Extract business listings, contact details, ratings, reviews, operating hours, and NAP data from JustDial, Sulekha, Google Business, Yelp, Yellow Pages, IndiaMART, and 5,000+ directories. Structured, weekly-refreshed data for lead generation, local SEO auditing, and market research teams.
Business directory data scraping is the automated extraction of structured listing information from online business directories and local search platforms. Every listing in a directory like JustDial, Yelp, or Google Business contains commercially valuable data: the business name, physical address, phone number, website URL, operating hours, category classification, star rating, review count, and customer review text. Aggregating this at scale — across thousands of businesses, multiple directories, and regular refresh cycles — creates structured business intelligence that powers lead generation, local SEO analysis, and market mapping.
Business directories are among the most data-rich sources on the public web, but the data is distributed across hundreds of platforms with different formats, taxonomy structures, and update frequencies. A single business may appear across JustDial, Sulekha, Google Business, and a dozen vertical directories simultaneously — each with slightly different data and varying accuracy. Scraping across multiple directories and reconciling the results gives you a more complete and accurate business profile than any single source provides.
DataFlirt's directory scrapers cover both global platforms — Google Business Profile, Yelp, Yellow Pages — and India-specific directories critical for local market intelligence, including JustDial, Sulekha, IndiaMART, and TradeIndia. We also support vertical-specific B2B directories like Clutch for technology companies, Houzz for home improvement, and G2 for software products, enabling precise industry targeting regardless of sector.
NAP consistency — name, address, and phone — is foundational to local SEO, and directory scraping is the only scalable way to audit it. By collecting the same business's listing across multiple directories, we flag discrepancies that signal outdated information or listing quality problems. This cross-directory consistency analysis is one of the most practically useful outputs of structured directory data collection.
Comprehensive extraction built for reliability, accuracy, and scale.
Scrape business name, address, phone, website, email, category, subcategory, operating hours, and payment methods for every listing in scope.
Collect star ratings, total review counts, individual review text, reviewer names, dates, and business response data from each directory.
Extract and cross-reference name, address, and phone across multiple directories to audit consistency and surface discrepancies.
Capture primary and secondary business categories, service tags, specialisations, and keyword labels used on each platform.
Collect business photo galleries, cover images, and media counts as signals of listing completeness and owner engagement.
Identify whether listings are claimed and verified by the business, and capture trust badges, awards, and accreditation signals.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "source": "justdial", "scraped_at": "2025-03-20T08:30:00Z", "listing": { "id": "jd_blr_48291", "name": "Sharma & Co. Chartered Accountants", "category": "Chartered Accountant", "address": "14, MG Road, Bengaluru 560001", "phone": "+91-80-4112XXXX", "website": "https://sharmaandco.in", "rating": 4.3, "review_count":87, "hours": "Mon-Sat 9am-7pm", "claimed": true, "years_active":12 } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Businesses matched and merged across directories using name, address, and phone matching to eliminate duplicates and reconcile data conflicts.
Location-aware scraping retrieves listings as seen by users in each target city — critical for accurate geo-specific directory data.
Automated cross-directory comparison flags name, address, and phone discrepancies for clean local SEO audit outputs.
Weekly refresh cycles collect only changed or new listings — minimising processing overhead while keeping the dataset current.
Category-level crawling handles directories with millions of listings, processing entire verticals across all target cities efficiently.
Beyond general directories we cover vertical platforms: Clutch for tech, Houzz for home, G2 for software, Healthgrades for medical, and more.
From solo analysts to enterprise data teams — here's how organizations use this data.
Business directories hold the most comprehensive, regularly updated records of local businesses available anywhere in the public web. DataFlirt aggregates this intelligence across thousands of platforms — globally and India-specifically — into clean, deduplicated, cross-referenced datasets that power lead generation, local SEO tools, and market research at any scale.
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Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
