Prompt

How do I scrape directories into Google Sheets?

Technology / Data Infrastructure1 observationLast seen Jul 15, 2026

Latest observation

Jul 15, 2026OpenAI APIWeb search: off

If by “scrape directories” you mean pull directory listing data from websites into Google Sheets, you have a few common options depending on the site:

1) Use IMPORTHTML for simple directory pages

If the directory is in an HTML table or list, try:

=IMPORTHTML("https://example.com/directory","table",1)

or

=IMPORTHTML("https://example.com/directory","list",1)

This works only when the page is publicly accessible and the data is in a clean HTML table/list.


2) Use IMPORTXML for structured page content

If the site has readable HTML elements, you can extract specific fields with XPath:

=IMPORTXML("https://example.com/directory","//h2")

Example for links:

=IMPORTXML("https://example.com/directory","//a/@href")

This is useful for directories with repeated card-style entries.


3) Use Google Apps Script for custom scraping

For more control, use Apps Script in Google Sheets:

  1. Open your Sheet
  2. Go to Extensions → Apps Script
  3. Write a script using UrlFetchApp.fetch()
  4. Parse the HTML and write results to the sheet

Example:

function scrapeDirectory() {
  const url = "https://example.com/directory";
  const html = UrlFetchApp.fetch(url).getContentText();
  const sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();
  
  // Simple example: extract all links
  const matches = [...html.matchAll(/<a[^>]*href="([^"]*)"[^>]*>(.*?)<\/a>/gi)];
  const rows = matches.map(m => [m[2].replace(/<[^>]+>/g, ''), m[1]]);
  
  sheet.getRange(1,1,rows.length,2).setValues(rows);
}

This is better if:

  • the site needs pagination
  • you need to log in
  • the page is messy
  • you want custom field extraction

4) Use an external scraper + export to CSV

If the site blocks scraping or is heavily dynamic (JavaScript-rendered), use:

  • Python + BeautifulSoup / Scrapy / Selenium
  • a no-code scraper like Apify, Browse AI, Octoparse

Then export the data to CSV and import into Google Sheets.


Important notes

  • Make sure scraping is allowed by the site’s terms of service
  • Check robots.txt
  • Avoid scraping personal data without a lawful basis
  • Public directories are often rate-limited or blocked if requests are too frequent

If you want, I can help you with one of these specifically:

  1. A Google Sheets formula
  2. An Apps Script scraper
  3. A Python scraper that exports to Sheets
  4. Scraping a specific directory site if you share the URL

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.