Daily
Get new job listings by email every morning
Each morning you get an email with jobs that match your search and that you have not seen before, each with a fit score and a draft cover letter.
- Runs
- Daily
- Apps
- Gmail, SerpApi
- AI
- Optional
- Access
- SerpApi key; gmail.send
Send this to your assistant
Create a ClickRuntime automation: every morning, search Google Jobs with SerpApi for "product designer remote", skip jobs I've already seen, and email me the new ones with a fit score and a cover letter draft.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Someone looking for a remote product design role checks several job boards every morning, scrolling past the same listings they saw yesterday to spot the two new ones. It is tiring, it is easy to miss a good role posted on a board they forgot to check, and writing a fresh cover letter for each application slows them down further.
Google Jobs gathers listings from many boards in one place. This automation searches it every morning through SerpApi, drops any job already sent, and emails only the new ones. When AI is available, each listing comes with a fit score against their profile and a short cover letter draft to adapt.
What you get out of it
Only new jobs, every day
Listings already sent are skipped, so each email contains only roles you have not seen. Checking for new jobs takes a minute instead of an hour.
Many job boards in one search
Google Jobs collects listings from company career pages and job boards alike. You stop missing roles because they were posted somewhere you did not look.
Apply sooner
Early applicants often get more attention. A morning email lets you apply to a fresh posting the day it goes up.
A head start on each application
A fit score helps you decide which jobs are worth your time, and a draft cover letter gives you something to edit rather than a blank page.
How it works
What happens, step by step
Every morning, ClickRuntime searches Google Jobs for your search terms through SerpApi.
It compares the results with the jobs it has already sent you and keeps only new ones.
If AI is available, it scores each new job against your profile and drafts a short cover letter.
The new jobs are emailed to you from your Gmail address, and nothing is sent on days with no new listings.
Before it runs live
- Connect Google through your own Google app (a one-time, 10-minute setup), so it works with your own Gmail
- Connect SerpApi
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Gmail and SerpApi steps into one automation
Under the hood
The code that runs this automation
import base64
from email.mime.text import MIMEText
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_trigger, credentials, http, state, ai, log
QUERY, ME = "product designer remote", "you@example.com"
PROFILE = "Product designer, 6 years in B2B SaaS, strong in design systems and research."
@on_trigger
def run(event):
seen = set(state.get("seen") or [])
jobs = http.get("https://serpapi.com/search", params={"engine": "google_jobs", "q": QUERY, "api_key": credentials.secret("SERPAPI_API_KEY")}).json().get("jobs_results", [])
new = [j for j in jobs if j["job_id"] not in seen]
if not new:
return {"new": 0}
parts = []
for j in new[:10]:
entry = f"{j['title']} at {j['company_name']} ({j.get('location', '')})\n{j.get('share_link', '')}"
try:
entry += "\n" + ai.generate(f"Profile: {PROFILE}\nJob: {j['title']} at {j['company_name']}\n{j.get('description', '')[:2000]}\nGive a fit score 1-10 with a reason, then a 120-word cover letter.", max_output_tokens=350).text
except (ai.AINotIncluded, ai.AILimitReached) as e:
log.warning("AI unavailable, sending list only", {"code": e.code})
parts.append(entry)
mime = MIMEText("\n\n---\n\n".join(parts))
mime["to"], mime["subject"] = ME, f"{len(new)} new jobs: {QUERY}"
build("gmail", "v1", credentials=Credentials(credentials.connection("google", "work")), cache_discovery=False).users().messages().send(
userId="me", body={"raw": base64.urlsafe_b64encode(mime.as_bytes()).decode()}).execute()
state.set("seen", list(seen | {j["job_id"] for j in new})[-1000:])
return {"new": len(new)}FAQ
Common questions
Does it work without AI?
How does it judge fit?
Can I run more than one search?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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