Keyword research is the backbone of any SEO strategy. But with so many metrics—search volume, CPC, keyword difficulty, ads competition—it can get overwhelming. The Keyword Research Tool simplifies this by providing all these metrics in one place, filtered by country. For example, you can quickly compare 'best coffee maker' across the US and UK to see where the opportunity lies. Here's a quick Python script to fetch keyword data programmatically:
python
import requests
url = 'https://serpspur.com/tool/keyword-research-tool/'
params = {'keyword': 'best coffee maker', 'country': 'US'}
response = requests.get(url, params=params)
data = response.json()
print(f'Search Volume: {data["search_volume"]}, Difficulty: {data["difficulty"]}')
Check it out at https://serpspur.com/tool/keyword-research-tool/ to refine your keyword strategy.
Top comments (4)
Love that you included the Python snippet—makes it immediately actionable. One thing I've found is that cross-country comparison can also reveal untapped long-tail variations; have you noticed any interesting cultural quirks in 'best coffee maker' between the US and UK results? Might be worth a deeper dive.
Interesting approach! One thing I'd add is that keyword difficulty can vary a lot depending on whether you're targeting informational or transactional intent—might be worth adding a filter for that in the tool.
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Nice script! Have you considered adding a loop to export a whole list of keywords to CSV? That would save a ton of time when doing bulk research for different niches.