Agent skill

1688 Product Detail Extractor

by browser-act in browser-act/skills

Extracts wholesale product data from 1688.com offer pages, including tiered prices, SKU variants, seller info, promotions and review stats, with bundled Python scripts.

MITAuto-check passedData & Analytics

Install 1688 Product Detail Extractor

skills CLI
$ npx skills add browser-act/skills --skill 1688-product-detail -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install browser-act/skills 1688-product-detail --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/ecommerce/1688-product-detail .claude/skills/1688-product-detail && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
1688-product-detail
GitHub stars
6.1k
Token cost
~3.3k tokens
SKILL.md length
937 words
Files
5 (incl. scripts)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

Extracts wholesale product data from 1688.com offer pages, including tiered prices, SKU variants, seller info, promotions and review stats, with bundled Python scripts.

  • Works in 4 steps: wait stable → network requests --type xhr,fetch… → Find request with URL containing… → …
  • Pulling price tiers and SKU variants from a 1688 offer
  • SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 7 more sections
  • Runs Python scripts from its folder; calls python; reaches detail.1688.com and shop1460393846166.1688.com

What it does

With a 1688.com product page open in the browser, the agent pulls more than 50 fields from embedded page data and network capture: title, tiered pricing, images, seller stats, attributes, cross-border flags, buyer protection and review stats. Separate scripts handle each area, with extract-product-detail.py for core data, extract-sku-details.py for color and model variants with weight and dimensions, extract-promotions.py for coupons and extract-seller-params.py for the seller shop card. Each prints JavaScript that is run with eval in bash, given the numeric offer ID.

Product pages need no login, since the data is publicly shown, and the skill only reads what the page already displays without bypassing any access controls. It depends on the browser-act tool, which it loads first through the Skill tool, and progress messages follow the user's language. Typical uses are bulk collection from a list of offer IDs, monitoring supplier metrics and reading price tiers for resale analysis.

When your agent uses it

  • Pulling price tiers and SKU variants from a 1688 offer
  • Collecting supplier metrics such as shop scores
  • Bulk scraping product data from a list of 1688 offer IDs
  • Comparing coupons and promotions on a 1688 listing

Example prompts

  • “Extract the full product detail for 1688 offer 927875250705.”
  • “Get the SKU variants with weight and dimensions for this 1688 listing.”
  • “Pull the seller shop scores and buyer protection info for these offers.”

Requirements

  • The browser-act tool
  • Python 3, to run the extraction scripts
  • bash, since the scripts are run through eval

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. wait stable
  2. network requests --type xhr,fetch --filter h5api.m.1688.com
  3. Find request with URL containing mtop.1688.moga.pc.shopcard
  4. network request

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • detail.1688.com
    • shop1460393846166.1688.com
    • cbu01.alicdn.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

1688 Product Detail Extractor loads about 3.3k tokens when it runs. Until then it costs about 215 tokens; SKILL.md has 937 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~215
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 937 words, ~3,259 tokens.

Download SKILL.mdSave it as .claude/skills/1688-product-detail/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
1688-product-detail
description
Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.

1688.com — Product Detail Extraction

Navigate to a 1688 product page → extract 50+ fields including pricing tiers, SKU variants, seller stats, attributes, promotions

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Extract complete wholesale product data from a 1688.com offer detail page using embedded page data and network capture for supplier metrics.

Prerequisites

  • Target product detail page is open in the browser: https://detail.1688.com/offer/{offer_id}.html
  • No login required for product detail pages (data is publicly accessible)

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

DOM: Extract core product data (title, pricing, images, seller, flags)

After navigating to the product page and waiting for page load:

eval "$(python scripts/extract-product-detail.py '{offer_id}')"

Parameters:

  • offer_id: Numeric 1688 offer/product ID (e.g., 927875250705)

Output example:

json
{
  "offerId": "927875250705",
  "title": "新款苹果18promax手机壳磁吸...",
  "unit": "个",
  "category": { "topCategoryId": 7, "postCategoryId": 132918005 },
  "pricing": {
    "tiers": [
      { "minQty": "30", "price": "7.99" },
      { "minQty": "100", "price": "7.79" }
    ],
    "priceDisplayType": "range",
    "minOrderQty": 30,
    "currency": "CNY"
  },
  "sales": {
    "totalSold": 308417,
    "displaySaleNum": "10万+",
    "saleCountLabel": "全网销量"
  },
  "images": ["https://cbu01.alicdn.com/img/ibank/...jpg"],
  "attributes": {
    "材质": "优质TPU",
    "款式": "后盖款",
    "功能": "防震,磁吸,防磨,防摔",
    "适用型号": "iPhone17,iphone17pro..."
  },
  "skuCount": 339,
  "skuWeightData": [
    { "weight": 40, "length": 17, "width": 7, "height": 1, "volume": 119 }
  ],
  "seller": {
    "companyName": "佛山市南海区三丰手机配件有限公司",
    "loginId": "fssf06",
    "memberId": "b2b-2850655109d72ea",
    "userId": 2850655109,
    "shopUrl": "https://shop1460393846166.1688.com",
    "cardType": "cjgc",
    "isPmPlus": true,
    "serviceScore": "4.5分",
    "buyerRepeatRate": "65.82%"
  },
  "offerFlags": {
    "isSkuOffer": true,
    "isPreSell": false,
    "isConsignMarketOffer": true,
    "isDistribution": true,
    "isChtOffer": true,
    "isBuyerProtection": true
  },
  "crossBorder": {
    "foreignLanguagePackageAvailable": true,
    "boxMarkAvailable": true,
    "fbaLabelAvailable": true
  },
  "guarantees": ["买家保障", "正品保障"],
  "descriptionUrl": "https://detail.1688.com/...",
  "offerMemberTags": [4336705, 519170],
  "sellerWinportUrlMap": {}
}
DOM: Extract SKU variants (color/model combinations with weight/dimensions)

eval "$(python scripts/extract-sku-details.py '{offer_id}')"

Parameters:

  • offer_id: Numeric 1688 offer/product ID

Output example:

json
{
  "offerId": "927875250705",
  "skuCount": 339,
  "skuRangePrices": [
    { "price": "7.99", "beginAmount": "30" },
    { "price": "7.79", "beginAmount": "100" }
  ],
  "skus": [
    {
      "skuId": 5833485852524,
      "specId": "...",
      "attrs": { "颜色": "黑色", "适用型号": "iPhone17" },
      "saleCount": 0,
      "canBookCount": 9999,
      "isPromotionSku": false,
      "packInfo": { "weight": 40, "length": 17, "width": 7, "height": 1, "volume": 119 }
    }
  ],
  "skuImageMap": {}
}
DOM: Extract coupon and promotion data

eval "$(python scripts/extract-promotions.py '{offer_id}')"

Parameters:

  • offer_id: Numeric 1688 offer/product ID

Output example:

json
{
  "offerId": "927875250705",
  "coupons": [
    { "couponType": "INTERACT", "couponContent": "满100减5券" }
  ],
  "promotionModel": {
    "buttonName": "领券",
    "promotionList": [
      {
        "type": "INTERACT",
        "name": "互动优惠券",
        "summary": "入会有礼券",
        "promotionItems": [
          {
            "label": "满100减5券",
            "availablePeriod": "有效期:2026.05.28 00:00:00-2026.11.24 23:59:59",
            "canApply": true
          }
        ]
      }
    ]
  },
  "activity": {
    "activityType": null,
    "activityName": null,
    "activityUrl": null,
    "countdown": null,
    "activityId": null
  },
  "bannerImage": ""
}
DOM: Extract seller params (for shopcard network capture)

eval "$(python scripts/extract-seller-params.py '{offer_id}')"

Parameters:

  • offer_id: Numeric 1688 offer/product ID

Output example:

json
{
  "offerId": "927875250705",
  "seller": {
    "companyName": "佛山市南海区三丰手机配件有限公司",
    "loginId": "fssf06",
    "memberId": "b2b-2850655109d72ea",
    "userId": 2850655109,
    "shopUrl": "https://shop1460393846166.1688.com",
    "cardType": "cjgc",
    "serviceScore": "4.5分",
    "buyerRepeatRate3m": "65.82%"
  },
  "shopcardParams": {
    "offerId": "927875250705",
    "userId": 0,
    "offerMemberTags": [4336705, 519170, "..."],
    "sellerUserId": 2850655109,
    "sellerMemberId": "b2b-2850655109d72ea",
    "topCategoryId": 7,
    "offerModelSign": { "isBuyerProtection": true, "isDistribution": true },
    "sellerIdentity": "cjgc",
    "sellerWinportUrlMap": { "indexUrl": "...", "defaultUrl": "..." },
    "winportUrl": "https://shop1460393846166.1688.com"
  }
}
Network Capture: Get shop scores and metrics (shopcard API)

The shopcard API uses dynamic sign tokens — let the page JS handle it, read from network traffic.

After the product detail page loads fully (wait stable), the shopcard request fires automatically:

  1. wait stable
  2. network requests --type xhr,fetch --filter h5api.m.1688.com
  3. Find request with URL containing mtop.1688.moga.pc.shopcard
  4. network request <id>

Endpoint characteristic: URL contains mtop.1688.moga.pc.shopcard

If the shopcard request is not in traffic (navigated away or cleared), reload the product page:

  1. navigate https://detail.1688.com/offer/{offer_id}.html
  2. wait stable
  3. Repeat steps 2–4 above

Error handling: If request not found after page reload, check if the product page loaded correctly (screenshot), then retry once. If still unavailable, shopcard data is unavailable for this offer.

Output example:

json
{
  "api": "mtop.1688.moga.pc.shopcard",
  "data": {
    "model": {
      "shopName": "佛山市南海区三丰手机配件有限公司",
      "shopType": "cjgc",
      "iconType": "cjgc",
      "mainCategoryName": "手机配件",
      "shopUrl": "https://shop1460393846166.1688.com",
      "tpYear": 11,
      "shopData": [
        { "dataKey": "店铺回头率", "dataValue": "66%" },
        { "dataKey": "店铺服务分", "dataValue": "4.5", "unit": "分" },
        { "dataKey": "准时发货率", "dataValue": "- %" },
        { "dataKey": "店铺好评率", "dataValue": "99.9%" }
      ],
      "shopButton": {
        "fuzzyFavCount": "8.6k粉丝",
        "attentionRelation": false
      }
    }
  }
}
Network Capture: Get DSR review summary (queryDsrRateDataV2 API)

After page load, the DSR scores request fires automatically alongside shopcard:

  1. wait stable
  2. network requests --type xhr,fetch --filter h5api.m.1688.com
  3. Find request with URL containing querydsrratedatav2
  4. network request <id>

Endpoint characteristic: URL contains mtoprateservice.querydsrratedatav2

Error handling: Same as shopcard — if not found, navigate to the product page and retry. The DSR API fires with the POST param loginId = seller loginId and offerId; both come from extract-seller-params.py output.

Output example:

json
{
  "data": {
    "model": {
      "goodRates": 99.9,
      "goodsGrade": 5.0,
      "fulfillmentDataList": [
        { "name": "商品好评", "value": "100%" },
        { "name": "按时发货" },
        { "name": "商品退款" }
      ],
      "commonTagNodeList": [
        { "name": "全部", "count": 2497 },
        { "name": "有图", "count": 6 },
        { "name": "好评", "count": 2494 }
      ],
      "impressionTagNodeList": [
        { "name": "价格很便宜", "count": 6 },
        { "name": "质量很好", "count": 5 }
      ]
    }
  }
}
Composite: Full product data extraction

Combines DOM extraction with network capture for complete data. For each offer ID:

  1. navigate https://detail.1688.com/offer/{offer_id}.html
  2. wait stable
  3. eval "$(python scripts/extract-product-detail.py '{offer_id}')" → core data
  4. eval "$(python scripts/extract-sku-details.py '{offer_id}')" → SKU variants
  5. eval "$(python scripts/extract-promotions.py '{offer_id}')" → coupons/activity
  6. network requests --type xhr,fetch --filter h5api.m.1688.com → locate shopcard and DSR requests
  7. network request <shopcard_request_id> → shop scores
  8. network request <dsr_request_id> → review stats
  9. Merge all results by offerId
Show full SKILL.md (383 more words)Show less

Enum Parameters

shop type [collection failed]: cardType values (e.g., cjgc, cht) come from page data but no separate enumeration API found; values depend on seller registration type

Pagination

Not applicable — this is a single-product detail extraction capability. For bulk processing, see Execution Efficiency below.

Success Criteria

extract-product-detail.py output has no error field AND title is non-null AND pricing.tiers length >= 1

Known Limitations

  • Search functionality (s.1688.com) requires login/CN IP — this Skill covers detail pages only (publicly accessible by offer ID)
  • Shopcard API (mtop.1688.moga.pc.shopcard) may return empty shopData for some offer types or if the session has expired; navigate to the product page to refresh
  • productAttributes DOM module has a server-side rendering bug (JSONArray cast error in page metadata) — attributes are extracted from DOM fallback selectors instead
  • freightInfo.totalCost (shipping cost) comes from the freight API which requires sendAddressCode and receiveAddressCode; defaults to sender's registered address; not included in composite extraction due to address dependency
  • Review list detail (queryItemRatedListV2) returns paginated individual reviews but is not included in composite — use the DSR summary instead

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through offer IDs serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Add 2–3 second intervals between products. To increase throughput, open multiple stealth browser sessions and distribute offers across them.
  • Test before batch execution: After writing a batch script, first test with 1–2 offer IDs to verify script runs correctly; only then run the full batch.
  • Reduce redundant pre-operations: When processing multiple offers, keep the session open; don't re-launch browser-act for each offer.
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over.

Experience Notes

Path: {working_directory}/browser-act-skill-forge-memories/1688-wholesale-scraper-1688-product-detail.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in solutions/ecommerce/1688-product-detail of browser-act/skills.

  • SKILL.md
  • scripts/extract-product-detail.py
  • scripts/extract-promotions.py
  • scripts/extract-seller-params.py
  • scripts/extract-sku-details.py

Open the folder on GitHubat commit 11c057b

Compare with similar skills

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Works with

Questions about 1688 Product Detail Extractor

What does 1688 Product Detail Extractor do?

Extracts wholesale product data from 1688.com offer pages, including tiered prices, SKU variants, seller info, promotions and review stats, with bundled Python scripts. com product page open in the browser, the agent pulls more than 50 fields from embedded page data and network capture: title, tiered pricing, images, seller stats, attributes, cross-border flags, buyer protection and review stats.py for the seller shop card.

When should I use 1688 Product Detail Extractor?

1688 Product Detail Extractor fits situations like: pulling price tiers and SKU variants from a 1688 offer; collecting supplier metrics such as shop scores; bulk scraping product data from a list of 1688 offer IDs; comparing coupons and promotions on a 1688 listing.

How do I install 1688 Product Detail Extractor in Claude Code?

Run `npx skills add browser-act/skills --skill 1688-product-detail -a claude-code`. Or copy the skill folder (solutions/ecommerce/1688-product-detail in browser-act/skills) into .claude/skills/1688-product-detail in your project. Claude Code loads it when a task matches its description.

How do I install 1688 Product Detail Extractor in Codex?

Run `npx skills add browser-act/skills --skill 1688-product-detail -a codex`. Or copy the skill folder (solutions/ecommerce/1688-product-detail in browser-act/skills) into .agents/skills/1688-product-detail in your project. Codex loads it when a task matches its description.

Can I use 1688 Product Detail Extractor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill 1688-product-detail -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/1688-product-detail, .gemini/skills/1688-product-detail, .github/skills/1688-product-detail and .opencode/skills/1688-product-detail in your project.

What does 1688 Product Detail Extractor need to run?

Going by SKILL.md and its folder, 1688 Product Detail Extractor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: The browser-act tool; Python 3, to run the extraction scripts; bash, since the scripts are run through eval.

Does 1688 Product Detail Extractor access the network?

SKILL.md names 3 domains. In commands or code: detail.1688.com, shop1460393846166.1688.com and cbu01.alicdn.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is 1688 Product Detail Extractor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does 1688 Product Detail Extractor use?

1688 Product Detail Extractor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 1688 Product Detail Extractor use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to 1688 Product Detail Extractor?

Skills that share tags, products or a category with 1688 Product Detail Extractor: Product Reel Generator (gooseworks-ai/goose-skills, 1.2k stars), E-commerce Product Extraction (firecrawl/web-agent, 1.2k stars), Apify Product Data Setup (apify/awesome-skills, 266 stars) and Firecrawl Page Scrape Integration (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 1688 Product Detail Extractor?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,126 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.