Shopsy Scraper: Flipkart Value Marketplace Data avatar

Shopsy Scraper: Flipkart Value Marketplace Data

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from $0.74 / 1,000 product records

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Shopsy Scraper: Flipkart Value Marketplace Data

Shopsy Scraper: Flipkart Value Marketplace Data

Scrape product listings from Shopsy, Flipkart's value marketplace in India. Get titles, brand, price, MRP, discount, rating, review counts, stock state, and high-resolution images. Filter by price and sort order, then export to Excel, Google Sheets, CSV, or JSON.

Pricing

from $0.74 / 1,000 product records

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4.4

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GetAScraper

GetAScraper

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๐Ÿ›๏ธ Shopsy Products Scraper

Turn public Shopsy listings into product intelligence your team can use.

Collect clean prices, MRP, discounts, ratings, stock state, and media. Add public listing or seller detail only when your workflow needs it.
๐Ÿ“ˆ Compare prices
Track selling price, MRP, and discounts in one row.
๐Ÿท๏ธ Keep clean IDs
Add published product and listing identifiers when needed.
๐Ÿงพ Check details
Optionally collect seller, offers, and specifications.
โญ Understand feedback
Add public rating totals and feedback aspects on request.

Shopsy is Flipkart's value marketplace for India. This Actor turns public Shopsy result pages into flat, spreadsheet-ready product records for price tracking, catalog research, and market analysis.

๐Ÿ” What does Shopsy Products Scraper do?

Start with a keyword or a public Shopsy result URL. Each standard row keeps the useful columns together: product title, brand, price, MRP, discount, ratings, availability, and product media.

Need more context? Turn on source metadata to add published listing identifiers, buying state, grade, tags, flags, order limits, and media links. Product details remain optional and bounded, so a normal catalog run stays focused.

๐Ÿ’ก Who uses this Shopsy product data?

  • Price-monitoring teams compare Shopsy selling prices and discounts against their own catalog.
  • Marketplace analysts measure brand visibility, product ratings, and stock signals across budget categories.
  • Retail researchers build a clean India ecommerce dataset without reformatting every result page.
  • Sourcing teams inspect public seller, offer, and specification data for a focused set of products.

๐Ÿš€ How it works

1. Choose a source
Enter a keyword or paste public Shopsy result URLs.
2. Select the depth
Keep normalized rows, then opt into metadata or details.
3. Use the dataset
Export product records to the tools your team already uses.

โš™๏ธ Input

FieldTypeRequiredDescription
startUrlsarray of URLsNoPublic Shopsy search, category, or brand result URLs. These take priority over a keyword.
querystringNoKeyword used when no URL is supplied.
sortByenumNoPublic source order for keyword searches.
minPriceintegerNoMinimum keyword-search price in INR.
maxPriceintegerNoMaximum keyword-search price in INR.
includeSourceMetadatabooleanNoAdds public listing IDs, buying state, grade, tags, flags, order limits, and media URLs.
fetchDetailsbooleanNoAdds public seller, return policy, offer, specification, and variant fields.
includeReviewInsightsbooleanNoAdds public rating totals and feedback aspects. It also fetches product details.
maxItemsintegerNoMaximum normalized product rows across the entire run.
maxDetailItemsintegerNoMaximum rows enriched with product details or review insights.
proxyConfigurationobjectNoOptional connection settings for the run.

๐Ÿ“ฆ Data table

One row is one Shopsy product. Empty or unavailable source values are omitted rather than guessed.

FieldTypeDescription
product_idstringStable public product identifier.
listing_idstringPublic listing identifier, included with source metadata.
titlestringProduct title shown by Shopsy.
brandstringPublished product brand.
pricenumberCurrent published selling price in INR.
mrpnumberPublished maximum retail price in INR.
discount_percentnumberPublished discount percentage.
ratingnumberPublished product rating.
review_countnumberPublished written-review total.
availabilitystringPublished availability state.
source_media_urlsarrayPublic media URLs, included with source metadata.
seller_namestringPublic seller name, included with product details when published.
product_specificationsarrayPublic product specification groups, included with product details.
variantsarrayPublic variant product IDs, selected attributes, availability, and links.
variant_count / available_variant_countnumberTotal published variants and those currently marked available.
detail_statusstringWhether optional product detail was available for that row.
detail_failure_reasonstringPlain-language reason when optional detail was unavailable.
review_positive_aspectsarrayPublic feedback aspects, included when review insights are requested.
product_urlstringDirect public product page URL.

๐Ÿ’ฐ Pricing

Pricing is pay per result. You are billed for product rows saved to your dataset. Empty runs cost nothing, and there are no subscriptions.

โญ Enjoying Shopsy Products Scraper?

โญ โญ โญ โญ โญ
Did the product data save your team time?
A review helps other price-monitoring and market-research teams find the right Shopsy workflow.
โ˜…ย ย Share your experience on Apify

โ“ Frequently asked questions

Can I use a Shopsy category URL instead of a keyword?

Yes. Paste a public Shopsy search, category, or brand result URL. The Actor uses that result collection as provided.

Does detail mode return every product detail page?

No. Detail mode is intentionally bounded by your maximum detail setting. This keeps a broad catalog run focused while you enrich a selected set of rows.

Does review insights include review text?

No. It returns only public rating totals and available feedback aspects. It does not invent missing reviews or extract private account information.

What happens when one product detail page is unavailable?

The normalized product row is still returned. Its detail status explains that optional detail was unavailable, and the run summary records the affected URL.

๐Ÿ”— Other actors