Justdial & Sulekha Data Scraper
Budget / Salary₹600–1,500
TypeFreelance project
LocationRemote
Posted3 hours ago
I need fresh business contact data pulled from Justdial, Sulekha, or any similar Indian directory. For each listing, I only require three fields—business name, phone number, and full address—nothing more at this stage.
Scope of businesses
Please include three broad groups so the file is useful across campaigns:
• Restaurants, hotels, and other food-service outlets
• Home services such as plumbers, electricians, cleaning, etc.
• Professional services such as doctors, lawyers, accountants, and related practices
Geography
The scrape should target a handful of specific Indian cities. I’ll share the exact list (roughly 5-7 metro and tier-2 locations) once we start so you can tune your crawler accordingly.
Deliverables
1. A clean, deduplicated CSV or Excel file containing the requested fields for every matched listing.
2. The scraping script or notebook (Python, Scrapy, BeautifulSoup, Selenium, or any tool you prefer) with basic setup instructions so I can re-run it later if needed.
3. A brief note on how you handled rate limits, captchas, and any anti-scraping measures on each site.
Acceptance criteria
• Minimum 90 % of rows must have all three fields populated.
• No obvious duplicates across the final file.
• Script runs end-to-end on my system after package install.
Let me know your approach and estimated turnaround time, and we can start right away.
Scope of businesses
Please include three broad groups so the file is useful across campaigns:
• Restaurants, hotels, and other food-service outlets
• Home services such as plumbers, electricians, cleaning, etc.
• Professional services such as doctors, lawyers, accountants, and related practices
Geography
The scrape should target a handful of specific Indian cities. I’ll share the exact list (roughly 5-7 metro and tier-2 locations) once we start so you can tune your crawler accordingly.
Deliverables
1. A clean, deduplicated CSV or Excel file containing the requested fields for every matched listing.
2. The scraping script or notebook (Python, Scrapy, BeautifulSoup, Selenium, or any tool you prefer) with basic setup instructions so I can re-run it later if needed.
3. A brief note on how you handled rate limits, captchas, and any anti-scraping measures on each site.
Acceptance criteria
• Minimum 90 % of rows must have all three fields populated.
• No obvious duplicates across the final file.
• Script runs end-to-end on my system after package install.
Let me know your approach and estimated turnaround time, and we can start right away.
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