Monitor Tokopedia price, stock, and reviews with one API

Track product pricing, availability, and customer sentiment across Tokopedia shops — delivered as structured JSON, no HTML scraping required.

The problem

Sellers, brands, and market researchers need continuous visibility into Tokopedia: price wars, stock-outs, review trends, competitor launches. Building it in-house means wrestling with CAPTCHA, anti-bot JS, and a DOM that changes weekly. Most teams give up and rely on stale weekly CSV exports.

The solution

Omnidata returns Tokopedia product data as clean JSON on every call. Point at a product URL, get back price, stock indicator, rating, review count, and shop info — instantly typed and validated. Reviews come paginated with reviewer, rating, content, and date. No parsing, no DOM chasing.

Track competitor pricing

POST to /v1/tokopedia/product with a list of product URLs. Every poll returns current price, stock, and rating. Store the timestamped response in your DB to build a time-series of price changes.

Try this endpoint

curl -X POST "https://api.omnidata.id/v1/tokopedia/product" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"url": "https://tokopedia.com/shop/product-slug"}'

# Returns: { "job_id": "...", "poll_url": "/v1/jobs/..." }
# Then: GET /v1/jobs/{job_id} until status == "completed"

Monitor reviews and sentiment

Reviews API returns paginated reviews with rating, date, and full content. Pipe the content through /v1/sentiment/batch to get Indonesian-aware sentiment scores — flag negative clusters before they become PR incidents.

Try this endpoint

curl -X POST "https://api.omnidata.id/v1/tokopedia/product-reviews" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"url": "https://tokopedia.com/shop/product-slug", "max_pages": 5}'

# Pipe reviews through sentiment analysis:
curl -X POST "https://api.omnidata.id/v1/sentiment/batch" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"items": [{"text": "Barang bagus, pengiriman cepat"}]}'

Sample JSON output

JSON

{
  "status": "completed",
  "result": {
    "product": {
      "name": "Kopi Arabika Premium 250g",
      "price": "Rp 85.000",
      "rating": 4.8,
      "review_count": 1243,
      "sold_count": "5rb+",
      "stock_status": "in_stock",
      "image_url": "https://images.tokopedia.net/...",
      "shop": {
        "name": "KopiLokal Official",
        "rating": 4.9,
        "location": "Jakarta Pusat"
      }
    }
  }
}

Pricing breakdown

Product detail = 1 credit per product. Reviews = 1 credit per 10 reviews. Monitoring 100 products daily (price + 50 latest reviews each) costs ~6,000 credits/month ≈ Rp 240,000.

Frequently asked questions

How fresh is the data?: Every API call triggers a live scrape. Response data reflects Tokopedia's state at request time.
Do you handle CAPTCHA and anti-bot?: Yes. Proxy rotation, fingerprint evasion, and retry logic are all handled internally. You just call the endpoint.
Can I monitor private seller dashboards?: No. We only access data that's publicly visible on product and shop pages.
What's the rate limit?: Calls are queued internally with per-platform cool-downs. You can submit as fast as you want; jobs process at safe intervals.

Ready to build?

Start free Read API docs

Track competitor pricing

POST to /v1/tokopedia/product with a list of product URLs. Every poll returns current price, stock, and rating. Store the timestamped response in your DB to build a time-series of price changes.

Try this endpoint

curl -X POST "https://api.omnidata.id/v1/tokopedia/product" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"url": "https://tokopedia.com/shop/product-slug"}'

# Returns: { "job_id": "...", "poll_url": "/v1/jobs/..." }
# Then: GET /v1/jobs/{job_id} until status == "completed"

Monitor reviews and sentiment

Try this endpoint

curl -X POST "https://api.omnidata.id/v1/tokopedia/product-reviews" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"url": "https://tokopedia.com/shop/product-slug", "max_pages": 5}'

# Pipe reviews through sentiment analysis:
curl -X POST "https://api.omnidata.id/v1/sentiment/batch" \
  -H "Authorization: Bearer omd_live_..." \
  -H "Content-Type: application/json" \
  -d '{"items": [{"text": "Barang bagus, pengiriman cepat"}]}'

Sample JSON output

JSON

{
  "status": "completed",
  "result": {
    "product": {
      "name": "Kopi Arabika Premium 250g",
      "price": "Rp 85.000",
      "rating": 4.8,
      "review_count": 1243,
      "sold_count": "5rb+",
      "stock_status": "in_stock",
      "image_url": "https://images.tokopedia.net/...",
      "shop": {
        "name": "KopiLokal Official",
        "rating": 4.9,
        "location": "Jakarta Pusat"
      }
    }
  }
}

Frequently asked questions

How fresh is the data?

Every API call triggers a live scrape. Response data reflects Tokopedia's state at request time.

Do you handle CAPTCHA and anti-bot?

Yes. Proxy rotation, fingerprint evasion, and retry logic are all handled internally. You just call the endpoint.

Can I monitor private seller dashboards?

No. We only access data that's publicly visible on product and shop pages.

What's the rate limit?

Calls are queued internally with per-platform cool-downs. You can submit as fast as you want; jobs process at safe intervals.