DIRECTORY & LISTING SCRAPING
Directory & Listing Scraping for Business & Location Data.
Extract structured business listings from online directories — including company names, contact details, addresses, categories, opening hours, ratings, and geolocation data. Built for lead generation, market mapping, local SEO analysis, and business intelligence across any public directory or listing site.
- Business names & contact info
- Addresses & geolocation
- Categories & hours & ratings
- API, database, CSV & JSON delivery
OVERVIEW
Directory scraping for business listings, locations, and market intelligence.
Online directories and listing sites contain some of the most valuable business data on the web — company names, contact details, physical addresses, categories, opening hours, ratings, and customer reviews. But this data is scattered across dozens of sources, each with its own structure, pagination model, and location hierarchy.
Our directory & listing scraping workflows extract structured business data from these sources and normalize it into a single schema. Whether you're building a lead-generation database, mapping competitors by region, analyzing local market density, or enriching an internal CRM, we build the extraction pipeline that turns directory pages into clean, usable records.
Each workflow handles the specific structure of your target directories: category trees, location-based browse pages, paginated listings, filter-based searches, and per-listing detail pages. Every output is validated, deduplicated, and delivered through the format and frequency your team needs.
CAPABILITIES
What our directory scraping service can extract.
Every workflow is scoped around your target directories and the specific business fields your use case requires.
Business listings
Company names, descriptions, categories, tags, and listing details from any directory source.
Contact information
Phone numbers, email addresses, websites, and social profile links where exposed.
Addresses & geolocation
Full addresses, area, city, region, postal code, latitude/longitude, and map coordinates.
Categories & sub-categories
Primary category, sub-category, business type, and tags used for classification.
Ratings & reviews
Average ratings, review counts, rating distributions, and review snippets where available.
Opening hours
Regular opening hours, holiday hours, and daily schedules where exposed by the source.
Location browse crawls
Navigate location hierarchies, region filters, city pages, and postcode-based listing views.
Multi-directory unification
Combine listings from multiple directories into one schema, with deduplication across sources.
WORKFLOW
A structured approach to directory scraping.
FIELDS
Define exactly what you need.
Directory workflows can output any combination of business, contact, location, and classification fields your source exposes.
| FIELD | TYPE | EXAMPLE |
|---|---|---|
| business_name | String | Example Business Pvt Ltd |
| category | String | Restaurants › Italian |
| sub_category | String | Pizza & Pasta |
| description | Text | Business description |
| tags | Array[String] | ["delivery","family","outdoor"] |
| rating | Decimal | 4.3 |
| reviews_count | Integer | 412 |
| phone | String | +91 98765 43210 |
| String | info@example.com | |
| website | URL | https://example.com |
| social_profiles | Object | {"facebook":"…","instagram":"…"} |
| String | +91 98765 43210 | |
| full_address | String | 123 Example Street, Mumbai |
| area | String | Bandra West |
| city | String | Mumbai |
| state | String | Maharashtra |
| postal_code | String | 400050 |
| latitude | Decimal | 19.0760 |
| longitude | Decimal | 72.8777 |
| source_directory | String | example-directory.com |
| listing_url | URL | https://…/listing/123 |
| listing_status | String | Active |
| captured_at | Datetime | 2026-10-02T09:00:00Z |
| checksum | String | Record hash |
Field availability depends on the directory and listing structure. Custom field mapping is available for any schema.
DELIVERY
Get the output where you need it.
Directory scraping workflows deliver through the format, destination, and frequency your team already works with.
SAMPLE OUTPUT
See the output before you scale.
A sample dataset lets you review fields, structure, and level of detail before committing to a full production workflow.
| listing_url | image | business | category | city | rating | phone |
|---|---|---|---|---|---|---|
| https://example-directory.com/listing/example-cafe-1 | https://cdn.example-directory.com/img/ec-1.jpg | Example Café | Restaurants › Café | Mumbai | 4.3 out of 5 | +91 98765 43210 |
| https://example-directory.com/listing/example-store-2 | https://cdn.example-directory.com/img/es-2.jpg | Example Store | Retail › Apparel | Mumbai | 4.1 out of 5 | +91 98765 43211 |
| https://example-directory.com/listing/example-clinic-3 | https://cdn.example-directory.com/img/ec-3.jpg | Example Clinic | Healthcare › Clinic | Pune | 4.7 out of 5 | +91 98765 43212 |
| x | x | x | x | x | x | x |
| x | x | x | x | x | x | x |
EXPLORE MORE
Related services and solutions.
Website Scraping Services
General-purpose website scraping for static and dynamic sources.
Explore Service →
Dynamic Website Scraping
Extract from JS-rendered directory pages, SPAs, and infinite scroll listings.
Explore Service →
Custom Web Scraping
Fully bespoke extraction workflows built around complex or specific requirements.
Explore Service →
Data Extraction Services
Transform directory content into structured datasets containing the exact fields you need.
Explore Service →
Real-Time & Scheduled Scraping
Run recurring directory data collection on daily, weekly, or custom schedules.
Explore Service →
Data Cleaning & Structuring
Normalize, deduplicate, and validate directory data for analytics and CRM systems.
Explore Service →
FAQ
Directory & Listing Scraping — frequently asked questions.
What is directory scraping?
Directory scraping is the process of extracting structured business listings from online directories — including company names, contact details, addresses, categories, ratings, and opening hours. The result is a structured dataset your team can use for lead generation, market research, local SEO analysis, or CRM enrichment.
Which directories can you scrape?
We can scrape most public business directories, local listing sites, yellow pages, trade directories, review directories, and industry-specific listing platforms. Each source is evaluated during the analysis phase to confirm feasibility and compliance.
Can you scrape listings across multiple locations?
Yes. We can navigate location-based browse pages, city filters, region hierarchies, and postcode-based searches to extract business listings across any geography the source supports.
Can you extract contact details and geolocation data?
Yes, when exposed by the source. This includes phone numbers, email addresses, website URLs, full addresses, and latitude/longitude coordinates where present on the listing page.
Can you combine data from multiple directories into one dataset?
Yes. We normalize listings from multiple directories into a single schema and apply deduplication so the same business appearing on multiple sources is not duplicated in your dataset.
How is the data delivered?
Data can be delivered through REST APIs, JSON, CSV, Excel, direct database inserts, scheduled feeds, cloud storage, or custom integrations.
Can directory scraping run on a schedule?
Yes. Workflows can run once, daily, weekly, monthly, or on fully custom schedules, with automated delivery into your chosen destination.
How do you handle directory structure changes?
Recurring workflows are monitored in production. When a directory changes its page structure, category layout, or listing display, we update the extraction logic so downstream data stays consistent.
What does the pricing include?
Pricing covers source analysis, workflow development, sample validation, ongoing monitoring, deduplication, schema validation, and delivery through your chosen format.
Can I request a sample before committing?
Yes. We provide a sample dataset for a defined scope so you can review the fields, structure, and level of detail before scaling.
Need directory & listing scraping built around your sources?
Tell us which directories you want to extract from, the business fields you need, and how often the data should refresh. Our team will design a workflow around your requirements.