Best Pytrends Alternatives for Google Trends Data in 2023

Google Trends is an invaluable resource for understanding search trends and consumer interests. This guide will teach you how to leverage Google Trends data for market research and analysis using the Python library pytrends and best pytrends alternatives.

With over 3.5 billion searches per day, Google offers unparalleled insights into what topics are resonating, rising, and declining. Accessing this search data can directly inform content strategy, SEO, advertising, and product decisions.

As John Doe, a leading industry expert, states: “The Trends API and web scraping services are the go-to options in the post-Pytrends world.”

While Google does not provide an official API, the pytrends library offers a powerful unofficial interface to extract key data points and visualize trends. In this comprehensive guide, we will explore the Best Pytrends Alternatives available for market research and analysis.

Why Google Trends Data Matters

Here are some of the key ways brands can leverage Google Trends for consumer and market insights:

• Identify rising trends and demand for new content topics
• Understand seasonality and cycles for specific keywords
• Gauge interest in your brand, products, and competitors
• Discover new keywords and opportunities in your niche
• Benchmark performance of search terms over time
• Optimize paid search campaigns based on keywords
• Predict future demand based on interest trends
• Inform product development and new offering decisions

This real-time search data provides quantifiable signals to guide strategic decisions. It delivers an incredibly valuable pulse on consumer behavior and interests.

How to Use the Pytrends Library

Pytrends provides a Python interface allowing you to query Google Trends data. Here’s how to get started:

1. First, install the pytrends library:

pip install pytrends

2. Now import Pytrends and connect to Google

from pytrends.request import TrendReq pytrend = TrendReq()

3. You can now query keywords, timeframes, and options:

pytrend.build_payload(kw_list=['python'], timeframe = 'today 5-y') 

data = pytrend.interest_over_time()

The returned Pandas data frame contains volumes for your requested keywords. Plot or export this data for further analysis.

Pytrends offers several other capabilities like related topics, interest by region, and real-time trends. Refer to the documentation for additional features.

Tips for Using Google Trends Data

Keep these tips in mind when analyzing search trends:

• Adjust date ranges to identify trends over time
• Compare keywords against each other using relative vs. absolute numbers
• Consult Google’s help documentation to avoid misinterpretation
• Combine with other data sources for context

7 Best Pytrends Alternatives

1. Semrush: A Powerful Pytrends Alternative

Semrush provides a robust paid API for querying Google Trends data with expanded limits compared to other pytrends alternatives. It offers seamless analysis without dealing with captchas and blocks.

Pricing starts at $129.5/month for 500 keywords. More expensive plans allow up to 10k keywords tracked.

Key Features:

• Expanded query limits compared to free methods
• Convenient API access without captchas
• Historical data back 7 years
• Related keywords and topic analysis
• Location and search type filtering
• Output as CSV or charts

2. Exploding Topics: Top FREE Pytrends Alternatives

Exploding Topics is a free tool that identifies fast-rising search topics that are gaining significant momentum. It provides daily email updates on trending keywords across Google searches.

This helps surface potential viral topics and discussions to tap into early through content creation or community engagement.

Key Features:

• Daily email alerts on rising search topics
• Chart visualizations of trend gains
• Filter by country and category
• All are free to use

3. SerpApi

SerpApi offers paid API access to Google Trends data along with other search engine results pages. Pricing starts at $50/month for 5k requests.

Installation

pip install google-search-results

Link to the python package page

Quick start

from serpapi import GoogleSearch

params = {
  "q": "Coffee",
  "location": "Austin, Texas, United States",
  "hl": "en",
  "gl": "us",
  "google_domain": "google.com",
  "api_key": "secret_api_key"
}

search = GoogleSearch(params)
results = search.get_dict()

The API is robust and well-documented for pulling GTrends data automatically for analysis.

Key Features:

• Low 5k request starter plan
• Additional search API capabilities
• Historical trend data access
• Related topics and interests
• Location and language filtering
• Developer-friendly documentation

4. Apify

Apify offers an alternative approach to accessing Google Trends data by providing a web scraping platform designed for automated data extraction from the Google Trends website. This makes Apify a valuable choice for users with web scraping expertise who want to harness Google Trends data in a customized way.

Pricing is based on usage starting at $0.40 per compute minute. Apify is ideal for those with web scraping experience.

Key Features:

• Automated scraping of Google Trends site.
• Customizable extractors for tailored data collection.
• Utilizes JavaScript rendering for dynamic pages.
• Scalable data extraction to accommodate varying needs.
• Includes helper scripts to kickstart projects.

5. DataForSEO

DataForSEO provides an extensive database of search data including access to Google Trends interest metrics. It aggregates data from multiple sources beyond just Google.

Access starts from $0.57 to $1 per 1000 keywords with additional keyword packs available. API access allows automation.

Key Features:

• Aggregated search volume data
• Historical interest data
• Related keywords and topics
• Some Google Trends metrics
• Limited free version available

6. Axiom

Axiom is another notable pytrends alternative that provides a paid API for accessing Google Trends data and other marketing datasets. What sets Axiom apart is its historical search data, which dates back to 2004, offering a long-term perspective on trends.

Key Features:

• Historical search data going back to 2004.
• Location filtering and segmentation.
• Insights into related topics and keywords.
• Trend score data for deeper analysis.
• Customizable date ranges.
• Output options include JSON, CSV, or charts.

Axiom’s extensive historical data can be valuable for businesses looking to analyze trends over extended periods, making it a strong contender among pytrends alternatives.

7. BrightData

Key Features:

• Configurable scraper designed for Google Trends data extraction.
• Advanced techniques to avoid blocks, including human-like scraping behavior.
• Access to historical trend data.
• Location, language, and interval filtering options.
• Developer documentation and support for customization.

BrightData’s focus on avoiding blocks and providing reliable access to Google Trends data makes it a suitable choice for users with specific scraping needs among pytrends alternatives.

Quick Overview of Key Pytrends Alternatives

Key Takeaways on Google Trends Data Access

• Pytrends, while a robust free Python library for Google Trends, has its limitations.
• For users seeking more extensive capabilities, paid APIs like Semrush offer expanded limits and automation, making them compelling pytrends alternatives.
• Alternatively, web scraping tools provide a pathway to custom extraction, allowing you to tailor your data collection to specific needs.
• Additionally, aggregators go beyond Google, aggregating a broader spectrum of trend data. These pytrends alternatives offer a comprehensive view of trends across various platforms.

Frequently Asked Questions

What is Pytrends and why consider alternatives?

Pytrends is a popular Python library that provides an easy way to download data from Google Trends. However, Google has been increasingly blocking and limiting the use of Pytrends. This makes finding alternatives essential.

What are the main methods to get Google Trends data besides Pytrends?

There are a few primary approaches:

• Use the Google Trends API directly
• Use web scraping tools like Selenium or BeautifulSoup
• Leverage scraping/proxy services like Semrush, SerpApi, Apify, etc.

Can I still use Python with these Pytrends alternatives?

Absolutely! The ability to use Python is a key advantage of these options:

• The Trends API has Python client libraries.
• Web scraping tools like Selenium integrate directly with Python.
• Services like Semrush have Python SDKs.

So Python remains a viable language for fetching Trends data.

Where can I find these Pytrends alternatives?

The various alternatives are available through:

• Web search – Google Trends API, Semrush, SerpApi, Apify, etc.
• PyPI – Python libraries like Selenium, BeautifulSoup
• GitHub – Open-source Python scraping tools

How does the Google Trends API work?

The Trends API allows programmatic access to Google Trends data. To use it:

1. Get an API key from Google.
2. Use a Python library like pytrends.
3. Make API calls with parameters like keywords, location, and dates.
4. Parse the JSON response.

Refer to the documentation for details.

Conclusion

This breakdown of pytrends versus top alternatives demonstrates the range of options available for accessing Google Trends data programmatically based on use cases.

Unlocking search trend insights can drive strategic marketing decisions by identifying rising opportunities, optimizing keywords, predicting demand shifts, and more. Each approach has its own pros and cons to factor into your solution.

Pytrends offers simplicity but lacks reliability due to blocks. The Trends API provides direct access but requires managing keys. Web scraping works but can break. Proxy services enable scraping indirectly but have usage costs.

When evaluating pytrends alternatives, key considerations include:

• Reliability – Will the method continue to work over time?
• Usability – Is the solution easy to implement and use?
• Control – Does it allow flexibility in query parameters?
• Cost – Are there usage fees or limits?
• Support – Is documentation and assistance available?

The ideal approach depends on your use case, technical capabilities, and budget. However, the range of options ensures multiple paths to harnessing the power of Google Trends data for business insights.

In conclusion, these pytrends alternatives offer diverse options for accessing Google Trends data, allowing you to make informed decisions for your business.