GetDayTrends – Worldwide Twitter Trends Scraper

GetDayTrends – Worldwide Twitter Trends Scraper

GetDayTrends – Worldwide Twitter Trends Scraper is an Apify actor that fetches public trend snapshots from getdaytrends.com and saves them to your dataset in real time. It solves the pain of manual checking by automating a global Twitter/X trends view with flexible time windows and country-level filters — a reliable Twitter trending topics scraper and Twitter trends API alternative for marketers, developers, analysts, and researchers. With proxy resilience, retries, and country support built in, this global Twitter trends tracker enables scalable, automated monitoring you can export and analyze anywhere. 🚀

What data / output can you get?

This actor pushes structured, time-stamped records to the Apify dataset as it scrapes. Each row reflects a trend observed at a specific time period.

Data type	Description	Example value
time	UTC timestamp when the item was captured	2025-09-22T05:53:04.664851Z
timePeriod	The period you requested (Live, N hours ago, Yesterday, Week Ago, Month Ago, Year Ago, Day 3, or Custom for startUrls)	Live
trend	Trend name/hashtag extracted from the page	#Navratri2025
volume	Tweet volume text as shown on the site (may be empty if not present)	65.3K tweets

Notes:

• Rows are saved live as they’re parsed, enabling real-time Twitter trends monitoring tool workflows and a worldwide Twitter trends dashboard.
• In addition to the dataset, the actor stores a run summary in the key‑value store as RUN_SUMMARY.json (includes runStartedAt, proxyUsed, and aggregated stats for transparency and auditing).
• You can export Twitter trends to CSV, JSON, or Excel directly from the Apify dataset UI.

Key features

• 🧭 Flexible time windows (live + history) Choose Live, 1–23 hours ago, Yesterday/Day 2, Week Ago, Month Ago, Year Ago, or Day 3. Ideal to monitor daily Twitter trends or compare snapshots across time.

• 🌍 Country-specific or worldwide coverage Track Twitter trends by location using the country input (e.g., US, GB, IN, JP, etc.) or leave empty for global aggregation — a practical Twitter trends by country scraper.

• 🔁 Resilient fetching with retries Built-in HTTP retries with exponential backoff ensure stable collection from getdaytrends.com even during transient issues.

• 🛡️ Smart proxy fallback If your selected proxy is rejected, the actor automatically falls back to Apify RESIDENTIAL. Works with custom proxy URLs or Apify Proxy groups.

• 🧩 Developer-friendly custom URLs Provide startUrls with templating placeholders {today}, {yesterday}, {day3} for complete control — perfect for power users and a robust GetDayTrends alternative for bespoke runs.

• 💾 Row-by-row dataset saving Items are pushed as they’re parsed, so you can stream results into pipelines and dashboards for real-time insights.

• 📤 Export-ready on Apify Download results in CSV/JSON/Excel and connect to automation platforms — a practical X trending topics scraper for internal reporting.

• 🔌 API-first workflows Trigger runs via API, tune timeouts/retries, and integrate into ETL/ELT stacks as your Twitter trends API alternative.

How to use GetDayTrends – step by step

1. Log in to Apify
   Create or sign in to your Apify account.

2. Open the actor
   Find “Twitter-Trends-Scraper” by scraply on the Apify Store.

3. Pick your time periods
   Toggle Live and/or any of the historical flags (hour1–hour23, Yesterday/Day 2, Week Ago, Month Ago, Year Ago, Day 3).

4. Select a country (optional)
   Set the Country input (e.g., US, GB, IN) for location-specific results, or leave it empty for worldwide Twitter trends.

5. Configure proxy (optional)
   Use the Proxy configuration editor. If a selected proxy is rejected, the actor automatically falls back to Apify RESIDENTIAL.

6. Add custom URLs (advanced, optional)
   Supply startUrls with optional date placeholders like {today}, {yesterday}, {day3} to scrape exact pages and treat them as “Custom” timePeriod.

7. Run the actor
   Start the run. The scraper will fetch getdaytrends.com, parse trend rows, and push items to the dataset live with retries and proxy handling.

8. Download results
   Open the run’s Dataset and export to CSV, JSON, or Excel for downstream analysis and reporting.

Pro tip: Combine Live with hour-based flags to build a worldwide Twitter trends dashboard and automate recurring runs via the Apify API or scheduler for continuous monitoring.

Use cases

Use case name	Description
Marketing & content planning	Identify trending hashtags/topics to inform campaigns and publish at the right moment across regions.
Social listening by country	Track Twitter trends by location to compare regions and localize messaging effectively.
Competitor & influencer watch	Monitor what competitors and influencers amplify daily to spot opportunities and threats.
Newsroom & editorial planning	Prioritize stories based on global/US/GB/IN trend momentum and tweet volume patterns.
Academic & media research	Analyze cross-cultural attention shifts with reproducible, time-stamped snapshots.
Product & growth analytics	Correlate spikes in branded mentions with feature releases or announcements.
ETL/API pipelines	Use as a Twitter trends API alternative in data engineering workflows to populate internal dashboards.

Why choose GetDayTrends – Worldwide Twitter Trends Scraper?

A precision-focused, automation-ready Twitter trending topics scraper that’s built for reliability and scale.

• ✅ Accurate, time-stamped records: Clean, structured fields (time, timePeriod, trend, volume) pushed live for immediate use.
• 🌐 Global + country coverage: Switch between worldwide views and specific countries without code changes.
• ⏱️ Flexible history flags: Go beyond “now” with hour-by-hour, daily, weekly, monthly, and yearly snapshots.
• 🧪 Resilient by design: Retries with exponential backoff and proxy fallback to Apify RESIDENTIAL when rejected.
• 🧰 Developer-friendly: Custom startUrls with {today}/{yesterday}/{day3} templating plus requestTimeoutSecs and maxRetries controls.
• 🔄 Export & integrate: Dataset results ready for CSV/JSON/Excel exports and pipeline ingestion.
• 🔒 No login required: Scrapes publicly available data from getdaytrends.com — safer than unstable browser extensions.

In short, it’s a robust global Twitter trends tracker that outperforms brittle, manual alternatives with automation and production-ready reliability.

Is it legal / ethical to use this scraper?

Yes, when used responsibly. This actor collects publicly available information from getdaytrends.com and does not access private or authenticated Twitter/X data.

Guidelines for compliant use:

• Only use data that’s publicly available.
• Avoid scraping private profiles or protected resources.
• Respect the source website’s terms and applicable data protection laws (e.g., GDPR, CCPA).
• Use results for lawful purposes and verify requirements with your legal team for edge cases.

Input parameters & output format

Example JSON input

{
  "live": true,
  "hour1": true,
  "yesterday": true,
  "weekAgo": false,
  "monthAgo": false,
  "yearAgo": false,
  "day2": false,
  "day3": false,
  "country": "US",
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  },
  "startUrls": [
    { "url": "https://getdaytrends.com/{today}/24/" },
    { "url": "https://getdaytrends.com/united-states/3/" }
  ],
  "requestTimeoutSecs": 30,
  "maxRetries": 3
}

Parameters (schema-defined)

• live (boolean) — Scrape the current live trends. Default: none, Required: no
• hour1 (boolean) — Scrape trends from 1 hour ago. Default: none, Required: no
• hour2 (boolean) — Scrape trends from 2 hours ago. Default: none, Required: no
• hour3 (boolean) — Scrape trends from 3 hours ago. Default: none, Required: no
• hour4 (boolean) — Scrape trends from 4 hours ago. Default: none, Required: no
• hour5 (boolean) — Scrape trends from 5 hours ago. Default: none, Required: no
• hour6 (boolean) — Scrape trends from 6 hours ago. Default: none, Required: no
• hour7 (boolean) — Scrape trends from 7 hours ago. Default: none, Required: no
• hour8 (boolean) — Scrape trends from 8 hours ago. Default: none, Required: no
• hour9 (boolean) — Scrape trends from 9 hours ago. Default: none, Required: no
• hour10 (boolean) — Scrape trends from 10 hours ago. Default: none, Required: no
• hour11 (boolean) — Scrape trends from 11 hours ago. Default: none, Required: no
• hour12 (boolean) — Scrape trends from 12 hours ago. Default: none, Required: no
• hour13 (boolean) — Scrape trends from 13 hours ago. Default: none, Required: no
• hour14 (boolean) — Scrape trends from 14 hours ago. Default: none, Required: no
• hour15 (boolean) — Scrape trends from 15 hours ago. Default: none, Required: no
• hour16 (boolean) — Scrape trends from 16 hours ago. Default: none, Required: no
• hour17 (boolean) — Scrape trends from 17 hours ago. Default: none, Required: no
• hour18 (boolean) — Scrape trends from 18 hours ago. Default: none, Required: no
• hour19 (boolean) — Scrape trends from 19 hours ago. Default: none, Required: no
• hour20 (boolean) — Scrape trends from 20 hours ago. Default: none, Required: no
• hour21 (boolean) — Scrape trends from 21 hours ago. Default: none, Required: no
• hour22 (boolean) — Scrape trends from 22 hours ago. Default: none, Required: no
• hour23 (boolean) — Scrape trends from 23 hours ago. Default: none, Required: no
• yesterday (boolean) — Scrape yesterday's full-day summary. Default: none, Required: no
• weekAgo (boolean) — Scrape trends from 1 week ago. Default: none, Required: no
• monthAgo (boolean) — Scrape trends from 1 month ago. Default: none, Required: no
• yearAgo (boolean) — Scrape trends from 1 year ago. Default: none, Required: no
• day2 (boolean) — Scrape yesterday's full-day summary (legacy option, same as 'yesterday'). Default: none, Required: no
• day3 (boolean) — Scrape the summary from 2 days ago. Default: none, Required: no
• country (string) — Select a country to scrape country-specific Twitter trends. Leave empty for worldwide trends. Default: "" (Worldwide), Required: no
• proxy (object) — Proxy configuration. Defaults to no proxy. If the selected proxy is rejected, the actor falls back to Apify RESIDENTIAL automatically. Required: no

Additional inputs accepted by the actor (read by code)

• startUrls (array of objects) — Custom pages to scrape; each object should include “url”. Placeholders {today}, {yesterday}, {day3} are supported.
• requestTimeoutSecs (number) — Timeout per HTTP request in seconds. Default used by code if not provided: 30.
• maxRetries (number) — Max HTTP retry attempts on failure. Default used by code if not provided: 3.

Example dataset 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"
  }
]

Also saved to key‑value store (RUN_SUMMARY.json)

{
  "runStartedAt": "2025-09-22T05:53:04.664851Z",
  "proxyUsed": "APIFY_PROXY(auto)",
  "stats": {
    "total_items": 42,
    "per_timePeriod": {
      "Live": 20,
      "Yesterday": 22
    },
    "failed_urls": []
  }
}

FAQ

Is there a free trial or free tier?

Yes. The actor listing includes a trial allocation on Apify (120 trial minutes), so you can test runs before subscribing. For ongoing usage, the current listing shows a flat monthly price.

Can this scrape trends by country and worldwide?

Yes. Set the Country input for location-specific pages (e.g., US, GB, IN), or leave it empty to scrape worldwide. It’s built to track Twitter trends by location or global snapshots.

Does it work as a Twitter trends API alternative?

Yes. This actor provides structured, exportable data and can be called via the Apify API, making it a practical Twitter trends API alternative for pipelines and dashboards.

How far back in time can I fetch?

You can capture Live plus 1–23 hours ago, Yesterday/Day 2, Week Ago, Month Ago, Year Ago, and Day 3. You can also add startUrls for exact pages using {today}, {yesterday}, or {day3} placeholders.

Do I need to log in to Twitter/X?

No. The scraper collects publicly available trend data from getdaytrends.com and does not require a Twitter/X login.

How do I export Twitter trending topics?

After the run, open the Dataset and export to CSV, JSON, or Excel. This makes it easy to download Twitter trending topics and plug them into BI tools.

How reliable is the scraping at scale?

The actor implements retries with exponential backoff and a proxy fallback to Apify RESIDENTIAL if your chosen proxy is rejected. Items are saved row-by-row for resilience in long runs.

Can developers customize requests and limits?

Yes. You can provide startUrls, control requestTimeoutSecs and maxRetries, and configure the proxy object (useApifyProxy, apifyProxyGroups, apifyProxyCountry, or proxyUrls) to fit your environment.

Closing thoughts

This actor is built to automate global and country-level Twitter/X trend collection from getdaytrends.com at scale. With flexible time windows, resilient proxy handling, and live dataset saving, it’s ideal for marketers, developers, analysts, and researchers who need dependable, export-ready trend data. Use it as your global Twitter trends tracker, integrate via the Apify API, and start building real-time monitoring and historical analyses today.