Yelp Business Scraper - Ratings, Reviews, Phone & Menus

What does Yelp Business Scraper do?

Yelp Business Scraper extracts complete business profiles from yelp.com by search term or location — name, categories, star rating and review count, phone, address and website, plus restaurant menus and optional email enrichment. Clean structured data ready for lead generation and market analysis.

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Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🔗 Paste-mode — paste any yelp-business URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
• 📋 Detail enrichment — toggle two-stage scraping: first collect listings, then enrich each with full description + detail-page-only fields. Off by default to keep runs fast; flip on when you need the deep payload.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] plus a structured socialProfiles { linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing } parsed from the description.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED. Set skipReposts: true to drop listings that repost the tracked content of one seen before.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📝 Description format selection — pick a single description representation — text, html, or markdown — and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
• ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED records (UNCHANGED opt-in via emitUnchanged). Saves 80–95% on daily monitoring.
• 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.

What data can you extract from yelp.com?

Each result includes Core listing fields (listingId, listingKey, title, subtitle, entityName, category, subcategory, and location, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and detailFetched), and contact information (contactEmail and contactPhone). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Business search keywords (e.g. "coffee", "plumber", "tacos"). Required if no startUrls provided.
• startUrls — Paste Yelp search-page URLs (e.g. https://www.yelp.com/search?find_desc=coffee&find_loc=San+Francisco). Each URL becomes its own search task; results are merged and deduped across all URLs. When provided, Start URLs replace the Search Term / Location fields. Only search-page URLs are supported — business (/biz/…) pages are skipped. (default: [])
• country — Which market to search. (default: "US")
• location — City, area, or region (e.g. "San Francisco, CA").
• maxResults — Maximum total results (0 = unlimited). (default: 25)
• includeDetails — Fetch the full business profile (rating, phone, website, hours, categories, address, attributes). Turn off for search-results only (name + address). (default: true)
• includeMenus — Fetch popular dishes / menu items (restaurants only; empty for non-food businesses). (default: true)
• enrichEmail — Visit each business's own website and extract a contact email (billed only per email found). Off by default. (default: false)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from your search inputs (queries, locations, startUrls, country) so different searches never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• ...and 16 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "coffee",
  "location": "San Francisco, CA",
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "coffee",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "coffee-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "coffee",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "a10c02bec2e3a38f2a86e7cfd21f5c690c044e58d74d9adfd91593c33e8ef7a7",
  "listingKey": "9XoXFO_3qqHHndg-RqEH_Q",
  "title": "Verve Coffee Roasters",
  "entityName": "Verve Coffee Roasters",
  "category": "Coffee & Tea",
  "location": "2101 Market St, San Francisco, CA, 94114",
  "priceText": "$$",
  "url": "https://www.yelp.com/biz/verve-coffee-roasters-san-francisco",
  "portalUrl": "https://www.yelp.com/biz/verve-coffee-roasters-san-francisco",
  "searchQuery": "coffee",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-07-17T20:10:18.285Z",
  "source": "yelp.com",
  "contentHash": "2f8ff328ec61c45bf6f9d31c3b6fe9a6f07f344727bc76e33fe8fc19ffda9c68",
  "imageUrl": "https://s3-media0.fl.yelpcdn.com/bphoto/OhONNIH2ylHtIxx_SF3ZkA/258s.jpg",
  "sellerWebsite": "https://www.vervecoffee.com/pages/locations-san-francisco",
  "contactPhone": "(415) 780-0867",
  "attributes": [
    "Offers delivery",
    "Offers take-out",
    "Wheelchair accessible",
    "Accessible parking near entrance",
    "QR code menus available",
    "... 15 more items"
  ],
  "rating": 3.9,
  "reviewCount": 326,
  "priceRange": "$$",
  "categories": [
    "Coffee & Tea",
    "Coffee Roasteries"
  ],
  "neighborhoods": [
    "Castro"
  ],
  "latitude": 37.767154,
  "longitude": -122.429104,
  "timezone": "America/Los_Angeles",
  "hoursToday": [
    "6:30 AM - 5:00 PM"
  ],
  "isClaimed": true,
  "isClosed": false,
  "website": "https://www.vervecoffee.com/pages/locations-san-francisco",
  "isRepost": false
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED. Yelp's business search only surfaces a capped window of results with no reported total, so a business that has merely scrolled out of that window can't be told apart from one that's actually closed — this actor tracks new and changed businesses but never claims one is gone for good.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape yelp.com

1. Go to Yelp Business Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from yelp.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape yelp.com?

Yelp Business Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.004 per run
• Per result: $0.001 per listing record

Example costs:

• 10 results: $0.014
• 25 results: $0.029
• 100 results: $0.1
• 200 results: $0.2
• 500 results: $0.5

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.10	$0.009	$0.10 (91%)	$0.27
15% — moderate broad query	$0.10	$0.02	$0.09 (82%)	$0.57
30% — high-volume aggregator	$0.10	$0.03	$0.07 (67%)	$1.02

Full re-scrape monthly cost at daily polling: $3.12. First month with incremental costs $0.36 / $0.65 / $1.09 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from yelp.com?

The number of results depends on the search query and available listings on yelp.com. Use the maxResults parameter to control how many results are returned per run.

Does Yelp Business Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Yelp Business Scraper with other apps?

Yes. Yelp Business Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Yelp Business Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Yelp Business Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape yelp.com?

This actor extracts publicly available data from yelp.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.