, and automate collection via real time twitter scraping workflows.
Country/Region	Track regional insights, including Twitter USA traffic and international data using a twitter trends scraper by location or twitter bulk data collection system.
Time Period	Monitor trends in snapshots such as live, hourly, or daily history through automated twitter scraping or scheduled scraping jobs.
Engagement Signals	Extract retweets, likes, mentions, and interaction metrics using a tweet scraper or advanced twitter data extractor.
Follower Insights	Collect basic audience metrics through Twitter followers scraping for competitor and audience analysis.

Key Features of Twitter Trends Scraper

Real-Time & Historical Tracking

Capture live trending topics using a real time twitter scraping tool or twitter trends scraper tool, and access historical data from past hours or days through automated twitter scraping workflows. This enables both instant monitoring and long-term trend analysis using a twitter trend scraper or twitter trending topics scraper.

Proxy Support for Stability

Handle large-scale extraction securely with built-in proxy rotation in a twitter scraping platform or twitter scraping service. This ensures stable bulk twitter scraping, avoids rate limits, and supports scalable data collection through a twitter bulk data collection system or scalable twitter scraping solution.

Multiple Export Formats

Download structured results in CSV, JSON, or Excel using a twitter data extractor or twitter scraping tool. Export-ready formats simplify integration into dashboards, BI systems, or reporting pipelines powered by a twitter trends scraping tool.

Developer-Friendly

Works seamlessly with twitter scraper Python scripts, twitter scraper GitHub repositories, CLI tools, and API integrations. Developers can build custom workflows using a tweet scraper, twitter scraping API alternative, or x twitter scraper for advanced automation.

Ready-to-Use Automation

Supports platforms like Apify Twitter Trends Scraper, enabling no-code twitter scraping, twitter scraping automation, and scheduled twitter data scraping automation without complex setup. Ideal for marketers and analysts needing consistent trend monitoring.

How to Use Twitter Trends Scraper

Using a twitter trends scraper tool is straightforward whether you choose a ready-made twitter trends scraping service like Apify Twitter Trends Scraper or a custom build using twitter scraper Python scripts.

Here is the step-by-step process:

---

Create an Account or Install Script

Sign up on Apify to access the Apify Twitter Trends Scraper, or deploy your own twitter scraping tool using a twitter scraper GitHub repository. Developers can also configure an x trends scraper for broader platform compatibility.

---

Set Input Parameters

Choose the target location, worldwide or specific countries, using a twitter trends scraper by location to track regional conversations such as Twitter USA traffic.

Define the time period such as live, hourly, or daily snapshots through real time twitter scraping or scheduled automated twitter scraping jobs.

---

Run the Scraper

Start the execution using a twitter trend scraper or twitter scraping platform, and the system will scrape Twitter trends automatically.

The extracted dataset typically includes trending topics, tweet volumes, engagement signals, and metadata collected via a twitter data extractor or tweet scraper.

---

Download or Export Results

Export data in CSV, Excel, or JSON format using a twitter scraping service or twitter trends scraping tool.

Integrate directly into dashboards, BI systems, or research pipelines powered by twitter bulk data collection processes.

---

Optional: Automate with Workflows

Use Twitter data collection Python scripts or a twitter scraping automation platform to schedule recurring scraping tasks.

You can build custom alerts, analytics dashboards, or brand monitoring systems with a scalable twitter scraping solution that supports bulk twitter scraping and long-term storage.

Input

{
    "day2": false,
    "day3": false,
    "hour1": false,
    "hour12": false,
    "hour24": false,
    "hour3": false,
    "hour6": false,
    "live": false,
    "startUrls": [
        {
            "url": "https://getdaytrends.com/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-22/1/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-22/3/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-22/6/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-22/12/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-22/24/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-21/24/",
            "method": "GET"
        },
        {
            "url": "https://getdaytrends.com/2025-09-20/24/",
            "method": "GET"
        }
    ]
}

Output

[
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Guana",
    "volume": "65.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "#Navratri2025",
    "volume": "23.8K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Aldo",
    "volume": "102.6K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "#LCDFMX3",
    "volume": "11.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "#LaCasaDeLosFamososMx3",
    "volume": "35.2K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Russell Wilson",
    "volume": "19.4K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Giants",
    "volume": "100.8K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Zayne",
    "volume": "45.8K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "#नवरात्रि",
    "volume": "18.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Dart",
    "volume": "15.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Chiefs",
    "volume": "78.7K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "#新参者",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Aarón",
    "volume": "119.9K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Yetus",
    "volume": "11.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Payday",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "第2問の解答",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Mahomes",
    "volume": "28.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "チャンミ",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Erika",
    "volume": "576.2K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "エイトザタラソ",
    "volume": "15.1K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Daboll",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Toby",
    "volume": "92.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Thornton",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Indonesia Untuk Palestina",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Gentle Acne Facial Wash",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "子ども食堂",
    "volume": "48.9K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "forgiveness",
    "volume": "60.4K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Tylenol",
    "volume": "19.2K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "महाराजा अग्रसेन",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Nabers",
    "volume": "10.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "レイ先生",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Shakti Upasana",
    "volume": "17.6K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Vrat Upwas",
    "volume": "17.4K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Marchesin",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "NINESTAR IS A LOST CAUSE",
    "volume": "18.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "セレクト",
    "volume": "12.6K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "食べ物・飲み物",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "私の奴隷",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "JMIBARRA ON MYXNOW",
    "volume": "11.0K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "प्रथम स्वरूप",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Collinsworth",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "जगत जननी",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "交通安全ハット",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "スタバとジェラピケのコラボ",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "国勢調査",
    "volume": "31.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "ガッチさん",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "May Maa Durga",
    "volume": "14.3K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Butker",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Cam Skattebo",
    "volume": "Under 10K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Custom",
    "trend": "Palacios",
    "volume": "Under 10K tweets"
  }
]

🔗 What are other Twitter (X) scraping tools?

If you want to scrape specific Twitter (X) data, you can use any of the dedicated scrapers below for faster and more targeted results.
Just enter profile URLs, usernames, post links, keywords, or hashtags and start scraping instantly.

🔁 Twitter User Following Scraper	🐦 Twitter (X.com) Tweets & Profiles Scraper
👤 Twitter Profile Scraper	📝 Twitter/X Posts Scraper
💬 Twitter (X) Tweets Scraper	🔎 X (Twitter) Posts Search
📧 Twitter Email Scraper	📞 Twitter Phone Number Scraper
📨 Twitter Profile Email Scraper	☎️ Twitter Profile Phone Number Scraper
📩 X Twitter Email Scraper	📱 X Twitter Phone Number Scraper

🎯 Use Cases

Marketing & Content Strategy

Use a twitter trends scraper tool or twitter trending hashtags scraper to discover viral topics and high-performing conversations. Marketers rely on real time twitter scraping and twitter bulk data collection to shape campaigns, validate ideas, and build content calendars using insights from a twitter scraper or twitter data extractor.

---

Track Twitter Website Traffic Trends

A twitter trend scraper or twitter scraping platform helps measure how trending discussions correlate with spikes in Twitter website traffic and engagement. With twitter data scraping automation, businesses can monitor global or regional traffic patterns using a twitter trends scraper by location or x trends scraper.

---

Monitor Competitors & Influencers

Brands use a twitter scraping service or tweet scraper to track what influencers and competitors amplify. Through automated twitter scraping and bulk twitter scraping, you can identify content gaps, trending themes, and engagement patterns using a twitter trends scraping tool or twitter scraping automation platform.

---

Research Cultural Events & Audience Behavior

Researchers leverage a twitter trending topics scraper or twitter scraping API alternative to analyze how global or local events trend over time. Using a scalable twitter scraping solution, teams can capture structured datasets for sentiment analysis, regional comparisons, and behavioral studies.

---

Academic & Media Studies

Journalists and academics use a twitter data extractor, twitter scraper Python workflows, or platforms like Apify Twitter Trends Scraper to collect structured data at scale. With twitter bulk data collection and scheduled twitter scraping automation, researchers can analyze digital discourse across regions and timeframes.

How Many Results Can You Scrape?

A Twitter Trends Scraper can capture a wide range of trending data in a single run.

• From Top 10 → 50+ Trends
  Depending on setup, you can extract the top 10, 25, or 50+ trending topics per country.

• Global + Country-Level Coverage
  Trends can be collected worldwide or filtered by region, such as analyzing Twitter USA traffic for U.S.-specific insights.

• Historical Snapshots with Automation
  By scheduling runs, you can track how a trend evolved hourly, daily, or over multiple days for deeper analysis

How Much Will Scraping Twitter Trends Cost?

When it comes to scraping Twitter trends, you’ve got both free and paid options depending on your goals and scale.

Free Options

• You can try a twitter trends scraper free version built by the community.

• GitHub scripts and twitter scraper Python projects give you DIY flexibility without upfront cost.

• Downsides: requires setup, proxies, maintenance, and scripts may break when Twitter updates its structure.

Paid Options

• Tools like the Apify Twitter Scraper or other SaaS platforms offer ready-to-use solutions.

• These come with automation, proxy management, and support, saving hours of troubleshooting.

• They’re ideal for scaling beyond small tests—like scraping multiple countries daily.

Pricing Example

• Entry-level SaaS pricing often starts around $5 per month.

• This covers hundreds to thousands of trends, depending on the plan.

• Enterprise or large-scale projects may cost more, but you get speed, stability, and reliable updates.

Is it Legal to Scrape Twitter Trends?

Scraping Twitter trends data falls into a mostly safe area—but with important limits.

• ✅ Public Data Is Allowed
  You can collect hashtags, trend counts, and traffic metrics since they’re visible to all users.

• ❌ Private Data Is Off-Limits
  Anything involving private user info, DMs, or protected accounts goes against the Twitter scraping policy and is not permitted.

• ⚖️ Follow Platform Rules
  Always respect Twitter’s Terms of Service, copyright, and rate limits when scraping at scale.

Does Twitter Allow Scraping?

Twitter does not officially endorse scraping, but it provides a Trends API for developers. If you scrape manually or with tools, stay compliant by sticking to public, non-sensitive data only.

FAQ – Twitter Trends Scraper

What is Twitter Trends Scraper?

A twitter trends scraper tool is a twitter scraping tool that collects real-time and historical trending hashtags, topics, and tweet volumes from Twitter or X globally or by country. Businesses often use a twitter trend scraper, twitter trending topics scraper, or x trends scraper for structured twitter bulk data collection and analysis.

---

How to scrape Twitter trends free?

You can use a twitter trends scraper free script from GitHub or community-built twitter scraper Python tools. Many developers deploy a twitter scraper GitHub repository as a DIY twitter scraping API alternative. These options work but require maintenance, proxy setup, and monitoring to support stable automated twitter scraping.

---

Can I use twitter scraper Python scripts?

Yes. Many developers use twitter scraper Python or Twitter data collection Python scripts to scrape trends, hashtags, and traffic metrics. These scripts function as a customizable tweet scraper or twitter data extractor, enabling flexible twitter data scraping automation, but they require technical expertise.

---

What’s the difference between GitHub tools and Apify Twitter Scraper?

GitHub tools:
Free, customizable twitter scraping tools that support DIY bulk twitter scraping, but they may break when Twitter updates its structure. You manage proxies, scaling, and maintenance yourself.

Apify Twitter Scraper:
A paid Apify Twitter Trends Scraper and twitter scraping service that supports no-code twitter scraping, built-in proxy rotation, and scalable twitter scraping automation. It is designed for stable real time twitter scraping and easier expansion.

---

Is it safe for research and data analysis?

Yes. Using a twitter trends scraping tool or twitter scraping platform to collect public trend data is generally safe for academic, media, and marketing research. Ensure your twitter data extractor only gathers publicly available hashtags, topics, and traffic metrics.

---

Does Twitter allow scraping of followers or private data?

No. Twitter’s policies restrict scraping private information, DMs, or protected accounts. Avoid Twitter followers scraping of private data and focus on public trends through a compliant twitter scraping service or twitter trends scraper tool.