Thumbtack Scraper

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Apify Actor for scraping local service professionals from Thumbtack.com. Uses CheerioCrawler for fast, efficient data extraction from Thumbtack's embedded JSON data.

Features

• Search any service category (plumbers, electricians, cleaners, trainers, etc.)
• Extract business name, rating, review count, pricing, hire count, services offered
• Location-specific or "near me" search
• Multiple queries in a single run
• No browser needed — fast and lightweight

Input

Example Input

{
"searchQueries":["plumbers","electricians","house cleaning"],
"maxListings":10,
"location":"san-francisco/ca"
}

Output

Each result contains:

Example Output

{
"name":"PipeX Plumbing",
"rating":4.9,
"reviewCount":146,
"reviewQuality":"Excellent",
"price":"$49/service call",
"hireCount":367,
"services":["Plumbing Drain Repair","Sink or Faucet Repair","Toilet Repair"],
"location":"Palo Alto, CA",
"profileUrl":"https://www.thumbtack.com/ca/palo-alto/affordable-plumbing-services/pipex-plumbing/service/422317811964379160",
"badge":"Top Pro",
"isOnline":true,
"licensed":true,
"highlightedReview":"The plumber was professional, punctual, and efficient. Would definitely recommend.",
"responseTimeHours":0.02,
"searchQuery":"plumbers",
"scrapedAt":"2025-01-15T10:30:00.000Z"
}

Use Cases

• Lead Generation: Find and contact local service providers
• Market Research: Analyze pricing, ratings, and competition across service categories
• Pricing Analysis: Compare service rates across different regions
• Competitor Monitoring: Track reviews, hire counts, and pricing for specific businesses
• Data Enrichment: Supplement CRM data with Thumbtack ratings and reviews

How It Works

1. Builds Thumbtack search URLs from your service queries and location
2. Fetches each page using CheerioCrawler (no browser needed)
3. Extracts structured data from Thumbtack's embedded __NEXT_DATA__ JSON
4. Parses business info, ratings, pricing, and reviews from the JSON structure
5. Outputs clean, structured results to the Apify dataset

Location Format

Use city/state slugs matching Thumbtack's URL structure:

Leave location empty to use Thumbtack's "near me" auto-detection.

Quick Start

apify run --purge
apify push
apify call --memory=256

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