We extract local business listings, contact details, user ratings, reviews, and service catalogues from Justdial. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Business Listings objects from justdial.com. All fields typed and schema-versioned.
"business_id": "080PXX80.XX80.120329154415.M6M5", "name": "Nandhini Deluxe", "primary_category": "Restaurants", "city": "Bengaluru", "pincode": "560001", "jd_verified": true, "rating": 4.2, "vote_count": 1423
| # | business_id | name | primary_category | sub_categories | address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contact & Social objects from justdial.com. All fields typed and schema-versioned.
"business_id": "080PXX80.XX80.120329154415.M6M5", "phone_primary": "+918022279999", "mobile_1": "+919845012345", "whatsapp_number": "+919845012345", "website_url": "http://nandhinideluxe.com", "contact_person": "Ramesh Reddy", "email_address": "info@nandhinideluxe.com"
| # | business_id | phone_primary | phone_secondary | mobile_1 | mobile_2 | whatsapp_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ratings & Reviews objects from justdial.com. All fields typed and schema-versioned.
"review_id": "REV982374982", "business_id": "080PXX80.XX80.120329154415.M6M5", "author_name": "Suresh Kumar", "rating": 5, "review_date": "2025-10-12", "review_text": "Excellent Andhra meals.", "helpful_votes": 12, "platform_source": "Justdial"
| # | review_id | business_id | author_name | author_url | rating | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from justdial.com. All fields typed and schema-versioned.
"business_id": "080PXX80.XX80.120329154415.M6M5", "monday": "11:00 AM - 11:00 PM", "saturday": "11:00 AM - 11:30 PM", "sunday": "11:00 AM - 11:30 PM", "is_24_hours": false, "timezone": "Asia/Kolkata", "last_updated": "2025-10-15T08:00:00Z"
| # | business_id | monday | tuesday | wednesday | thursday | friday |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Services & Catalogue objects from justdial.com. All fields typed and schema-versioned.
"business_id": "080PXX80.XX80.120329154415.M6M5", "item_id": "ITEM_49281", "item_name": "Chicken Biryani", "price": 280.0, "category": "Main Course", "jd_mart_eligible": false, "availability": true
| # | business_id | item_id | item_name | description | price | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Justdial scraper bypasses font obfuscation and rate limits to extract clean local business data, contact numbers, and reviews.
Extract business names, addresses, categories, coordinates, and operating hours across any Indian city.
Justdial masks phone numbers using custom web fonts. We decode these glyphs to deliver accurate contact details.
Capture JD Verified badges, Trust scores, and establishment years to filter high-quality leads.
Extract full review text, ratings, helpful votes, and owner responses paginated across all listings.
Bypass search pagination limits by traversing dynamic geographic grids to ensure 100% locality coverage.
Map primary and secondary categories precisely as defined by Justdial's internal taxonomy.
Extract URLs for business storefront images, menus, and service catalogues.
Monitor business visibility and sponsored placements for specific local search queries.
Run continuous pipelines at daily or weekly cadences to detect new businesses and rating changes.
Brief in. Clean data out.
Provide target cities, categories, or specific business URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, font decoding modules, and proxy rotation for justdial.com.
Schema validation, null-rate checks, and contact number accuracy validation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Justdial employs aggressive rate limiting and data obfuscation. Here is how we maintain reliable extraction.
Justdial aggressively blocks datacenter IPs. Our crawlers use residential ISP proxies from Indian pools with realistic browser fingerprints and full cookie session management.
Phone numbers on Justdial are masked using dynamic custom web fonts where standard characters are replaced by random glyphs. We map these glyphs in real time to output the correct digits.
Search results are capped at a limited number of pages. We bypass this by dividing cities into micro-grids and querying by specific pincodes and coordinates to achieve full coverage.
Modern Justdial pages rely on client-side rendering. We run full Playwright browser sessions to hydrate the DOM and capture delayed data.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in contact fields and respond before you notice.
Sales teams extract verified contact numbers and business categories to build targeted outreach lists across Indian cities.
Analysts track business density, operating hours, and service availability to identify underserved neighbourhoods.
Brands monitor local competitors, pricing in JD Mart, and customer sentiment via review mining.
Fintech lenders use JD Trust scores, review velocity, and establishment years as signals for SME loan underwriting.
Mapping providers ingest Justdial coordinates, categories, and business names to keep local POI databases updated.
Franchise operators monitor reviews and ratings across hundreds of retail locations from a single dashboard.
"Justdial holds the definitive graph of Indian local commerce, but extracting unmasked contact data requires bypassing complex font obfuscation and aggressive rate limits."
Most teams fail at Justdial scraping because they rely on simple HTTP clients. Reliable extraction demands residential proxies, font-glyph decoding for phone numbers, and spatial grid traversal to bypass pagination caps. DataFlirt handles this infrastructure natively.
Everything supported by our justdial.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows. Custom middleware decodes font obfuscation.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request to prevent rate limiting and IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About justdial.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated business directory data. We do not extract personal user data or bypass authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
Justdial masks contact numbers using custom web fonts that map standard characters to different glyphs. Our pipeline includes a font-decoding module that analyses the font file payload in real time and maps the glyphs back to the correct numeric digits.
Justdial caps search results to a specific number of pages. We bypass this limitation by dividing target cities into geographic micro-grids and querying by specific pincodes and coordinates, ensuring we capture the entire business catalogue.
We can configure pipelines to run at daily, weekly, or monthly cadences. For targeted categories or specific business lists, updates can be processed within hours.
Our smallest packages start at a defined category or city list (typically 10,000 to 50,000 listings) with weekly delivery. We price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 listings as part of the pre-engagement scoping process so you can validate schema fit and contact number accuracy before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off local business dump or a continuous lead generation feed across Indian cities: we scope, build, and operate the pipeline. Tell us what you need.
