GetDayTrends – Worldwide Twitter Trends Scraper

GetDayTrends – Worldwide Twitter Trends Scraper

GetDayTrends – Worldwide Twitter Trends Scraper collects publicly visible trending topics and tweet volumes from getdaytrends.com, letting you track Twitter/X trends globally or by country in near real time. As a GetDayTrends Twitter trends scraper and worldwide Twitter trending topics scraper, it solves the hassle of manual monitoring with automated, structured datasets designed for marketers, developers, analysts, and researchers. Use it to track Twitter trends worldwide, build a Twitter trends dashboard by location, and scrape Twitter trending topics without API access at scale.

What data / output can you get?

This actor pushes structured trend rows to the Apify dataset as they’re parsed.

Data type	Description	Example value
time	UTC timestamp when the item was extracted (ISO 8601 with Z)	2025-09-22T05:53:04.664851Z
timePeriod	Time window for the scrape (e.g., Live, 1 hour ago, Yesterday, Week Ago, Month Ago, Year Ago, Day 3, Custom)	“Live”, “Yesterday”, “3 hours ago”, “Custom”
trend	Trending topic or hashtag	“#Navratri2025”, “Giants”, “Mahomes”
volume	Tweet volume text captured from the page	“65.3K tweets”, “Under 10K tweets”, “”

Bonus output: the run also saves a summary file to the key‑value store (RUN_SUMMARY.json) with high-level metadata:

• runStartedAt
• proxyUsed
• stats.total_items
• stats.per_timePeriod
• stats.failed_urls

You can download global Twitter trends data in CSV, JSON, or Excel from the Apify dataset to power a Twitter trend analysis and monitoring tool or X trending topics scraper workflow.

Key features

• 🚀 Live, row-by-row dataset saving
  Pushes each trend record to the dataset as it’s parsed for real-time Twitter trending hashtags tool use cases.

• 🔁 Resilient fetching with retries
  Built-in HTTP retries with exponential backoff improve stability versus unstable scrapers and extensions.

• 🛡️ Smart proxy handling with automatic fallback
  Uses your proxy configuration and, if rejected, falls back to Apify RESIDENTIAL automatically for uninterrupted runs.

• 🌍 Worldwide and country-level coverage
  Track Twitter trends by country scraper mode with a single “Country” input (leave empty for worldwide). Supported codes include US, GB, IN, JP, BR, MX, DE, FR, IT, ES, and many more from the schema.

• ⏱️ Flexible time snapshots
  Choose Live, 1–23 hours ago, Yesterday, Week Ago, Month Ago, Year Ago, or Day 3 to compare trend evolution over time.

• 🧭 Robust parsing
  Multiple HTML selectors ensure reliable extraction of trend names and volumes across page layouts.

• 📤 Analysis-ready exports
  Download datasets as JSON, CSV, or Excel to feed BI tools, dashboards, and pipelines — the best Twitter trends scraper tool for data teams.

• 🧰 Developer-friendly & API-ready
  Clean JSON fields (time, timePeriod, trend, volume) make this a practical Twitter trending topics API alternative without managing Twitter/X credentials.

How to use GetDayTrends – Worldwide Twitter Trends Scraper - step by step

1. Sign in to Apify
   Log in to your Apify account to access the actor.

2. Open the actor
   Find “GetDayTrends – Worldwide Twitter Trends Scraper” (name: Twitter-Trends-Scraper) in the Apify Store.

3. Configure time period flags
   Toggle one or more booleans such as Live, hour1–hour23, Yesterday, Week Ago, Month Ago, Year Ago, or Day 3 to select snapshots you want to scrape.

4. Choose location (optional)
   Set the “Country” input to focus on a specific country or leave it empty for worldwide trends.

5. Configure proxy (optional)
   In “Proxy configuration,” you can enable Apify Proxy or provide your own; if the selected proxy is rejected, the actor automatically falls back to Apify RESIDENTIAL.

6. Run the actor
   Start the run. The scraper will fetch each selected URL, parse trends, and save items to the dataset live. Logs will show proxy status and per-timePeriod counts.

7. Download results
   Go to the run’s Dataset tab and export data in JSON, CSV, or Excel for your reports, pipelines, or dashboards.

Pro tip: Combine multiple time flags (e.g., Live + hour3 + Yesterday) with a specific “Country” to build a Twitter trends dashboard by location and compare changes over time.

Use cases

Use case name	Description
Marketing & content planning	Identify trending hashtags/topics to craft timely campaigns and content that resonate with your audience.
Social listening by location	Track Twitter trends worldwide or drill into a single country to localize messaging and measure impact.
Competitor & influencer monitoring	Monitor what topics competitors and influencers amplify to spot opportunities or gaps.
Analytics & dashboards	Export structured data to CSV/JSON/Excel and power a real-time Twitter trends dashboard by location.
Academic & media research	Collect consistent, historical snapshots for sociology, journalism, or media trend analysis.
Developer pipelines	Use the clean dataset as a Twitter trending topics API alternative for ETL and automated analytics.

Why choose GetDayTrends – Worldwide Twitter Trends Scraper?

A production-ready Twitter trends data extractor built for precision and reliability.

• 🎯 Accurate parsing with multi-selector fallback for consistent results across layout variations.
• 🌐 Worldwide and by-country coverage from a single “Country” input — ideal to track Twitter trends worldwide.
• 🔄 Built-in retries and proxy fallback keep runs stable at scale, unlike brittle browser extensions.
• 🧪 Clean JSON fields make it easy to integrate as a Twitter trending topics API alternative without API keys.
• 📦 Flexible exports (CSV, JSON, Excel) for fast analysis and downstream workflows.
• 🔐 Public web data only — scrape Twitter trending topics without API or login.
• ⚙️ Designed for automation on Apify infrastructure to support recurring, reliable runs.

In short: a robust, automation-friendly GetDayTrends alternative to manual monitoring and unstable tools.

Is it legal / ethical to use GetDayTrends – Worldwide Twitter Trends Scraper?

Yes — when used responsibly. This actor scrapes publicly available trend pages on getdaytrends.com and does not access private or authenticated data.

Guidelines for compliant use:

• Only collect public information.
• Avoid scraping private profiles or any non-public endpoints.
• Respect applicable terms of service and data protection laws (e.g., GDPR, CCPA).
• Use results for legitimate analytics, research, or reporting purposes.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

{
  "live": true,
  "hour1": false,
  "yesterday": true,
  "weekAgo": false,
  "monthAgo": false,
  "yearAgo": false,
  "day3": false,
  "country": "US",
  "proxy": {
    "useApifyProxy": true
  }
}

Parameters

Parameter	Type	Description	Default	Required
live	boolean	Scrape the current live trends.	Not specified	No
hour1	boolean	Scrape trends from 1 hour ago.	Not specified	No
hour2	boolean	Scrape trends from 2 hours ago.	Not specified	No
hour3	boolean	Scrape trends from 3 hours ago.	Not specified	No
hour4	boolean	Scrape trends from 4 hours ago.	Not specified	No
hour5	boolean	Scrape trends from 5 hours ago.	Not specified	No
hour6	boolean	Scrape trends from 6 hours ago.	Not specified	No
hour7	boolean	Scrape trends from 7 hours ago.	Not specified	No
hour8	boolean	Scrape trends from 8 hours ago.	Not specified	No
hour9	boolean	Scrape trends from 9 hours ago.	Not specified	No
hour10	boolean	Scrape trends from 10 hours ago.	Not specified	No
hour11	boolean	Scrape trends from 11 hours ago.	Not specified	No
hour12	boolean	Scrape trends from 12 hours ago.	Not specified	No
hour13	boolean	Scrape trends from 13 hours ago.	Not specified	No
hour14	boolean	Scrape trends from 14 hours ago.	Not specified	No
hour15	boolean	Scrape trends from 15 hours ago.	Not specified	No
hour16	boolean	Scrape trends from 16 hours ago.	Not specified	No
hour17	boolean	Scrape trends from 17 hours ago.	Not specified	No
hour18	boolean	Scrape trends from 18 hours ago.	Not specified	No
hour19	boolean	Scrape trends from 19 hours ago.	Not specified	No
hour20	boolean	Scrape trends from 20 hours ago.	Not specified	No
hour21	boolean	Scrape trends from 21 hours ago.	Not specified	No
hour22	boolean	Scrape trends from 22 hours ago.	Not specified	No
hour23	boolean	Scrape trends from 23 hours ago.	Not specified	No
yesterday	boolean	Scrape yesterday's full-day summary.	Not specified	No
weekAgo	boolean	Scrape trends from 1 week ago.	Not specified	No
monthAgo	boolean	Scrape trends from 1 month ago.	Not specified	No
yearAgo	boolean	Scrape trends from 1 year ago.	Not specified	No
day2	boolean	Scrape yesterday's full-day summary (legacy option, same as 'yesterday').	Not specified	No
day3	boolean	Scrape the summary from 2 days ago.	Not specified	No
country	string	Select a country to scrape country-specific Twitter trends. Leave empty for worldwide trends.	"" (Worldwide (Default))	No
proxy	object	Proxy configuration. Defaults to no proxy. If the selected proxy is rejected, the actor falls back to Apify RESIDENTIAL automatically.	No proxy	No

Example JSON output (dataset items)

[
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Live",
    "trend": "Giants",
    "volume": "100.8K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "Yesterday",
    "trend": "#Navratri2025",
    "volume": "23.8K tweets"
  },
  {
    "time": "2025-09-22T05:53:04.664851Z",
    "timePeriod": "3 hours ago",
    "trend": "Mahomes",
    "volume": "28.0K tweets"
  }
]

Notes:

• volume may be an empty string when the page doesn’t show a volume for a trend.
• A run summary is saved to the key‑value store as RUN_SUMMARY.json:

Example RUN_SUMMARY.json

{
  "runStartedAt": "2025-09-22T05:53:04.664851Z",
  "proxyUsed": "APIFY_PROXY(auto)",
  "stats": {
    "total_items": 120,
    "per_timePeriod": {
      "Live": 50,
      "Yesterday": 50,
      "3 hours ago": 20
    },
    "failed_urls": []
  }
}

FAQ

Do I need a Twitter/X API key to use this?

✅ No. This is a Twitter trending topics API alternative that scrapes publicly available trend pages on getdaytrends.com. You can scrape Twitter trending topics without API keys or login.

Can it track worldwide and country-specific trends?

✅ Yes. Leave “Country” empty for worldwide coverage or choose a specific country from the dropdown to run a Twitter trends by country scraper for localized insights.

Which time ranges are supported?

You can run Live, 1–23 hours ago, Yesterday (also Day 2 legacy), Week Ago, Month Ago, Year Ago, and Day 3 (2 days ago). Combining multiple flags helps you build a full Twitter trend analysis and monitoring tool.

What fields are in the output?

Each dataset item contains time, timePeriod, trend, and volume. This clean schema makes it easy to download global Twitter trends data and integrate into analytics pipelines.

How does proxy fallback work?

If your chosen proxy is rejected, the actor automatically falls back to Apify RESIDENTIAL. This increases reliability compared to a basic GetDayTrends alternative without smart proxy handling.

Is this a free Twitter trends scraper?

You can export results from the Apify dataset in formats like CSV or JSON. Check the actor’s Apify listing for the current plan and trial details. It’s a developer-friendly GetDayTrends Twitter trends scraper with simple setup.

Can developers integrate this into pipelines?

✅ Yes. Results are saved to the Apify dataset in structured JSON, making it straightforward to automate with the Apify API or connect to your ETL. Many use it as an X trending topics scraper feeding dashboards.

What happens if a page layout changes?

The parser uses multiple selectors to keep extraction stable. Combined with retries and proxy handling, this provides a robust, production-ready best Twitter trends scraper tool experience.

Closing CTA / Final thoughts

GetDayTrends – Worldwide Twitter Trends Scraper is built to extract structured, analysis-ready Twitter/X trending topics and volumes at scale. With flexible time snapshots, worldwide or country-level targeting, resilient retries, and proxy fallback, it supports marketers, developers, data analysts, and researchers alike.

Export clean JSON/CSV/Excel datasets for dashboards and automation, or use it as a Twitter trending topics API alternative in your pipeline. Start extracting smarter Twitter trend insights and automate your global monitoring today.