Yelp Business Leads Scraper

Yelp Business Leads Scraper turns local listings into actionable, high-intent prospects by extracting structured business information from Yelp. It helps you quickly build targeted lead lists based on category and location, so you can focus on outreach instead of manual research. Use this Yelp business leads scraper to fuel sales pipelines, local marketing campaigns, and data-driven prospecting workflows.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

Yelp Business Leads Scraper is a data collection tool that gathers detailed business information from Yelp and converts it into clean, structured datasets. It automates the process of finding local businesses, capturing their key details, and preparing them for use in CRMs, spreadsheets, or outbound tools.

This project is ideal for:

• Sales teams building local prospect lists
• Agencies running regional marketing campaigns
• Freelancers and consultants targeting niche industries
• Product builders enriching internal databases with local business data

Why Local Business Leads Matter

• Highly targeted local leads improve outreach conversion rates and response quality.
• Category and location filters ensure you only collect businesses relevant to your niche.
• Structured data saves hours of manual copy-paste from Yelp search results.
• Consistent fields make it easy to import data into CRM, automation, or BI tools.
• Automated runs help keep lead lists fresh, up-to-date, and aligned with current listings.

Features

Feature	Description
Category-Based Search	Target specific business categories (e.g., restaurants, dentists, plumbers) to generate focused lead lists.
Location Filtering	Filter businesses by city, region, neighborhood, or ZIP code for hyper-local targeting.
Detailed Data Extraction	Collect key business info such as name, address, phone, website, rating, review count, and more.
Smart Data Formatting	Outputs clean, structured data ready for CSV, Excel, or direct CRM import with minimal transformation.
Cookie-Based Session Support	Uses your authenticated browser cookies to access personalized or geo-specific results when needed.
Proxy-Friendly Design	Compatible with standard HTTP proxies to reduce blocking and improve stability on large jobs.
Rate Limiting & Error Handling	Built-in throttling and retry logic to handle timeouts, missing pages, and transient failures gracefully.
Configurable Limits	Control maximum number of businesses to fetch per run for quick tests or full-scale lead generation.

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What Data This Scraper Extracts

Field Name	Field Description
id	Internal unique identifier for the business record.
name	Official business name as displayed on Yelp.
category	Primary business category (e.g., "Dentists", "Italian", "Plumbers").
categories	List of all categories associated with the business.
rating	Average star rating of the business.
reviewCount	Total number of reviews submitted on Yelp.
priceRange	Price tier indicator (e.g., $, $$, $$$) when available.
phone	Public business phone number.
address	Full street address line.
city	City where the business is located.
state	State or region code for the business.
postalCode	Postal or ZIP code of the business.
country	Two-letter country code.
latitude	Latitude coordinate for map/location usage.
longitude	Longitude coordinate for map/location usage.
website	Business website URL, if listed or inferred.
yelpUrl	Direct link to the business page on Yelp.
reviewSnippet	Short preview of a representative review, if available.
openingHours	Structured opening hours or descriptive schedule text.
isClaimed	Indicates whether the business profile is claimed by the owner.
sourceTimestamp	Timestamp indicating when this record was collected.

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Example Output

Example:

[
  {
    "id": "yelp-12345",
    "name": "Sunset Smile Dental Clinic",
    "category": "Dentists",
    "categories": [
      "Dentists",
      "Cosmetic Dentists",
      "Oral Surgeons"
    ],
    "rating": 4.8,
    "reviewCount": 132,
    "priceRange": "$$",
    "phone": "+1 415-555-2034",
    "address": "1234 Irving St Ste 201",
    "city": "San Francisco",
    "state": "CA",
    "postalCode": "94122",
    "country": "US",
    "latitude": 37.76321,
    "longitude": -122.47233,
    "website": "https://www.sunsetsmiledental.com",
    "yelpUrl": "https://www.yelp.com/biz/sunset-smile-dental-clinic-san-francisco",
    "reviewSnippet": "The staff is incredibly friendly and they always take time to explain every procedure.",
    "openingHours": "Mon–Fri 9:00 am - 6:00 pm",
    "isClaimed": true,
    "sourceTimestamp": "2025-01-10T08:32:15.000Z"
  },
  {
    "id": "yelp-67890",
    "name": "Taco Verde Truck",
    "category": "Food Trucks",
    "categories": [
      "Food Trucks",
      "Mexican"
    ],
    "rating": 4.5,
    "reviewCount": 89,
    "priceRange": "$",
    "phone": "+1 512-555-8899",
    "address": "5th St & Congress Ave",
    "city": "Austin",
    "state": "TX",
    "postalCode": "78701",
    "country": "US",
    "latitude": 30.26721,
    "longitude": -97.74298,
    "website": null,
    "yelpUrl": "https://www.yelp.com/biz/taco-verde-truck-austin",
    "reviewSnippet": "Probably the best tacos downtown, especially the pastor.",
    "openingHours": "Daily 11:00 am - 11:00 pm",
    "isClaimed": false,
    "sourceTimestamp": "2025-01-10T08:34:02.000Z"
  }
]

---

Directory Structure Tree

Business Leads with Yelp/
├── src/
│   ├── main.py
│   ├── config.py
│   ├── yelp_client.py
│   ├── parsers/
│   │   ├── search_parser.py
│   │   └── business_parser.py
│   ├── pipelines/
│   │   ├── lead_builder.py
│   │   └── export_pipeline.py
│   ├── utils/
│   │   ├── cookies_loader.py
│   │   ├── rate_limiter.py
│   │   └── logging_utils.py
│   └── runners/
│       └── cli_runner.py
├── config/
│   ├── settings.example.json
│   └── logging.yaml
├── data/
│   ├── inputs.example.json
│   └── samples/
│       └── yelp_leads_sample.json
├── exports/
│   ├── output.csv
│   └── output.json
├── tests/
│   ├── test_parsers.py
│   ├── test_yelp_client.py
│   └── test_export_pipeline.py
├── docs/
│   ├── usage.md
│   └── fields_reference.md
├── .env.example
├── requirements.txt
├── pyproject.toml
└── README.md

---

Use Cases

• Local marketing agencies use it to discover businesses in a specific city and niche, so they can pitch done-for-you ads, websites, or SEO services with warm, relevant outreach.
• B2B sales teams use it to build targeted prospect lists by category and ZIP code, so they can feed CRM sequences with accurate, geo-filtered business records.
• Freelance consultants use it to identify potential clients in industries they specialize in, so they can personalize proposals and increase project win rates.
• Startup founders use it to validate demand and map local market landscapes, so they can prioritize launch cities and verticals with real business density data.
• Data analysts and researchers use it to collect structured local-business datasets, so they can analyze competition, pricing tiers, ratings, and review trends.

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FAQs

Q1: Do I need cookies to use this scraper effectively? Yes. For the most reliable results, you should export your browser cookies from a logged-in Yelp session and provide them as input. This helps align results with your region, preferences, and any geo-specific content, and it reduces the chance of being rate-limited.

Q2: What input parameters can I customize? You can typically configure business category keywords, location (city, region, or ZIP), maximum number of leads to collect, and optional filters like minimum rating or minimum review count. You can also specify your cookies and proxy settings for more resilient large-scale runs.

Q3: In what formats can I export the collected leads? The scraper is designed to produce structured data that can be exported as JSON and easily converted to CSV or Excel. You can then load this data into spreadsheets, CRMs, marketing automation tools, or BI dashboards.

Q4: How does the scraper handle errors or blocked requests? Built-in retry logic and rate limiting back off automatically when encountering timeouts, temporary blocks, or missing pages. Failed requests can be logged and retried in subsequent runs, helping you maintain a high overall success rate.

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Performance Benchmarks and Results

Primary Metric: On a typical residential connection, the scraper can collect around 300–600 business records per 10 minutes for a single city-category combination, depending on filters and page depth.

Reliability Metric: With stable cookies and a conservative delay between requests, success rates above 95% per page are achievable, even on multi-hundred-record runs.

Efficiency Metric: Memory usage remains modest, as records are streamed and batched for export rather than stored entirely in memory, allowing it to run comfortably on lightweight virtual machines.

Quality Metric: For supported categories and regions, data completeness for core fields (name, rating, reviews, address, phone, Yelp URL) typically exceeds 98%, with optional fields (website, price range, coordinates) populated whenever available on the business profile.

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