{
  "id": 18215951,
  "title": "Keyword Research in Python: Ideas, Search Volume, Difficulty and Intent for ~$3 per 1,000 Keywords",
  "url": "https://urgent.news/2026/11/05/keyword-research-in-python-ideas-search-volume-difficulty-and-intent",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-05T00:46:54.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/steadyscrape/keyword-research-in-python-ideas-search-volume-difficulty-and-intent-for-3-per-1000-keywords-37j1"
  },
  "original_language": "en",
  "account": "Keyword research in Python involves starting with a few seed terms, expanding them into real search terms people use, and then keeping the ones with enough search volume and manageable difficulty. The Python-based Keyword Research Tool by SteadyScrape automates this process, allowing users to run the expansion loop from code at a cost of $3 per 1,000 keywords. The tool provides various data points for each keyword, including monthly search volume, cost-per-click (CPC), keyword difficulty (KD), search intent, SERP features, and trend percentages. Users can filter results based on volume, difficulty, intent, or exclude specific words. The tool uses a licensed keyword database refreshed monthly and operates only on Google search data, not YouTube, Amazon, or Bing.",
  "summary": "Most keyword research comes down to one loop: start from a few seed terms, expand them into everything people actually search, then keep the ones with real volume and a difficulty you can win. Here's how to run that loop from code, paying per keyword instead of per month, plus what a real run returns and where the data falls short. Three ways to expand seeds Disclosure: we (SteadyScrape) built…",
  "key_points": [
    "Python-based tool automates keyword research process",
    "Provides search volume, CPC, KD, intent, SERP features, trend percentages",
    "$3 per 1,000 keywords with filtered results based on various criteria"
  ],
  "editors_take": "Automating the keyword expansion loop through code lowers the barrier for developers to integrate high-volume search data and intent metrics into their own custom SEO workflows.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}