Chiropractor Lead Scraper

Find chiropractor practices by city or region and export public lead data for outreach, SEO research, and market mapping.

What does Chiropractor Lead Scraper do?

Chiropractor Lead Scraper searches public web results for chiropractic clinics in the locations you provide. It returns practice names, websites, snippets, location labels, contact fields, source URLs, and optional emails found on practice websites.

Who is it for?

• Local SEO agencies building chiropractor prospect lists.
• Healthcare marketing teams researching clinics by city.
• B2B SaaS teams selling appointment, billing, or patient engagement tools.
• Data teams enriching CRM records with public chiropractor websites.
• Researchers mapping local healthcare provider markets.

Why use this actor?

• Purpose-built for chiropractor and chiropractic clinic discovery.
• Simple location input: enter one or more cities/regions.
• Optional website email enrichment.
• Produces clean rows that are easy to export to CSV, Excel, JSON, or API workflows.
• Includes a Google Maps search URL for quick manual verification.

Data you can extract

Field	Description
name	Practice or page title cleaned into a lead name.
category	Chiropractor category label.
address	Public search snippet, often including service area or address context.
city	City parsed from your location input.
region	State/region parsed from your location input.
phone	Phone number when visible in the public snippet.
website	Practice website or source page.
email	First email found during optional website enrichment.
emails	All emails found during optional enrichment.
socialLinks	Public social profile links found on the website.
googleMapsSearchUrl	Verification search link for the practice.
sourceUrl	Original public result URL.
scrapedAt	Timestamp of extraction.

How much does it cost to scrape chiropractor leads?

This actor uses pay-per-event pricing. You pay a small start fee and a per-lead fee for each saved dataset item. Keep first runs small by using the prefilled input or setting maxItems to 10-50.

Input options

• locations: cities, states, regions, or service areas to search.
• maxItems: maximum leads to save across all locations.
• includeWebsiteEmails: visit each website and extract emails/social links.
• searchQuery: optional advanced override for the search phrase.

Example input

{
  "locations": ["Austin, Texas", "Denver, Colorado"],
  "maxItems": 50,
  "includeWebsiteEmails": false
}

Example output

{
  "name": "Austin Chiropractic",
  "category": "chiropractor",
  "city": "Austin",
  "region": "Texas",
  "website": "https://www.austintxchiro.com/",
  "email": null,
  "googleMapsSearchUrl": "https://www.google.com/maps/search/?api=1&query=Austin%20Chiropractic%20Austin%2C%20Texas",
  "source": "OpenStreetMap/Nominatim public data"
}

How to run it

1. Open the actor on Apify.
2. Enter one or more locations.
3. Choose the maximum number of leads.
4. Enable website email enrichment only when you need emails.
5. Start the run.
6. Download results from the Dataset tab.

Tips for better results

• Use city + state/country, for example Austin, Texas.
• Use several nearby cities for metro-wide prospecting.
• Keep email enrichment off for faster discovery runs.
• Turn enrichment on for smaller lists that need contact emails.
• Review googleMapsSearchUrl for high-value prospects.

Integrations

• Send dataset rows to Google Sheets with an Apify integration.
• Use webhooks to trigger CRM imports after a run succeeds.
• Pull results from the Dataset API into Clay, Make, Zapier, or n8n.
• Combine with email verification tools before outreach.
• Join with existing CRM records by website domain.

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/chiropractor-lead-scraper').call({
  locations: ['Austin, Texas'],
  maxItems: 25
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('automation-lab/chiropractor-lead-scraper').call(run_input={
    'locations': ['Austin, Texas'],
    'maxItems': 25,
})
print(run['defaultDatasetId'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~chiropractor-lead-scraper/runs?token=MY-APIFY-TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"locations":["Austin, Texas"],"maxItems":25}'

MCP usage

Use Apify MCP with Claude Code or Claude Desktop:

https://mcp.apify.com/?tools=automation-lab/chiropractor-lead-scraper

Claude Code setup:

$claude mcp add apify-chiropractor-leads https://mcp.apify.com/?tools=automation-lab/chiropractor-lead-scraper

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-chiropractor-leads": {
      "url": "https://mcp.apify.com/?tools=automation-lab/chiropractor-lead-scraper"
    }
  }
}

Example prompts:

• "Find 25 chiropractor practices in Austin and summarize their websites."
• "Run the chiropractor lead scraper for Denver and return a CSV-ready table."
• "Extract chiropractor leads, then flag rows that include emails."

Data quality notes

The actor uses public OpenStreetMap/Nominatim listings, with public web-search fallback pages and optional website fetches. Some fields may be null when the public source does not expose them. Use the source URL and Google Maps search URL to verify important prospects.

Website email enrichment

When enabled, the actor opens each discovered website and scans the HTML for email addresses and social links. This can improve contact coverage, but it may be slower because every website is a separate request. For large discovery runs, scrape leads first and enrich a smaller shortlist later.

Limitations

• Search engines may return directory pages as well as direct practice websites.
• Phone numbers appear only when visible in public snippets.
• Address fields are best-effort because many organic results expose location text, not structured addresses.
• Email extraction only finds emails visible in website HTML.

Legality

This actor extracts publicly available information from public web pages. You are responsible for using the data lawfully, honoring applicable privacy rules, and complying with outreach regulations such as CAN-SPAM, GDPR, and local marketing laws.

FAQ

Why are some emails empty?

Many practices hide emails behind contact forms or images. Enable website enrichment and verify high-value websites manually.

Why do I see directory pages?

Public search results can include directories. Use the website and source URL fields to filter direct clinic domains.

How can I get more leads?

Add more locations or increase maxItems. For metro areas, include suburbs as separate locations.

Can I scrape other healthcare specialties?

You can use searchQuery to test related terms, but this actor is optimized and described for chiropractor leads.

Related scrapers

• https://apify.com/automation-lab/google-maps-scraper
• https://apify.com/automation-lab/business-leads-scraper
• https://apify.com/automation-lab/email-scraper

Changelog

• 0.1.0 Initial version for chiropractor lead discovery.

Support

If a location returns too few results, try a broader city name, include the state or country, and reduce advanced filters.

Production prospecting workflow

A practical workflow is to start with a small discovery run, review the result quality, and then expand the location list. For example, a sales team targeting a metro area can enter the main city plus surrounding suburbs, keep email enrichment disabled, and export a first CSV of practice websites. After filtering out directories or low-fit rows, the same team can rerun smaller batches with includeWebsiteEmails enabled to collect public contact emails and social profile links.

For repeatable lead generation, store successful inputs in your CRM playbook. Use consistent location names such as Phoenix, Arizona or Orange County, California, then schedule runs monthly or quarterly to refresh new practices and changed websites. The sourceUrl, googleMapsSearchUrl, and scrapedAt fields help your team audit where each row came from and when it was collected.

Quality control checklist

• Review a sample of source URLs before outreach.
• Filter obvious directory pages when you need only direct clinic websites.
• De-duplicate by website domain across multiple locations.
• Validate emails before campaigns.
• Keep maxItems small while testing new markets.
• Add suburbs as separate locations for better metro coverage.
• Prefer city and state/country over broad country-wide searches.
• Monitor null contact fields and enrich only shortlisted rows.
• Combine dataset exports with CRM suppression lists.
• Keep outreach compliant with privacy and marketing rules.