Quikr Product Scraper

Extract comprehensive furniture listings and product details from Quikr with ease. Collect detailed data including titles, prices, conditions, and locations at scale. Perfect for market research, price monitoring, and competitive analysis.

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Features

• Flexible inputs — Scrape data using direct categories, custom search keywords, or specific cities.
• Detailed data extraction — Capture prices, images, condition ratings, and seller descriptions.
• Sponsored listing detection — Differentiate regular ads from promoted listings automatically.
• Data deduplication — Cleanse duplicate ads to guarantee a unique and accurate dataset.

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Use Cases

Competitive Pricing

Monitor competitor pricing trends in real-time. Optimize your own pricing strategies by matching current market values.

Product Sourcing

Identify high-demand furniture types and popular products. Source items that align with current buyer preferences.

Location Analysis

Compare regional supply and demand across cities. Uncover geographical opportunities and market gaps.

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Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	—	Quikr category or browse URL
keyword	String	No	—	Custom search term to filter listings
location	String	No	"India"	Location or city to filter by
results_wanted	Integer	No	50	Maximum number of listings to retrieve
max_pages	Integer	No	1	Maximum pages of results to scrape
proxyConfiguration	Object	No	{"useApifyProxy": false}	Network proxy settings

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Output Data

Each scraped listing includes:

Field	Type	Description
ad_id	String	Unique listing identifier
title	String	Title of the product
url	String	Direct link to the listing
price	Number	Numeric price value
condition	String	Item condition state
city	String	City where listed
is_sponsored	Boolean	If the ad is sponsored

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Usage Examples

Category Scrape

Retrieve furniture listings from a specific category:

{
  "url": "https://www.quikr.com/home-lifestyle/Home-Office-Furniture+India+y56f",
  "results_wanted": 20
}

Search by Keyword

Extract items matching a specific search term:

{
  "keyword": "Sofa Sets",
  "location": "Delhi",
  "results_wanted": 15
}

High-Volume Extraction

Extract multiple pages of listings with proxies enabled:

{
  "keyword": "Office Chair",
  "results_wanted": 100,
  "max_pages": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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Sample Output

{
  "ad_id": "374829103",
  "title": "Modern Wooden Sofa Set 5 Seater",
  "url": "https://www.quikr.com/home-lifestyle/modern-wooden-sofa-set...",
  "price": 15000,
  "condition": "Like New",
  "city": "Delhi",
  "is_sponsored": false
}

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Tips for Best Results

Specify Precise Locations

• Provide city names for localized results.
• Leave location default to search nationwide.

Manage Scrape Limits

• Start with lower result counts to test.
• Adjust max pages according to available items.

Use Direct Browse URLs

• Input category URLs for maximum scraping accuracy.
• Filter category views directly before starting the scraper.

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Integrations

Connect your data with:

• Google Sheets — Export directly to spreadsheets
• Airtable — Build searchable custom databases
• Slack — Send automated alerts and updates

Export Formats

• JSON — Developer-friendly data feeds
• CSV — Spreadsheet analysis and reporting

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Frequently Asked Questions

How many listings can I scrape?

You can scrape all matching listings up to your specified target count.

Do I need a proxy?

Proxies are optional but recommended for high-volume scrapes to prevent rate limits.

Can I scrape multiple pages?

Yes, specify higher page limits to scrape past the first page.

What fields are captured?

Titles, prices, locations, conditions, image URLs, and other key details.

Can I filter by category?

Yes, use a category URL to target specific product groups.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference

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Legal Notice

This tool is for legitimate data collection. Users are responsible for complying with terms of service and applicable local laws.