Indeed Job Search logo

Indeed Job Search

OrganizationPopular
browser-act
indeed-job-search

Scrape job listings from Indeed.com by keyword, location, and country. Returns job title, company, salary, rating, description, benefits, and apply links. Use when user mentions Indeed, Indeed scraper, Indeed jobs, scrape Indeed, job search Indeed, Indeed job listings, extract Indeed data, Indeed job data, get jobs from Indeed, Indeed employment data, job market research Indeed, Indeed salary data, bulk job extraction Indeed, Indeed job scraper, monitor Indeed listings, Indeed hiring data, job postings Indeed, Indeed career search. Also applies to: job market analysis, salary benchmarking from Indeed, competitor hiring monitoring, recruitment data collection, building job databases from Indeed search results.

Overview

Publisherbrowser-act
Repositoryskills
Skill nameindeed-job-search
Stars
5.9K
Forks
295
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Indeed Job Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/lead-generation/indeed-job-search .claude/skills/indeed-job-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Indeed Job Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Indeed Job Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Indeed Job Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Indeed — Job Search

keyword + location + country → structured job listing data (title, company, salary, description, benefits, apply link)

Language

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

Objective

Extract structured job listing data from Indeed search results including full job descriptions, salary information, company details, and application links.

Prerequisites

  • Target page is already open in the browser: https://www.indeed.com/jobs?q={keyword}&l={location}
  • For pagination beyond page 1: user must be logged into Indeed (login/sign-in button is NOT visible, user avatar or account menu IS visible)

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.

2. Login Verification (for pagination beyond page 1)

If login status for Indeed has been confirmed in the current session → skip this step.

Otherwise: open Indeed and observe the page login status:

  • Sign out entry, user avatar, or account menu exists → logged in, continue execution
  • Sign in/Register entry exists with no sign out entry → not logged in, inform the user that login is needed for pagination beyond page 1, assist the user in completing the login flow

User refuses or cannot log in → can still extract page 1 results (up to 24 jobs per search), but cannot paginate.

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.

API: Extract job list from search results page

eval "$(python scripts/search-jobs.py --max-items {max_items})"

Parameters:

  • --max-items: Maximum number of items to return from current page, 0 for all (default: 0)

Prerequisites: Browser must be on an Indeed search results page (indeed.com/jobs?q=...). Navigate first:

  1. navigate https://www.indeed.com/jobs?q={keyword}&l={location} (add &start={offset} for pagination)
  2. wait stable
  3. If page title contains "Security Check" → solve-captchawait stable

Output example:

json
{
  "pageNumber": 1,
  "totalResults": 24,
  "results": [
    {
      "id": "8c06afbaf73fc880",
      "positionName": "Software Engineer",
      "company": "Google",
      "location": "San Francisco, CA",
      "postedAt": "3 days ago",
      "salary": "$120,000 - $180,000 a year",
      "salaryMin": 120000,
      "salaryMax": 180000,
      "salaryCurrency": "USD",
      "salaryType": "YEARLY",
      "jobType": ["Full-time"],
      "rating": 4.3,
      "reviewsCount": 15000,
      "companyLogo": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/...",
      "snippet": "<ul>...<b>software</b>...</ul>",
      "sponsored": false,
      "expired": false,
      "newJob": true,
      "url": "https://www.indeed.com/viewjob?jk=8c06afbaf73fc880",
      "externalApplyLink": null
    }
  ]
}

API: Fetch full job detail by job key

eval "$(python scripts/fetch-job-detail.py '{jobkey}')"

Parameters:

  • jobkey: Indeed job key (the id field from search results)

Prerequisites: Browser must be on the same Indeed search results page where the job was found (the fetch uses same-origin cookies). Do NOT navigate away between search and detail fetch.

Output example:

json
{
  "id": "a39828c8395d5dfe",
  "positionName": "Sr. Application Developer",
  "company": "University of California San Francisco",
  "location": "San Francisco, CA 94158",
  "rating": 4,
  "reviewsCount": 709,
  "companyLogo": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/...",
  "salary": "$101,300 - $190,000 a year",
  "salaryMin": 101300,
  "salaryMax": 190000,
  "salaryCurrency": "USD",
  "salaryType": "YEARLY",
  "jobType": "Full-time",
  "description": "<p><b>Job Description:</b></p><p>...(full HTML)...</p>",
  "benefits": ["Health insurance", "401(k)", "Dental insurance"],
  "postedAt": "13 days ago",
  "isExpired": false, "url": "https://www.indeed.com/viewjob?jk=a39828c8395d5dfe"
}

Composite: Full job search with descriptions

Complete workflow to extract job listings with full descriptions:

  1. navigate https://www.indeed.com/jobs?q={keyword}&l={location}wait stable
  2. If title contains "Security Check" → solve-captchawait stable
  3. eval "$(python scripts/search-jobs.py)" → get job list with IDs
  4. For each job id from step 3:
    • eval "$(python scripts/fetch-job-detail.py '{id}')" → get full description
  5. Merge: search results provide base data, detail fetch adds description, benefits, enriched salary/rating

For pagination (requires login):

  • Repeat steps 1-4 with &start=10, &start=20, &start=30, etc.
  • Termination: when search-jobs.py returns fewer results than expected or error: true

Output: Combined array where each item has all fields from both search-jobs and fetch-job-detail.

Enum Parameters

[API] country — supported country codes for Indeed search (append to URL as domain variant https://{country-domain}/jobs?q=...):

CodeDomainCountry
USwww.indeed.comUnited States
GBuk.indeed.comUnited Kingdom
CAca.indeed.comCanada
AUau.indeed.comAustralia
INin.indeed.comIndia
DEde.indeed.comGermany
FRfr.indeed.comFrance
JPjp.indeed.comJapan
BRbr.indeed.comBrazil
MXmx.indeed.comMexico
SGsg.indeed.comSingapore
NLnl.indeed.comNetherlands
ITit.indeed.comItaly
ESes.indeed.comSpain
SEse.indeed.comSweden
CHch.indeed.comSwitzerland
HKhk.indeed.comHong Kong
KRkr.indeed.comSouth Korea
PLpl.indeed.comPoland
ATat.indeed.comAustria
BEbe.indeed.comBelgium
NZnz.indeed.comNew Zealand

For other countries, use format: {country-code-lowercase}.indeed.com

Pagination

URL Pagination: Parameter start, type: page-number (offset-based). Start value: 0 (page 1, implicit). Next page: increment by 10 (start=10, start=20, start=30...). Termination: search-jobs.py returns error: true with message about no results, or returns fewer than expected items. Note: each page actually returns ~15-24 items despite the offset increment of 10.

Login requirement: Page 2+ (start=10 and above) redirects to secure.indeed.com/auth if not logged in.

Success Criteria

  • result count >= 1 from search-jobs.py
  • Core fields non-null: id, positionName, company, location present for all results
  • description field from fetch-job-detail.py is non-null HTML string with length > 100
  • Data matches page content (job titles correspond to visible listings)

Known Limitations

  • Pagination beyond page 1 requires Indeed login (unauthenticated access limited to first page, ~24 results)
  • Indeed may trigger captcha/security check on first visit; solve-captcha resolves this
  • Job detail fetch (fetch-job-detail.py) must execute from within the search results page context (same-origin requirement)
  • Indeed's anti-bot detection may block access after excessive requests; use appropriate intervals (2-5 seconds between detail fetches)
  • Some fields (salary, jobType, benefits) may be null when not provided by the employer

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Add 2-3 second intervals between detail fetches. 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: Extract all job IDs from the search page first (one eval), then batch-fetch details — avoid re-navigating to the search page between fetches
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

Experience Notes

Path: browser-act-skill-forge-memories/indeed-jobs-scraper-indeed-job-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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Indeed Job Search AI skill do?

Scrape job listings from Indeed.com by keyword, location, and country. Returns job title, company, salary, rating, description, benefits, and apply links. Use when user mentions Indeed, Indeed scraper, Indeed jobs, scrape Indeed, job search Indeed, Indeed job listings, extract Indeed data, Indeed job data, get jobs from Indeed, Indeed employment data, job market research Indeed, Indeed salary data, bulk job extraction Indeed, Indeed job scraper, monitor Indeed listings, Indeed hiring data, job postings Indeed, Indeed career search. Also applies to: job market analysis, salary benchmarking f...

Why use Indeed Job Search on TypingMind?

Because you install it once and use it with any model. Indeed Job Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Indeed Job Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/lead-generation/indeed-job-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Indeed Job Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Indeed Job Search?

As many as you like. As long as a model supports skills, you can use Indeed Job Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Indeed Job Search AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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