Agent skill

Walmart Keyword Search

by browser-act in browser-act/skills

Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price…

MITAuto-check passedSales & Support

Install Walmart Keyword Search

skills CLI
$ npx skills add browser-act/skills --skill walmart-keyword-search -a claude-code

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

GitHub CLI
$ gh skill install browser-act/skills walmart-keyword-search --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/walmart-keyword-search .claude/skills/walmart-keyword-search && 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
walmart-keyword-search
GitHub stars
6.1k
Token cost
~1.8k tokens
SKILL.md length
667 words
Files
2 (incl. scripts)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price…

  • Works in 3 steps: navigate… → wait stable → eval "$(python…
  • User mentions walmart search
  • SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 7 more sections
  • Runs Python scripts from its folder; calls python; reaches walmart.com and i5.walmartimages.com

What it does

Walmart Keyword Search is an agent skill from browser-act/skills. Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price, wasPrice, rating, reviewCount, availability, seller info, fulfillmentBadge, classType, and shortDescription. Use when user mentions walmart search, walmart keyword search, search walmart products, scrape walmart search results, walmart search scraper, walmart product search, search items on walmart, walmart search by…

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract-listing.py`).

It sits in Sales & Support, covering E-commerce operations and Web scraping. It works with Python. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.

When your agent uses it

  • User mentions walmart search
  • Walmart keyword search
  • Search walmart products
  • Scrape walmart search results

Example prompts

  • “/walmart-keyword-search”

Requirements

  • Python 3

Workflow steps

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

  1. navigate "https://www.walmart.com/search?q={keyword}&page={page}&sort={sort}"
  2. wait stable
  3. eval "$(python scripts/extract-listing.py)"

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 1 file 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:

    • walmart.com
    • i5.walmartimages.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

Walmart Keyword Search loads about 1.8k tokens when it runs. Until then it costs about 234 tokens; SKILL.md has 667 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~234
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 667 words, ~1,777 tokens.

Download SKILL.mdSave it as .claude/skills/walmart-keyword-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
walmart-keyword-search
description
Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price, wasPrice, rating, reviewCount, availability, seller info, fulfillmentBadge, classType, and shortDescription. Use when user mentions walmart search, walmart keyword search, search walmart products, scrape walmart search results, walmart search scraper, walmart product search, search items on walmart, walmart search by keyword, walmart product listing, get walmart search data, extract walmart products, walmart search results scraper, walmart shop search, walmart catalog search, walmart product list by keyword, walmart browse by keyword. Also applies to price comparison research on walmart, finding walmart product URLs in bulk, monitoring walmart search rankings, collecting walmart product data by category keyword.

Walmart — Keyword Search Listing

keyword + page → paginated product list from walmart.com search results

Language

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

Objective

Extract product listings from Walmart's keyword search results page, returning structured item data with pricing, rating, availability, and seller info.

Prerequisites

  • Target search page is open in the browser: https://www.walmart.com/search?q={keyword}&page={page}

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. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. 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.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

DOM: extract product listing from current search page

Navigate to the target search URL first, then extract:

  1. navigate "https://www.walmart.com/search?q={keyword}&page={page}&sort={sort}"
  2. wait stable
  3. eval "$(python scripts/extract-listing.py)"

Parameters in URL:

  • {keyword}: URL-encoded search keyword (e.g., laptop, apple+iphone, running+shoes)
  • {page}: page number, starting from 1
  • {sort}: sort order — best_match (default), price_low, price_high, rating_high, new

Output example:

json
{
  "pageType": "SearchPage",
  "query": "laptop",
  "currentPage": 1,
  "totalCount": 16174,
  "maxPage": 12,
  "itemCount": 57,
  "items": [
    {
      "itemId": "18656507313",
      "url": "https://www.walmart.com/ip/HP-14-N150-4-128-Blue/18656507313",
      "title": "HP 14 inch HD Windows Laptop Intel Processor N150 4GB 128GB UFS Waterfall Blue",
      "brand": null,
      "image": "https://i5.walmartimages.com/seo/HP-14.jpeg",
      "price": 229,
      "priceString": "$229.00",
      "wasPrice": null,
      "rating": 4.2,
      "reviewCount": 274,
      "availability": "IN_STOCK",
      "availabilityText": "In stock",
      "sellerName": "Walmart.com",
      "sellerType": null,
      "fulfillmentBadge": null,
      "classType": "VARIANT",
      "shortDescription": null
    }
  ]
}

Error response (when extraction fails or wrong page):

json
{"error": true, "message": "No searchResult in __NEXT_DATA__. Ensure the page is fully loaded at the correct search URL."}

Enum Parameters

sort [collection failed]: URL parameter values observed during exploration: best_match, price_low, price_high, rating_high, new. Full enum list not exposed via API or DOM; additional values may exist.

Pagination

URL Pagination: URL pattern https://www.walmart.com/search?q={keyword}&page={N}&sort={sort}. Increment page by 1 each iteration. Termination: page > maxPage (from response maxPage field) OR itemCount === 0. Note: Walmart caps search results at maxPage (typically 11–25 pages max regardless of totalCount).

Success Criteria

itemCount >= 1 AND items[0].itemId is non-null AND items[0].url starts with https://www.walmart.com/ip/

Known Limitations

  • Walmart limits search pagination to at most ~25 pages regardless of total result count
  • brand field is null for many items in search listing (available in product detail)
  • shortDescription is null for most non-food items in search listing
  • wasPrice is null unless the item has an active markdown/rollback
  • sellerType is null for Walmart.com first-party listings
Show full SKILL.md (243 more words)Show less

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through keywords serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Add 1–2 second intervals between page navigations. To increase throughput, open multiple stealth browser sessions and distribute work across them — each session has an independent fingerprint so rate limits apply per session
  • Test before batch execution: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
  • Reduce redundant pre-operations: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
  • 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/walmart-scraper-walmart-keyword-search.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 1 other file (scripts) in solutions/ecommerce/walmart-keyword-search of browser-act/skills.

  • SKILL.md
  • scripts/extract-listing.py

Open the folder on GitHubat commit 11c057b

Compare with similar skills

Walmart Keyword Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Walmart Keyword Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Walmart Keyword Search this skillbrowser-act/skills6.1k—~1.8kAutomated safety check: PassMIT
Product Reel Generatorgooseworks-ai/goose-skills1.2k1 repos~2.3kAutomated safety check: NotesMIT
Etsy Shop Sales Historysickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT
Extractactionbook/actionbook1.6k2 repos~3.4kAutomated safety check: PassApache-2.0
Agentkeychainbase-labs/Agentkey656—~2.3kAutomated safety check: PassMIT
Apify Ecommercesickn33/agentic-awesome-skills47k2 repos~2.3kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Walmart Keyword Search

What does Walmart Keyword Search do?

Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price…. Walmart Keyword Search is an agent skill from browser-act/skills.com search results, extract paginated product listings with itemId, url, title, brand, image, price, wasPrice, rating, reviewCount, availability, seller info, fulfillmentBadge, classType, and shortDescription.

When should I use Walmart Keyword Search?

Walmart Keyword Search fits situations like: user mentions walmart search; walmart keyword search; search walmart products; scrape walmart search results.

How do I install Walmart Keyword Search in Claude Code?

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

How do I install Walmart Keyword Search in Codex?

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

Can I use Walmart Keyword Search 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 walmart-keyword-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/walmart-keyword-search, .gemini/skills/walmart-keyword-search, .github/skills/walmart-keyword-search and .opencode/skills/walmart-keyword-search in your project.

What does Walmart Keyword Search need to run?

Going by SKILL.md and its folder, Walmart Keyword Search needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Walmart Keyword Search access the network?

SKILL.md names 2 domains. In commands or code: walmart.com and i5.walmartimages.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Walmart Keyword Search 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 Walmart Keyword Search use?

Walmart Keyword Search 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 Walmart Keyword Search use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 Walmart Keyword Search?

Skills that share tags, products or a category with Walmart Keyword Search: Product Reel Generator (gooseworks-ai/goose-skills, 1.2k stars), Etsy Shop Sales History (sickn33/agentic-awesome-skills, 47k stars), Extract (actionbook/actionbook, 1.6k stars) and Agentkey (chainbase-labs/Agentkey, 656 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Walmart Keyword Search?

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.