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Create app.py
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app.py
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from fastapi import FastAPI
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from fastapi.responses import JSONResponse
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from pytrends.request import TrendReq
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import asyncio
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import time
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app = FastAPI(title="PyTrends API")
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@app.get("/health")
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async def health_check():
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return {"status": "Health check endpoint", "message": "Get interest over time for keywords", "interest_by_region": "Get interest by region for keywords", "trending_searches": "Get trending queries for a keywords", "related_queries": "Get related queries for keywords", "note": "If you get a 429 error, Google Trends is rate limiting. Wait a few minutes and try again."}
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@app.get("/interest_over_time")
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async def interest_over_time(keyword: str):
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try:
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pytrends = TrendReq(hl='en-US', tz=360)
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time.sleep(0.5)
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pytrends.build_payload([keyword], timeframe='today 12-m')
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df = pytrends.interest_over_time()
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return {"data": df.to_dict()}
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except Exception as e:
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return JSONResponse(status_code=429, content={"error": str(e), "note": "If you get a 429 error, Google Trends is rate limiting. Wait a few minutes and try again."})
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@app.get("/interest_by_region")
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async def interest_by_region(keyword: str):
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try:
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pytrends = TrendReq(hl='en-US', tz=360)
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time.sleep(0.5)
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pytrends.build_payload([keyword])
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df = pytrends.interest_by_region()
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return {"data": df.to_dict()}
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except Exception as e:
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return JSONResponse(status_code=429, content={"error": str(e), "note": "If you get a 429 error, Google Trends is rate limiting. Wait a few minutes and try again."})
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@app.get("/trending_searches")
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async def trending_searches():
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try:
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pytrends = TrendReq(hl='en-US', tz=360)
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time.sleep(0.5)
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df = pytrends.trending_searches(pn='united_states')
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return {"data": df.to_dict()}
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except Exception as e:
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return JSONResponse(status_code=429, content={"error": str(e), "note": "If you get a 429 error, Google Trends is rate limiting. Wait a few minutes and try again."})
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@app.get("/related_queries")
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async def related_queries(keyword: str):
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try:
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pytrends = TrendReq(hl='en-US', tz=360)
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time.sleep(0.5)
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pytrends.build_payload([keyword])
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df = pytrends.related_queries()
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return {"data": str(df)}
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except Exception as e:
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return JSONResponse(status_code=429, content={"error": str(e), "note": "If you get a 429 error, Google Trends is rate limiting. Wait a few minutes and try again."})
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