Twitter Trends Scrape

Twitter Trends Scrape

Twitter Trends Scrape is an Apify actor that collects trending topics and hashtags from getdaytrends.com and saves them to a dataset in real time. It solves the hassle of manually refreshing feeds by providing a reliable Twitter trending topics scraper that can scrape Twitter trends without API access and act as a Twitter trends API alternative. Built for marketers, developers, data analysts, and researchers, it scales from quick snapshots to automated, country-specific monitoring.

What data / output can you get?

The actor pushes structured records to the Apify dataset as it scrapes. Here’s exactly what you’ll get:

Data type	Description	Example value
time	UTC timestamp when the item was captured	2026-04-03T05:12:30.123Z
timePeriod	Time snapshot label for the URL being scraped	Live
trend	Trending topic or hashtag text	#LaCasaDeLosFamososMx3
volume	Tweet volume text as shown on the page (may be empty if absent)	35.2K tweets

Bonus metadata saved to the run’s key-value store (file RUN_SUMMARY.json):

Data type	Description	Example value
runStartedAt	UTC timestamp when the run began	2026-04-03T05:12:30.123Z
proxyUsed	Which proxy option was ultimately used	APIFY_RESIDENTIAL_FALLBACK
stats.total_items	Total number of dataset items pushed	250
stats.per_timePeriod	Count of items per timePeriod label	{"Live": 50, "Yesterday": 200}
stats.failed_urls	Array of URL entries that failed after retries	[{"url":"https://…/24/","timePeriod":"…"}]

You can export the Apify dataset to JSON, CSV, or Excel for analysis and reporting.

Key features

• 🔁 Bold reliability: automatic retries with backoff
  Built-in HTTP retry logic handles transient failures gracefully, ensuring stable runs even when sources are slow or flaky.

• 🧲 Live row-by-row dataset saving
  As each page is parsed, items are pushed immediately with Actor.push_data for real-time collection and monitoring.

• 🌍 Country-specific or worldwide coverage
  Select a country code to get Twitter trend data by location, or leave it blank to collect global trends.

• ⏱️ Rich time snapshots (live, hourly, daily, historical)
  Choose Live, 1–23 hours ago, Yesterday, a Week/Month/Year ago, or Day 3 to monitor Twitter trend data extraction over time.

• 🛡️ Smart proxy handling with automatic fallback
  If your selected proxy is rejected, the actor automatically falls back to Apify RESIDENTIAL for maximum resilience.

• 🧰 Developer-friendly and automation-ready
  Integrates seamlessly into pipelines as an X trending topics scraper—great for teams that automate Twitter trends scraping and collect Twitter trending topics at scale.

• 📦 Run summary in KV store
  Each run writes RUN_SUMMARY.json with proxy details and item counts to support monitoring and alerting.

How to use Twitter Trends Scrape - step by step

1. Sign in to Apify
   Create or log in to your Apify account to access the actor.

2. Open the actor in the Apify Console
   Find “Twitter Trends Scrape” and click Try for free.

3. Configure time snapshots
   Enable one or more boolean flags such as Live, 1 hour ago (hour1), Yesterday, Week Ago, Month Ago, Year Ago, or Day 3.

4. Get Twitter trends by location (optional)
   Choose a country code (e.g., US, IN, GB). Leave empty for worldwide.

5. Set proxy configuration (optional)
   Use the Proxy configuration editor. If your chosen proxy fails, the actor will automatically fall back to Apify RESIDENTIAL.

6. Start the run
   Click Start. The actor will scrape Twitter explore trends via getdaytrends.com and push items live to the dataset with resilient retries.

7. Monitor progress
   Watch logs for messages like “✅ Live: 50 items (pushed)” and proxy status lines such as “[PROXY] Using: APIFY_RESIDENTIAL_FALLBACK”.

8. Download results
   Open the run’s Dataset and export to JSON, CSV, or Excel. Check the Key-Value Store for RUN_SUMMARY.json if you need run diagnostics.

Pro Tip: Schedule the actor to monitor Twitter trending topics over time or trigger downstream workflows (e.g., n8n/Make.com) to automate Twitter trends scraping and route data into dashboards.

Use cases

Use case name	Description
Marketing insights from trending topics	Identify and react to emerging hashtags to shape campaigns and content calendars.
Regional trend monitoring for analytics	Track country-level shifts to measure market sentiment and engagement by region.
Competitive and influencer tracking	Observe which topics competitors or influencers amplify to spot opportunities.
Newsroom and media trendwatch	Surface breaking themes for editorial planning and real-time coverage.
Academic research on public discourse	Collect longitudinal data for sociology, media studies, and digital ethnography.
Data engineering pipeline for trends	Feed structured “trend + volume + timestamp” data into data lakes and BI tools.
Alerting on spikes in trend volume	Automate notifications when specific topics exceed tweet-volume thresholds.

Why choose Twitter Trends Scrape?

This actor is built for precision, automation, and resilience—ideal as a Twitter trends API alternative for production workflows.

• ✅ Accurate and structured: Extracts clean fields (time, timePeriod, trend, volume) for straightforward downstream analysis.
• 🌐 Location-aware: Supports worldwide or country-specific snapshots to collect Twitter trending topics by location.
• 📈 Scalable automation: Schedule runs to monitor trend evolution hourly, daily, or historically.
• 💻 Developer access: Apify-native actor, suitable for integration into Python-based pipelines and APIs as an X trending topics scraper.
• 🛡️ Robust infrastructure: Automatic proxy fallback to Apify RESIDENTIAL plus retry logic for dependable execution.
• 💸 Cost-effective vs unstable methods: Avoid brittle browser extensions—get stable, server-side Twitter trend data extraction.
• 🔄 No login or cookies: Scrapes public getdaytrends.com pages—simple, safe, and consistent.

In short, it’s a reliable Twitter trending topics scraper for teams who need consistent, structured outputs at scale.

Is it legal / ethical to use Twitter Trends Scrape?

Yes, when used responsibly. This tool scrapes publicly available trend pages from getdaytrends.com and does not access private or authenticated data.

• Only collect public information exposed on the source site.
• Do not scrape private profiles, protected content, or DMs.
• Follow the source website’s Terms of Service and applicable laws (e.g., GDPR, CCPA).
• Use proxies ethically and respect reasonable request rates.
• Consult your legal team for edge cases or jurisdiction-specific guidance.

Input parameters & output format

Example JSON input

{
  "live": true,
  "hour1": false,
  "hour2": false,
  "hour3": true,
  "hour4": false,
  "hour5": false,
  "hour6": false,
  "hour7": false,
  "hour8": false,
  "hour9": false,
  "hour10": false,
  "hour11": false,
  "hour12": false,
  "hour13": false,
  "hour14": false,
  "hour15": false,
  "hour16": false,
  "hour17": false,
  "hour18": false,
  "hour19": false,
  "hour20": false,
  "hour21": false,
  "hour22": false,
  "hour23": false,
  "yesterday": true,
  "weekAgo": false,
  "monthAgo": false,
  "yearAgo": false,
  "day2": false,
  "day3": false,
  "country": "US",
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

• country supports these codes (leave empty for worldwide): "", DZ, AR, AU, AT, BH, BY, BE, BR, CA, CL, CO, DK, DO, EC, EG, FR, DE, GH, GR, GT, IN, ID, IE, IL, IT, JP, JO, KE, KR, KW, LV, LB, MY, MX, NL, NZ, NG, NO, OM, PK, PA, PE, PH, PL, PT, PR, QA, RU, SA, SG, ZA, ES, SE, CH, TH, TR, UA, AE, GB, US, VE, VN.

Parameter reference (from input schema):

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

Note: When no boolean flags are selected, nothing will be scraped. Enable at least one time option.

Example JSON output

[
  {
    "time": "2026-04-03T05:12:30.123Z",
    "timePeriod": "Live",
    "trend": "Mahomes",
    "volume": "28.0K tweets"
  },
  {
    "time": "2026-04-03T05:12:30.123Z",
    "timePeriod": "1 hour ago",
    "trend": "#LaCasaDeLosFamososMx3",
    "volume": "35.2K tweets"
  },
  {
    "time": "2026-04-03T05:12:30.123Z",
    "timePeriod": "Yesterday",
    "trend": "Giants",
    "volume": "100.8K tweets"
  }
]

Tip: The actor also saves a run summary to the Key-Value Store as RUN_SUMMARY.json containing runStartedAt, proxyUsed, and stats (total_items, per_timePeriod, failed_urls).

FAQ

How is Twitter Trends Scrape different from a Twitter trends API?

It’s a Twitter trends API alternative that scrapes public trend pages on getdaytrends.com, so you can collect Twitter trending topics without needing API keys or elevated access.

Can I scrape Twitter trends without API access?

Yes. This Twitter trends scraping tool collects data from public pages and saves structured results to your dataset, making it easy to scrape Twitter trends without API credentials.

Can I get Twitter trends by location?

Yes. Set the country parameter to target a specific country’s trends or leave it empty to collect worldwide results.

Does it support historical snapshots like “yesterday” or “week ago”?

Yes. Enable the corresponding flags (e.g., yesterday, weekAgo, monthAgo, yearAgo, or hour1–hour23) to monitor Twitter trending topics across time periods.

What exactly gets saved to the dataset?

Each item contains four fields: time, timePeriod, trend, and volume. This provides a clean, analysis-ready structure for downstream use.

How reliable is it for automation?

It’s designed for automation with HTTP retries and an Apify Proxy fallback to RESIDENTIAL when the selected proxy is rejected, so you can automate Twitter trends scraping with fewer failures.

Do I need to log in or provide cookies?

No. The actor uses public pages on getdaytrends.com and requires no login.

Can I use this with Python or integrate it into workflows?

Yes. As an Apify actor, it fits into Python or API-based pipelines and can be scheduled to monitor Twitter explore trends or connected to tools that collect Twitter trending topics for analytics.

Final thoughts

Twitter Trends Scrape is built to collect structured, reliable trend snapshots for marketing, research, and analytics. With time-based flags, country targeting, robust retries, and smart proxy fallback, it streamlines how teams monitor Twitter/X trending topics at scale. Marketers, developers, analysts, and researchers can export JSON/CSV/Excel, wire it into pipelines, and automate trend tracking without a Twitter API. Start extracting smarter with a fast, resilient Twitter trending topics scraper designed for real-world workflows.