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Twitter Trends Scraper & Country List Per Trend

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Twitter Trends Scraper: Track trending topics with hashtags, trend rankings, locations, and country availability. Build country-level trend datasets to compare regional interests, discover emerging topics, monitor conversations, and support social media research and content strategy.

Pricing

from $4.99 / 1,000 results

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0.0

(0)

Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

15 days ago

Last modified

Categories

Social media

Automation

Developer tools

🌐 Footprint depth

footprintMode

Optional

🔴 Live countries only = the countries the trend is trending in at this moment (fastest, most actionable). 🕰️ Live + previously trended = also returns the countries where it trended earlier, with the timestamp it last trended there. ⛔ Off = board only, no extra requests. Default: Live countries only.

Type:string

Default:liveOnly

Options:

liveOnlyliveAndRecentoff

🔢 How many trends to expand

maxTrendsToExpand

Optional

⚙️ Caps how many board trends get a footprint lookup — this counts TRENDS (parents), not the location rows they produce, so the location rows are always additional. Each expanded trend costs one extra page request. Example: 10 → the top 10 board trends are expanded, the rest are still returned without a footprint. Set 0 to expand every trend on the board (50 extra requests). Default: 10.

Type:integer

Minimum:0

Maximum:50

Default:10

📋 Max locations per trend

footprintTopN

Optional

🌍 Caps how many locations are returned per trend, in the site's own order (most relevant first). Observed range on real trends: 2–18 live countries and up to 34 previously-trended ones. Set 0 for no cap. Default: 25.

Type:integer

Minimum:0

Maximum:100

Default:25

🧬 Emit one row per trend × country

emitFootprintRows

Optional

✅ On: each location also becomes its own flat row (type = footprintLocation, isChild = true) with parentTrend, its rank in that country, and its last-trended timestamp — ideal for pivoting or a spreadsheet. These child rows are also mirrored to a separate per-run dataset. ❌ Off: the footprint stays only as the nested alsoTrendingIn / recentlyTrendedIn arrays on the trend row. Default: on.

Type:boolean

Default:true

📍 Starting market

market

Optional

🗺️ The trending board to read first. Leave on Worldwide to start from the global board. If you pass the legacy country key instead, it wins over this field, so existing input files keep working unchanged.

Type:string

Default:

Options:

DZARAUATBHBYBEBRCACLCODKDOECEGFRDEGHGRGTINIDIEILITJPJOKEKRKWLVLBMYMXNLNZNGNOOMPKPAPEPHPLPTPRQARUSASGZAESSECHTHTRUAAEGBUSVEVN

🕒 Board snapshots to read

boardWindows

Optional

⏱️ Which hourly snapshots of the board to scrape. Use "live" for the board as it stands now, or an hour number 1–23 for the board as it stood that many hours ago. Example: ["live", "1", "6"] → three boards, each fully footprinted. Legacy boolean keys (live, hour1 … hour23) still work and take priority when present. Default: ["live"].

Type:array

Default:

[
  "live"
]

🔗 Custom start URLs

startUrls

Optional

🧭 Scrape specific getdaytrends URLs directly. Supports the {today}, {yesterday} and {day3} placeholders. Example: https://getdaytrends.com/japan/3/

Type:array

🔁 Retries per request

maxRetries

Optional

♻️ How many times to retry a failed page fetch before recording an uncharged error row with a typed reason. Default: 3.

Type:integer

Minimum:0

Maximum:10

Default:3

⏳ Request timeout (seconds)

requestTimeoutSecs

Optional

⌛ Per-request timeout in seconds. Default: 30.

Type:integer

Minimum:5

Maximum:180

Default:30

🌍 Country (legacy key)

country

Optional

🧩 Backward-compatible alias for 'Starting market' above. Kept so input files written for the original scraper run unchanged. When both are set, this one wins. Leave empty to use the field above.

Type:string

🛡️ Proxy configuration

proxy

Optional

🔌 Defaults to no proxy — getdaytrends serves Apify's datacenter IPs directly, so no proxy is needed or billed. If a configured proxy fails, the actor falls back to Apify RESIDENTIAL, then to a direct connection.

Type:object

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Real-time Twitter Trends Scraper and X API alternative. Extract trending topics, hashtags, and tweet volume data by location without an official developer account. Perfect for social media analysis, sentiment tracking, market research, and automated content creation.