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    <title>DEV Community: Jona Joy</title>
    <description>The latest articles on DEV Community by Jona Joy (@jon_71694adde49ae001).</description>
    <link>https://dev.to/jon_71694adde49ae001</link>
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      <title>DEV Community: Jona Joy</title>
      <link>https://dev.to/jon_71694adde49ae001</link>
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    <item>
      <title>I built a free tool that searches LinkedIn, Indeed, Glassdoor, ZipRecruiter and Google Jobs simultaneously</title>
      <dc:creator>Jona Joy</dc:creator>
      <pubDate>Thu, 04 Jun 2026 17:06:44 +0000</pubDate>
      <link>https://dev.to/jon_71694adde49ae001/i-built-a-free-tool-that-searches-linkedin-indeed-glassdoor-ziprecruiter-and-google-jobs-38o6</link>
      <guid>https://dev.to/jon_71694adde49ae001/i-built-a-free-tool-that-searches-linkedin-indeed-glassdoor-ziprecruiter-and-google-jobs-38o6</guid>
      <description>&lt;h2&gt;
  
  
  The problem
&lt;/h2&gt;

&lt;p&gt;If you've searched for a job recently, you know the drill.&lt;/p&gt;

&lt;p&gt;Open LinkedIn. Search. Open Indeed. Search again. Open Glassdoor. &lt;br&gt;
Search again. Switch tabs. Lose track of what you already applied &lt;br&gt;
to. Miss jobs because you didn't check one board that day.&lt;/p&gt;

&lt;p&gt;It's exhausting. And completely unnecessary.&lt;/p&gt;

&lt;h2&gt;
  
  
  What I built
&lt;/h2&gt;

&lt;p&gt;JobHunt AI is a free tool that searches all major job boards &lt;br&gt;
simultaneously in one run and returns clean, deduplicated results.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What it does:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Searches LinkedIn, Indeed, Glassdoor, ZipRecruiter and Google 
Jobs in one run&lt;/li&gt;
&lt;li&gt;Supports multiple roles + multiple locations simultaneously&lt;/li&gt;
&lt;li&gt;Auto-deduplicates results across all boards&lt;/li&gt;
&lt;li&gt;Optionally scores each job against your resume using Claude AI&lt;/li&gt;
&lt;li&gt;Returns a 0-100 match score, apply/consider/skip verdict, 
missing skills list, and top keywords per job&lt;/li&gt;
&lt;li&gt;Exports to JSON, CSV, or Excel&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  How it works technically
&lt;/h2&gt;

&lt;p&gt;Built on top of &lt;a href="https://github.com/Bunsly/JobSpy" rel="noopener noreferrer"&gt;JobSpy&lt;/a&gt; &lt;br&gt;
(MIT licensed Python library) wrapped as an Apify Actor.&lt;/p&gt;

&lt;p&gt;JobSpy handles the multi-board scraping and proxy rotation.&lt;br&gt;
Claude API (claude-sonnet-4) handles the AI resume scoring layer.&lt;/p&gt;

&lt;p&gt;The architecture is deliberately simple:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;code&gt;scraper.py&lt;/code&gt; — JobSpy wrapper, board selection, dedup&lt;/li&gt;
&lt;li&gt;
&lt;code&gt;scorer.py&lt;/code&gt; — Claude scoring, keyword extraction&lt;/li&gt;
&lt;li&gt;
&lt;code&gt;main.py&lt;/code&gt; — Apify actor entry point, lifecycle&lt;/li&gt;
&lt;li&gt;
&lt;code&gt;schema.py&lt;/code&gt; — Pydantic input/output models&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;That's it. No database. No auth. No unnecessary abstraction.&lt;/p&gt;

&lt;h2&gt;
  
  
  Example input
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight json"&gt;&lt;code&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"search_terms"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"AI engineer"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"ML engineer"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"LLM engineer"&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"locations"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"Remote"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"San Francisco"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"New York"&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"boards"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"linkedin"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"indeed"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"glassdoor"&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"hours_old"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;24&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"results_wanted"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;20&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;One run. Three roles. Three locations. All boards. Deduplicated.&lt;/p&gt;

&lt;h2&gt;
  
  
  Example output with AI scoring
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight json"&gt;&lt;code&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"title"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"Senior AI Engineer"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"company"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"Example Labs"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"location"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"Remote"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"source"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"indeed"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"ai_score"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;86&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"ai_verdict"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"apply_now"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"ai_missing_skills"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"Kubernetes"&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"keywords"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"Python"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"LLMs"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"RAG"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"evaluation"&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  Why Apify?
&lt;/h2&gt;

&lt;p&gt;Built and deployed as an Apify Actor because:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Zero infra to manage&lt;/li&gt;
&lt;li&gt;Built-in proxy rotation&lt;/li&gt;
&lt;li&gt;Scheduling, webhooks, dataset exports included&lt;/li&gt;
&lt;li&gt;Users get API access out of the box&lt;/li&gt;
&lt;li&gt;Existing developer audience already on the platform&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Try it free
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;&lt;a href="https://apify.com/eternallabs/jobhunt-ai" rel="noopener noreferrer"&gt;https://apify.com/eternallabs/jobhunt-ai&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;First 100 results free. No credit card needed. AI scoring &lt;br&gt;
requires your own Anthropic API key (~$0.10 per 50 jobs).&lt;/p&gt;

&lt;p&gt;Built by &lt;a href="https://apify.com/eternallabs" rel="noopener noreferrer"&gt;EternalLabs&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Feedback welcome — especially on which boards are working well &lt;br&gt;
and what features would make this more useful.&lt;/p&gt;

</description>
      <category>python</category>
      <category>apify</category>
      <category>jobsearch</category>
      <category>ai</category>
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