oxylabs/how-to-scrape-google-trends — GitHub trend

FINDING #8863 · UNIT ID 838876627

oxylabs/how-to-scrape-google-trends

Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.

[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000211

ENGAGEMENT0.0236

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

6.57

ACCEL

+0.46

RETENTION

73.3%

PEAK 2026-08-25 · FORK-RETENTION 0.0% · 46 STARS / WINDOW

Author Audience

AUDIENCE

31,111

FOLLOWERS

784

OWNER ★

69,190

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 46 / 46 (DIVERSITY 1.00)

Why This Is A Finding

oxylabs/how-to-scrape-google-trends собрал 46 звёзд за окно, тогда как у автора всего 784 подписчиков — эффективная аудитория ≈ 31,111. Это даёт surprise-индекс 0.000211 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 9% OF 9755 FINDINGS

#01wang2122/sprix-sage-router[ PYTHON ]0.81 #07MddIdd/mdd-sim-gateway[ PYTHON ]0.43 #10zeenie-ai/OpenCompany[ PYTHON ]0.39 #15HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.32 #16litaolemo/xtquant_big_convert[ PYTHON ]0.32

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 9%

VELOCITY6.573.71+2.86ABOVE 68%

RETENTION73.3%37.5%+35.8 PPABOVE 94%

FORKS1790-73ABOVE 18%

SURPRISE0.000.01-0.01ABOVE 7%