Extract Yelp business dataβname, rating, review count, address, phone, categories, and hoursβfrom any Yelp business URL.
βΆοΈ Run it now on Apify: Yelp Business Scraper
- Scrape name, rating, and review count
- Capture address, phone, and website
- Pull categories and opening hours
- Works from any Yelp /biz/ URL
- Structured JSONβready for CRMs
from apify_client import ApifyClient
# 1. Install:
# pip install apify-client
# 2. Initialize (get your token at https://apify.com?fpr=redditscrapers):
client = ApifyClient("<YOUR_API_TOKEN>")
# 3. Configure input:
run_input = {
"urls": [
"https://www.yelp.com/biz/jack-in-the-box-san-francisco"
]
}
# 4. Execute actor:
run = client.actor("vulnv/yelp-scraper").call(run_input=run_input)
# 5. Fetch results:
dataset_id = run["defaultDatasetId"]
for item in client.dataset(dataset_id).iterate_items():
print(item)| Parameter | Type | Description |
|---|---|---|
urls |
array | Yelp business (/biz/) URLs to scrape |
[
{
"name": "Jack in the Box",
"rating": 2.5,
"review_count": 312,
"address": "1150 Harrison St, San Francisco, CA 94103",
"phone": "+1 415-555-0100",
"categories": [
"Fast Food",
"Burgers"
]
}
]- Local lead generation: build business contact lists
- Reputation monitoring: track ratings and review volume
- Competitor research: benchmark nearby businesses
- Data enrichment: append categories and hours
- Python / JavaScript SDK, CLI, and HTTP API β see the API docs
- OpenAPI definition β openapi
- MCP server for real-time AI-agent integration β MCP
- β No login or platform API token required
- β Clean, structured JSON output
- β Export to JSON, CSV, Excel, XML
- β Fully SDK & REST compatible via the Apify ecosystem
- β Built-in Apify Proxy support to avoid blocks
- Create a free Apify account
- Open the actor: Yelp Business Scraper
- Paste your input and click Run β or call it via the API above
- Export your data in JSON, CSV, or Excel
βΆοΈ Run Yelp Business Scraper on Apify- π API & Python examples
- π€ MCP server for AI agents
- π Create your free Apify account
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