Google Trends Related Keywords Finder

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1
Create a free account on Botster
2
Choose a bot and provide seed data
3
Start the bot and wait for completion
4
Download or share your results

About this bot

In short: This online tool will extract information about related queries from Google Trends.

Click to view the example results file for a better idea of the output.

How to export Google Trends related queries: video tutorial

Watch an easy-to-follow video guide on how to launch this bot:

Why extract Google Trends related queries?

This tool will export the most popular search queries and queries with the biggest increase in search frequency. You can use them on your site to make it rank higher on search engines.

Our Google Trends related queries scraper can be used for multiple purposes, such as:

  • SEO audit
  • SEO optimization
  • Blogging
  • Copywriting
  • Digital marketing and many more!

When retrieving related queries, Google Trends scraping software will grab the following details:

  • Keyword
  • Type (top / rising)
  • Query
  • Value

How to export Google Trends related queries?

  • Sign up on Botster
  • Go to the bot's start page
  • Select the time range
  • Specify your location
  • Enter your keywords. Each query must go on a new line
  • Click the "Start this bot" button

That's it – the Google Trends related queries scraper has started working!

Software walkthrough

1. Open the Launch bot form.

Click on the "Start bot" button on the right-hand side of this page to open the spider's form:

2. Enter the details.

Give your "Job" a meaningful title, and optionally specify (or create) a project folder:

3. Specify the time range.

Select the period of time for the bot to scrape Google Trends related queries for:

4. Select your location.

Google Trends data may differ significantly depending on the location. Specify the location you are interested in:

5. Enter your keywords.

Each query must go on a new line: 

6. Set up notifications.

Specify if you would like to receive a notification when the grabber is finished exporting Google Trends related queries:

7. Start the bot!

Click the "Start this bot" button on the right-hand side:

That's it! You will be taken to your "Jobs" section. The software is now working and will notify you once it's done extracting Google Trends related queries. 

Data output

After the bot completes the job you can download your related queries: Google Trends data will be available for saving as an Excel (XLSX), CSV or JSON file.

To use this bot you need to register or log in first.

Frequently asked questions

Yes, you can. Head to the Google Trends Related Keywords bot’s start page, paste your queries, and start the bot. The resulting table will contain the queries that are classified by Google as relating to yours.

Yes, it is. The Google Trends service features a search field where you can enter just one query, making bulk analysis impossible. On the contrary, the Google Trends Related Keywords bot allows entering multiple keywords during one session and exports all data about them into one table, making the further analysis much more convenient. Try it out!

Once the Google Trends Related Keywords bot is done scraping, open your job, click on the menu in the top right corner, and select the Excel logo. The file will be automatically saved to your computer. Other formats available for download include CSV, JSON and Google Sheets.


Endpoint: POST https://botster.io/api/v2/bots/google-trends-related-scraper

Request body:

input string or array of strings (required)
Keywords

trends_country (required)
Location

timerange string (required)
Time range
Possible values:

past_dayPast day (output frequency: 8 minutes)
past_hourPast hour (output frequency: 1 minute)
past_7_daysPast 7 days (output frequency: 1 hour)
2004_present2004 - present (output frequency: 1 month)
past_30_daysPast 30 days (output frequency: 1 day)
past_4_hoursPast 4 hours (output frequency: 1 minute)
past_5_yearsPast 5 years (output frequency: 7 days)
past_90_daysPast 90 days (output frequency: 1 day)
past_12_monthsPast 12 months (output frequency: 7 days)



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