Blibli Merchant Profile & Inventory Scraper

Map any competitor's storefront on Blibli in one run: their full product inventory, seller ratings, response speed, shipping origin, follower count, review statistics and active vouchers.

Paste a store URL — or any product link from that store — and get one flat profile row plus the catalogue.

No login, no API key. HTTP-only — no browser.

What you get per competitor

{
  "recordType": "MERCHANT_PROFILE",
  "merchantCode": "COP-60023",
  "merchantName": "Colgate Palmolive Indonesia Flagship Store",
  "isOfficial": true,
  "activationDateIso": "2018-05-11T03:27:00Z",

  "badgeId": "Diamond",
  "badgeRating": 99,
  "respondTimeRating": 5.0,
  "productQualityRating": 5.0,
  "orderFulfillmentRating": 5.0,
  "fastCustomerResponseRating": 100,
  "fastFulfillmentRating": 100,
  "orderCompletedRating": 99,
  "positiveFeedbackRating": 99,

  "province": "DKI Jakarta",
  "pickupPointCity": "Kota Bekasi",
  "pickupPointAddress": "Gudang Blibli.com, Komplek Pergudangan ...",
  "pickupPointLatLong": "-6.2038743,106.9686089",
  "fulfilledByBlibli": true,
  "businessHours": [{ "day": "MONDAY", "openingTime": "00.00", "closingTime": "23.59", "open": true }],

  "totalFollowers": 12427,
  "totalReviews": 68842,
  "averageRating": 4.9,
  "negativeSharePercent": 0.72,
  "reviewTopicCounts": { "QUALITY": 1181, "PRICE": 1006, "SHIPMENT": 935 },

  "productCount": 154,
  "voucherCount": 27,
  "vouchers": [{ "title": "Diskon Rp10.000", "minCriteria": "Min. transaksi Rp100.000", "endDateIso": "..." }]
}

Plus one PRODUCT record per catalogue item:

{
  "recordType": "PRODUCT",
  "sku": "COP-60023-00892",
  "name": "Colgate Optic White Purple Toothpaste [100 g] x 3 Pcs",
  "salePrice": 88500,
  "listPrice": 169200,
  "discountPercent": 48,
  "rating": 4,
  "reviewCount": 128,
  "soldCount": 2380,
  "storeLocation": "Kota Bekasi",
  "categories": ["Kesehatan & Kecantikan", "Perawatan Gigi & Mulut"]
}

Benchmarking competitors

List several stores and you get a directly comparable row each:

Store	Badge	Response	Ships from	Followers	Products	Vouchers
Colgate Palmolive	Diamond	5.0	Kota Bekasi	12,427	154	27
adidas Sports	Diamond	5.0	Kab. Bekasi	43,161	3,112	25

respondTimeRating and fastCustomerResponseRating answer "how responsive is this seller", pickupPointCity and fulfilledByBlibli answer "how fast can they deliver to my customers", reviewTopicCounts answers "what do their buyers keep bringing up", and soldCount across the catalogue is the closest public proxy for their actual demand.

Input

{
  "storeUrls": [
    "https://www.blibli.com/merchant/colgate-palmolive-indonesia-flagship-store/COP-60023",
    "ADS-12698",
    "COP-60023-00933"
  ],
  "includeProducts": true,
  "catalogCoverage": "standard"
}

Field	Description
storeUrls	Store URL, bare store code, or any product URL/SKU from the store — the store code is the SKU's prefix
includeProducts	Emit the catalogue. On by default; turn off for a fast profile-only run
catalogCoverage	standard (one sweep, up to 800) or deep (extra sort + price-band sweeps for large stores)
maxProductsPerStore	Cap per store (0 = no limit)
includeReviewStats	Add rating histogram + review topic counts. On by default
includeVouchers	Add active vouchers. On by default
proxyConfiguration	Apify Residential + country ID recommended

Known limits

• Very large catalogues cannot be fully enumerated. Blibli's search serves at most 800 products per query. deep coverage adds sort and price-band sweeps, reaching 2,271 of 3,112 products on the largest store tested. productCount on the profile always reports the true catalogue size, so you can see what fraction a run retrieved.
• No absolute stock levels. soldCount is the demand signal Blibli exposes.
• Badge scores are calculated over a rolling window (badgeCalculationDays, 180 in samples), so they lag very recent performance changes.
• A store code that does not exist is reported as a STORE_NOT_FOUND error row rather than silently producing an all-zero profile — Blibli returns HTTP 200 for made-up codes.

Reliability

Blibli sits behind Cloudflare, and the merchant-profile endpoint additionally blocks specific TLS fingerprints — Chrome profiles get a 403 there while every other endpoint works fine on them. This actor leads with a fingerprint verified against all five endpoints it uses, and a test guards that ordering so it cannot regress. On a block it retries with exponential backoff, rotating both fingerprint and (with a proxy) egress IP.

A failing store never sinks the run: it emits an ERROR record with _error and _errorDetail, and the remaining stores continue.

See CRAWLING_METHOD.md for the full fingerprint matrix, the endpoints that looked useful but were not, and the measured catalogue-partition results.