Target Product Reviews Scraper

Extract detailed guest ratings and reviews from a single Target product page. Collect review text, star ratings, reviewer signals, media links, and aggregate rating metrics in a clean dataset ready for analysis and automation.

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Features

• Single-product focus - Collect review data for one Target product URL or TCIN per run.
• Deep review coverage - Capture title, text, rating, author nickname, badges, votes, timestamps, and media links.
• Auto key resolution - Automatically resolves the review endpoint key from the product page configuration.
• Reliable pagination - Collect reviews page by page until the requested result limit is reached.
• Null-free output - Empty and null fields are removed from each dataset item.

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Use Cases

Product Quality Audits

Track recurring complaints and positive themes across review text to spot fit, quality, or durability issues quickly.

Voice of Customer Dashboards

Build structured datasets for BI tools and monitor rating shifts, recommendation rate changes, and review volume trends.

Merchandising Decisions

Compare customer sentiment and review momentum before promoting products in campaigns or seasonal assortments.

Competitive Content Analysis

Analyze review language, image usage, and verified buyer behavior across products in the same category.

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Input Parameters

Parameter	Type	Required	Default	Description
productUrl	String	No	Example prefill	Target product URL containing /A-<TCIN>.
productId	String	No	Example prefill	Optional TCIN override (takes precedence over URL parsing).
results_wanted	Integer	No	20	Maximum number of reviews to collect.
proxyConfiguration	Object	No	Disabled	Proxy settings for reliability.

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Output Data

Each dataset item can include:

Field	Type	Description
product_id	String	Product TCIN used for the run.
product_url	String	Product URL for the review source.
review_id	String	Unique review identifier.
rating	Integer	Star rating value.
title	String	Review title.
text	String	Full review text.
author_nickname	String	Public reviewer nickname.
is_verified	Boolean	Verified purchaser signal.
is_recommended	Boolean	Whether reviewer recommends the product.
photos	Array	Review photo URLs when available.
videos	Array	Review video URLs when available.
feedback_helpful	Integer	Helpful votes count.
feedback_unhelpful	Integer	Unhelpful votes count.
submitted_at	String	Original submission timestamp.
modified_at	String	Last modification timestamp.
statistics_average_rating	Number	Product average rating at scrape time.
statistics_rating_count	Integer	Product total rating count.
statistics_review_count	Integer	Product total review count.
statistics_rating_distribution	Object	Distribution of rating counts by star level.
page	Integer	Source page index for the review.
position	Integer	Sequential output position in the run.
scraped_at	String	Timestamp when this record was saved.

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Usage Examples

Collect All Reviews From Product URL

{
	"productUrl": "https://www.target.com/p/women-s-slim-fit-modern-ribbed-button-front-tank-top-a-new-day/-/A-94913194",
	"results_wanted": 61
}

Collect By Product ID

{
	"productId": "94913194",
	"results_wanted": 20
}

Collect With Proxy Configuration

{
	"productUrl": "https://www.target.com/p/women-s-slim-fit-modern-ribbed-button-front-tank-top-a-new-day/-/A-94913194",
	"results_wanted": 40,
	"proxyConfiguration": {
		"useApifyProxy": true,
		"apifyProxyGroups": ["RESIDENTIAL"]
	}
}

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Sample Output

{
	"product_id": "94913194",
	"product_url": "https://www.target.com/p/women-s-slim-fit-modern-ribbed-button-front-tank-top-a-new-day/-/A-94913194",
	"position": 1,
	"page": 0,
	"review_id": "1d44b330-317a-4e69-829a-ef7b9fb39a2d",
	"rating": 5,
	"title": "Great top",
	"text": "Love this tank top. It fits perfectly and feels great.",
	"author_nickname": "Christina",
	"is_recommended": true,
	"is_verified": false,
	"feedback_helpful": 0,
	"submitted_at": "2026-04-05T16:09:21+05:00",
	"statistics_average_rating": 3.56,
	"statistics_rating_count": 101,
	"statistics_review_count": 61,
	"scraped_at": "2026-04-07T10:00:00.000Z"
}

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Tips For Best Results

Start With Default Limits

Use the default values first to validate data quality quickly, then expand review volume after confirming output.

Use Target Product URLs

Provide full product URLs with /A-<TCIN> to avoid ID ambiguity and reduce setup errors.

Segment Review Runs

Use multiple runs with different product IDs and result limits to build larger review datasets safely.

Use Proxy For Stability

For larger runs or scheduled workflows, enable residential proxy settings for consistent collection.

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Integrations

• Google Sheets - Share review datasets with non-technical teams.
• Airtable - Build searchable review intelligence tables.
• Make - Trigger downstream workflows after each run.
• Zapier - Send review updates into CRM and support tools.
• Webhooks - Stream fresh review data to custom systems.

Export Formats

• JSON - Data engineering and API workflows
• CSV - Spreadsheet analysis
• Excel - Reporting and presentations
• XML - Legacy system integrations

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Frequently Asked Questions

Can I scrape by product ID only?

Yes. Set productId and run without a URL.

How do I fetch all reviews?

Set results_wanted to a value higher than expected review count. The actor paginates until it reaches the limit or runs out of pages.

Why do some fields appear on some reviews only?

Review content varies by reviewer activity. The actor saves only fields that are present and non-empty.

Can I filter to only high ratings?

No. This version collects all available ratings in source order.

Does this include review photos?

Yes. When available, photo URLs are included in the photos field.

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Support

For issues or feature requests, use Apify Console support channels.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection and analysis. You are responsible for using the data in compliance with applicable terms and laws.