Google Trends Scraper

Google Trends Scraper pulls data from several search queries and current topics listed on Google by selecting categories and specifying geographic location, allowing you to stay up-to-date. Download your data in JSON, CSV, and Excel formats.

Real-Time Data
No Blocks or CAPTCHAs
Zero Coding

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INSIGHTS

Why Scrape Google Trends?

With Google Trends Scraper you can collect any data to find out what people around the world are searching for, and what ideas and trends are gradually gaining popularity. No matter who you are, whether you're an SEO specialist, an online store owner or you just like to follow trends, by studying the obtained information in detail you can learn everything: what to invest in, what keywords to use, where to buy real estate, what to sell, where to use resources and understand the current state of the world.

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How to Automatically Extract Google Trends Data

[
    {
        "date": "Nov 26 – Dec 2, 2023",
        "values": [
            {
                "query": "coffee",
                "value": "91",
                "extractedValue": 91
            }
        ],
        "timestamp": "1700956800"
    },
    {
        "date": "Dec 3 – 9, 2023",
        "values": [
            {
                "query": "coffee",
                "value": "93",
                "extractedValue": 93
            }
        ],
        "timestamp": "1701561600"
    },
    {
        "date": "Dec 10 – 16, 2023",
        "values": [
            {
                "query": "coffee",
                "value": "92",
                "extractedValue": 92
            }
        ],
        "timestamp": "1702166400"
    },
    {
        "date": "Dec 17 – 23, 2023",
        "values": [
            {
                "query": "coffee",
                "value": "92",
                "extractedValue": 92
            }
        ],
        "timestamp": "1702771200"
    },
    {
        "date": "Dec 24 – 30, 2023",
        "values": [
            {
                "query": "coffee",
                "value": "97",
                "extractedValue": 97
            }
        ],
        "timestamp": "1703376000"
    },
    {
        "date": "Dec 31, 2023 – Jan 6, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "93",
                "extractedValue": 93
            }
        ],
        "timestamp": "1703980800"
    },
    {
        "date": "Jan 7 – 13, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "84",
                "extractedValue": 84
            }
        ],
        "timestamp": "1704585600"
    },
    {
        "date": "Jan 14 – 20, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "88",
                "extractedValue": 88
            }
        ],
        "timestamp": "1705190400"
    },
    {
        "date": "Jan 21 – 27, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "87",
                "extractedValue": 87
            }
        ],
        "timestamp": "1705795200"
    },
    {
        "date": "Jan 28 – Feb 3, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "84",
                "extractedValue": 84
            }
        ],
        "timestamp": "1706400000"
    },
    {
        "date": "Feb 4 – 10, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "85",
                "extractedValue": 85
            }
        ],
        "timestamp": "1707004800"
    },
    {
        "date": "Feb 11 – 17, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "84",
                "extractedValue": 84
            }
        ],
        "timestamp": "1707609600"
    },
    {
        "date": "Feb 18 – 24, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "90",
                "extractedValue": 90
            }
        ],
        "timestamp": "1708214400"
    },
    {
        "date": "Feb 25 – Mar 2, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "86",
                "extractedValue": 86
            }
        ],
        "timestamp": "1708819200"
    },
    {
        "date": "Mar 3 – 9, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "83",
                "extractedValue": 83
            }
        ],
        "timestamp": "1709424000"
    },
    {
        "date": "Mar 10 – 16, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "85",
                "extractedValue": 85
            }
        ],
        "timestamp": "1710028800"
    },
    {
        "date": "Mar 17 – 23, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "83",
                "extractedValue": 83
            }
        ],
        "timestamp": "1710633600"
    },
    {
        "date": "Mar 24 – 30, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "83",
                "extractedValue": 83
            }
        ],
        "timestamp": "1711238400"
    },
    {
        "date": "Mar 31 – Apr 6, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "83",
                "extractedValue": 83
            }
        ],
        "timestamp": "1711843200"
    },
    {
        "date": "Apr 7 – 13, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "83",
                "extractedValue": 83
            }
        ],
        "timestamp": "1712448000"
    },
    {
        "date": "Apr 14 – 20, 2024",
        "values": [
            {
                "query": "coffee",
                "value": "85",
                "extractedValue": 85
            }
        ],
        "timestamp": "1713052800"
    }
]

date	values.0.query	values.0.value	values.0.extractedValue	timestamp
Nov 26 – Dec 2, 2023	coffee	91	91	1700956800
Dec 3 – 9, 2023	coffee	93	93	1701561600
Dec 10 – 16, 2023	coffee	92	92	1702166400
Dec 17 – 23, 2023	coffee	92	92	1702771200
Dec 24 – 30, 2023	coffee	97	97	1703376000
Dec 31, 2023 – Jan 6, 2024	coffee	93	93	1703980800
Jan 7 – 13, 2024	coffee	84	84	1704585600
Jan 14 – 20, 2024	coffee	88	88	1705190400
Jan 21 – 27, 2024	coffee	87	87	1705795200
Jan 28 – Feb 3, 2024	coffee	84	84	1706400000
Feb 4 – 10, 2024	coffee	85	85	1707004800
Feb 11 – 17, 2024	coffee	84	84	1707609600
Feb 18 – 24, 2024	coffee	90	90	1708214400
Feb 25 – Mar 2, 2024	coffee	86	86	1708819200
Mar 3 – 9, 2024	coffee	83	83	1709424000
Mar 10 – 16, 2024	coffee	85	85	1710028800
Mar 17 – 23, 2024	coffee	83	83	1710633600
Mar 24 – 30, 2024	coffee	83	83	1711238400
Mar 31 – Apr 6, 2024	coffee	83	83	1711843200
Apr 7 – 13, 2024	coffee	83	83	1712448000
Apr 14 – 20, 2024	coffee	85	85	1713052800

use cases

Use Cases for Scraping Google Trends

The Google Trends Scraper provides real-time access to Google Trends data, offering insights into the popularity of search terms over time and across regions.

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01

Compare Trends

Compare search trends across regions, time periods, and related topics. Gain competitive edge and refine your market positioning.

02

Monitor Searches

Capture real-time search interest data to spot emerging trends and capitalize on market shifts before your competitors.

03

Forecast Seasons

Predict demand fluctuations by analyzing historical search patterns, enabling smarter inventory and marketing decisions.

04

Uncover Topics

Generate fresh content ideas by exploring related queries and rising topics in your industry or niche.

advantages

Our Advantages

Our scrapers are designed for ease of use and efficiency, making them the perfect choice for anyone looking to quickly and easily gather data from Google Trends

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Time savings
Don't waste time building and testing your own scraper
Industry Expertise
Our experience allows us to create more efficient and reliable solutions
Support
Get access to customer support to help you get the most out of the tool
Low Cost
Building your own scraper can be costly, especially if you need to hire developers
Scalability
Get more data from different sources without having to create new scrapers
Regular Update
Our parsers are regularly updated to ensure they are compatible with Apartments.com website changes
Real-Time Data
Get real-time access to the latest data from Apartments.com without relying on outdated datasets
Never Get Blocked
Get reliable data extraction without ever getting blocked or having to solve CAPTCHA

pricing

Simple Transparent Pricing

Flexible pricing plans that are ready to scale with your business.

Try Google Trends Scraper for Free for 30 Days!

The easiest way to scrape Google Trends without writing a line of code.

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Startup
$49 /month
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- Up to 200,000 data rows
- Priority email support
- Data export to CSV, Excel, and JSON formats
Business
$99 /month
Try For Free
- Up to 1,000,000 data rows
- Personal manager
- Data export to CSV, Excel, and JSON formats
Enterprise
$249 /month
Try For Free
- Up to 3,000,000 data rows
- Personal manager
- Data export to CSV, Excel, and JSON formats

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FAQ

Frequently Asked Questions

Let us answer the most asked questions about Google Trends Scraper.

Google Trends Scraper

Compare Trends

Monitor Searches

Forecast Seasons

Uncover Topics

Try Google Trends Scraper for Free for 30 Days!

Startup

Business

Enterprise

Google Maps Scraper

Google SERP Scraper

People Also Ask Research Tool

01What is ready-made Google Trends Scraper?

02How quickly do I get results?

03Is it Legal to Scrape Google Trends?

04What is an API credits?

05Do I need a credit card to start the free trial?

06Can I cancel my plan any time?

07I'm not a developer, can you create custom scraping solutions for me?