Pricing

Rating

Developer

Actor stats

Categories

Share

Tokopedia Reviews Scraper

Extract Tokopedia product reviews quickly and turn them into structured, analysis-ready datasets. Collect reviewer feedback, ratings, variants, media counts, and timestamps in one run. Great for product research, seller monitoring, and customer sentiment analysis.

Features

• Review Collection — Gather reviews from Tokopedia product pages with consistent structured output.
• Simple Inputs — Run with a product URL or direct product ID.
• Pagination Controls — Control volume using results_wanted and max_pages.
• Sorting Options — Choose newest, most helpful, highest rating, or lowest rating.
• Clean Dataset Output — Null and empty values are removed for cleaner exports.

Use Cases

Product Quality Research

Analyze what buyers consistently praise or complain about before deciding inventory or marketing angles. Review data helps identify recurring quality signals fast.

Competitor Monitoring

Track review trends on competitor products over time. Spot shifts in satisfaction, common issues, and review momentum.

Customer Sentiment Analysis

Build datasets for sentiment scoring and theme extraction. Use ratings, review text, and variants to map buyer experience.

Marketplace Reporting

Create periodic reports for teams that need clear review KPIs. Export data to BI dashboards, spreadsheets, or internal tools.

Input Parameters

Input priority:

1. product_id
2. product_url
3. Fallback to INPUT.json only when user input is empty

Output Data

Each dataset item contains flattened review fields:

Usage Examples

Product URL Run

{
"product_url":"https://www.tokopedia.com/toko-hijab-jasmine/pashmina-kaos-bahan-cotton-rayon-bahan-adem-ringan-dan-lembut-pashmina-kaos-jasmine-1729666273262209327",
"results_wanted":30,
"max_pages":5,
"sort_by":"create_time desc"
}

Product ID Run

{
"product_id":"100018999468",
"results_wanted":20,
"max_pages":2,
"sort_by":"informative_score desc"
}

Rating-Based Sorting

{
"product_url":"https://www.tokopedia.com/toko-hijab-jasmine/pashmina-kaos-bahan-cotton-rayon-bahan-adem-ringan-dan-lembut-pashmina-kaos-jasmine-1729666273262209327",
"results_wanted":50,
"max_pages":10,
"sort_by":"rating desc"
}

Sample Output

{
"product_id":"100018999468",
"product_url":"https://www.tokopedia.com/toko-hijab-jasmine/pashmina-kaos-bahan-cotton-rayon-bahan-adem-ringan-dan-lembut-pashmina-kaos-jasmine-1729666273262209327",
"product_name":"Jasmine Pashmina Kaos Bahan Cotton Rayon Adem Ringan Lembut Ukuran 175x60 cm - Black",
"shop_name":"Toko hijab jasmine",
"review_id":"1469897442",
"page":1,
"position":1,
"rating":5,
"variant_name":"Brownie",
"review_text":"Bagus banget sesuai ekspektasi...",
"buyer_name":"R***u",
"likes_count":1,
"images_count":4,
"videos_count":0,
"review_time_relative":"12 bulan lalu",
"review_time_iso":"2025-05-20T17:39:41.000Z",
"sort_by":"informative_score desc",
"source_type":"product_url",
"fetched_at":"2026-05-16T08:23:33.387Z"
}

Tips for Best Results

Start With Focused Limits

• Begin with results_wanted between 20 and 50 for validation.
• Increase limits only after confirming output quality.

Use Stable Product Targets

• Use product URLs that already have visible customer reviews.
• For automation pipelines, use product_id for consistent targeting.

Use Proxies for Scale

• Enable proxies for higher run stability in larger or repeated jobs.
• Combine scheduled runs with sensible pagination limits.

Integrations

Connect your review dataset with:

• Google Sheets — Share review summaries with teams.
• Airtable — Build searchable product feedback databases.
• Looker Studio / BI tools — Visualize trends and sentiment metrics.
• Webhooks — Trigger downstream automations after each run.

Export Formats

• JSON — For APIs and developer workflows.
• CSV — For spreadsheets and quick analysis.
• Excel — For stakeholder reporting.

Frequently Asked Questions

Why do some runs return fewer reviews than requested?

The actor stops when no more pages or reviews are available for that product and sort combination.

Can I run with only product ID?

Yes. product_id is supported and takes priority when both ID and URL are provided.

Are empty fields included in output?

No. Null and empty values are removed before saving dataset items.

Does sorting change the review list?

Yes. Different sort_by options can produce different review order and selections.

Can I schedule recurring runs?

Yes. You can schedule daily or hourly runs to track changes over time.

Support

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

Resources

• Apify Documentation
• Apify API Reference

Legal Notice

Use this actor responsibly and ensure compliance with Tokopedia terms and applicable laws. You are responsible for lawful and ethical data usage.