An r/hiringcafe post launched an AI Job Search Agent matching power-user filters on a job board. This tutorial walks the data layer: SERP for ATS pages, Reddit for hiring threads, extract for the full job description.
Prerequisites
- Python 3.10+
- Scavio API key
Walkthrough
Step 1: Take user resume + preferences
Inputs: skills, location, salary range, remote preference.
Python
USER = {'skills': ['python', 'rust', 'mcp'], 'location': 'remote', 'min_salary': 150000}Step 2: Generate ATS-targeted queries
site: queries find Greenhouse, Lever, Ashby pages.
Python
ATS_DOMAINS = ['greenhouse.io', 'lever.co', 'ashbyhq.com']
def queries(user):
return [f'site:{d} {" ".join(user["skills"])} {user["location"]}' for d in ATS_DOMAINS]Step 3: SERP across ATS domains
Scavio search per query.
Python
import requests, os
API_KEY = os.environ['SCAVIO_API_KEY']
def ats_jobs(q):
r = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': API_KEY}, json={'query': q}).json()
return r.get('organic_results', [])[:20]Step 4: Reddit hiring threads as a parallel surface
r/cscareerquestions, r/jobs, niche subs surface unannounced openings.
Python
def reddit_jobs(skills):
return requests.post('https://api.scavio.dev/api/v1/reddit/search',
headers={'x-api-key': API_KEY},
json={'query': f'{" ".join(skills)} hiring 2026'}).json().get('posts', [])[:20]Step 5: Extract full job description
ATS pages render as clean markdown.
Python
def description(url):
r = requests.post('https://api.scavio.dev/api/v1/extract',
headers={'x-api-key': API_KEY}, json={'url': url, 'format': 'markdown'}).json()
return r.get('markdown', '')Step 6: Score + rank with LLM
Match resume against full description.
Python
import anthropic
client = anthropic.Anthropic()
def score(resume, jd):
msg = client.messages.create(model='claude-sonnet-4-6', max_tokens=200,
messages=[{'role':'user','content':f'Score this resume vs job description 0-100 with 1-line reason. RESUME: {resume}. JD: {jd}'}])
return msg.content[0].textPython Example
Python
# Daily run: 3 ATS queries + 1 Reddit query + ~20 extracts = ~25 credits = $0.11.JavaScript Example
JavaScript
// Same pattern in TS via the Anthropic SDK.Expected Output
JSON
About 30-60 ranked jobs per day with full descriptions and 0-100 fit scores. Reddit thread surfacing catches unannounced roles 3-7 days earlier.