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Google Trends Scraper FAST

data_xplorer/google-trends-fast-scraper

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🚀 Supercharge your market research with this awesome Google Trends scraper! 🔥 Grab hot trends, regional insights, and multi-language data in a flash. ⚡ From real-time tracking to historical deep dives - we've got you covered! 🎯

🔍 Google Trends Scraper

Transform your market intelligence with our Google Trends scraper! Whether you're analyzing search trends, monitoring keyword popularity, or conducting market research, this tool efficiently collects and structures Google Trends data. Built for performance and reliability, it handles multiple regions and time periods with ease.

trends scraper

✨ What You'll Get

📊 Available Data

Keyword trends over time
Interest by geographic regions
Detailed timeline data with minute-by-minute granularity for short periods
Regional interest distribution

💬 Data Structure

Field	Description
keyword	The search term being analyzed
timeframe	Time period of the analysis
geo	Geographic region of the data
trends_url	Direct URL to Google Trends
timeline_data	Time-based trend data (minute/daily granularity)
region_data	Regional interest distribution with rankings
data_granularity	Data precision (minute/day)

🚀 Performance Features

⚡️ Lightning Fast:

Efficient data retrieval
Optimized resource usage
Smart retry mechanism

🛠️ Smart Handling:

Automatic proxy rotation
Error handling and retries
Data validation and cleaning

🌍 Global Coverage:

Multi-language support
Multiple time period options
Region-specific analysis
Standardized output format

📋 Quick Start

Input Parameters

Parameter	Type	Default	Description
keyword	string	required	The search term to analyze
timeframe	string	today 12-m	Time period for analysis (default: Past 12 months)
geo	string	US	Country code (e.g., US, FR, GB)
language	string	en-US	Interface language (en-US, fr, en-GB, de, es, it)

Time Periods Available

Value	Description
now 1-h	Past hour
now 4-h	Past 4 hours
now 1-d	Past day
now 7-d	Past 7 days
today 1-m	Past 30 days
today 3-m	Past 90 days
today 12-m	Past 12 months (default)
today 5-y	Past 5 years
all	2004 - present

Input Example

1{
2    "keyword": "bitcoin",
3    "timeframe": "today 12-m",
4    "geo": "US",
5    "language": "en-US"
6}

Output Example

1{
2    "keyword": "bitcoin",
3    "timeframe": "today 12-m",
4    "geo": "US",
5    "trends_url": "https://trends.google.com/trends/explore?date=today%2012-m&geo=US&q=bitcoin&hl=en-US",
6    "timeline_data": {
7        "2023-12-01": 75,
8        "2023-12-02": 82,
9        "2023-12-03": 90
10    },
11    "region_data": [
12        {
13            "rank": 1,
14            "region": "California",
15            "value": 100
16        },
17        {
18            "rank": 2,
19            "region": "New York",
20            "value": 85
21        }
22    ],
23    "data_granularity": "day"
24}

💡 Pro Tips

Use specific country codes for regional analysis
Select your preferred interface language for better understanding
For recent trends, use shorter time periods (1h, 4h) to get minute-by-minute data
For long-term analysis, use 12-month or 5-year periods
Use appropriate language settings for region-specific insights

🔒 Reliability & Performance

Residential proxy support
Smart error handling and retries
Efficient resource management
Rate limiting compliance
Data validation
Language-specific optimizations

🌐 Language Support

Language	Code
English (US)	en-US
French	fr
English (UK)	en-GB
German	de
Spanish	es
Italian	it

Default: English (US)

🤝 Support

Need help? Have questions? We're here to help!

Open an issue for technical support
Check the documentation for detailed usage instructions

Developer

Data Xplorer

Actor Metrics

3 monthly users
1 star
67% runs succeeded
Created in Dec 2024
Modified 2 days ago

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