Every 15 minutes
Score CVs from a Drive folder into a spreadsheet
Every CV added to your Applicants folder becomes a row in your sheet with contact details, skills, experience and a score against the role.
- Runs
- Every 15 minutes
- Apps
- Google Drive, Google Sheets
- AI
- Yes, uses the built-in AI allowance
- Access
- Drive read; Sheets read+write
Send this to your assistant
Create a ClickRuntime automation: when a new CV lands in my Drive 'Applicants' folder, extract name, contact, skills and years of experience, score it against my job description and add a row to my Candidates sheet.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A hiring manager at a growing logistics firm has a hundred CVs in a Drive folder for one role. Reading every one properly takes days, so the first ones get careful attention and the last ones get a glance. Good candidates who applied late are easy to miss.
A sheet with every applicant's key details and a score against the job description lets you sort the pile and read the strongest CVs first. Small companies and recruiters use it to screen fairly and quickly without an applicant tracking system.
What you get out of it
Every candidate gets the same first look
Each CV is compared with the same job description, whether it arrived first or last.
A sortable shortlist
Scores in a sheet let you sort, filter and share the strongest candidates with colleagues in minutes.
Contact details in one place
Names, emails and phone numbers are collected in the sheet, ready for scheduling interviews.
Hours saved on the first pass
You read the CVs that matter in full instead of skimming all of them.
How it works
What happens, step by step
Every few minutes ClickRuntime checks your Drive Applicants folder for new CVs.
It skips any CV it has already added to the sheet.
AI reads each CV, picks out the name, contact details, skills and experience, and scores it against your job description.
A new row with those details and the score is added to your Candidates sheet.
Before it runs live
- Connect Google Drive
- Connect your Google Sheets account and pick the spreadsheets it may use
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
- Act only on the items that match your own rules, and skip the rest
- 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 Google Drive and Google Sheets steps into one automation
Under the hood
The code that runs this automation
import io
from pypdf import PdfReader
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_trigger, credentials, state, ai, report_fetched
FOLDER_ID, SHEET_ID = "your-applicants-folder-id", "your-spreadsheet-id"
JOB = "Warehouse supervisor: 3+ years leading shifts, forklift licence, inventory systems."
FIELDS = ["name", "email", "phone", "skills", "years", "score", "reason"]
SCHEMA = {"type": "object", "properties": {k: {"type": "string"} for k in FIELDS}}
@on_trigger
def run(event):
creds = Credentials(credentials.connection("google", "work"))
drive, sheets = build("drive", "v3", credentials=creds, cache_discovery=False), build("sheets", "v4", credentials=creds, cache_discovery=False)
seen = set(state.get("seen") or [])
files = drive.files().list(q=f"'{FOLDER_ID}' in parents and mimeType='application/pdf' and trashed=false", fields="files(id,name)").execute()["files"]
new = [f for f in files if f["id"] not in seen]
report_fetched(len(new))
if not new:
return {"summary": "Nothing new"}
for f in new:
text = "".join(p.extract_text() or "" for p in PdfReader(io.BytesIO(drive.files().get_media(fileId=f["id"]).execute())).pages)[:8000]
c = ai.generate(f"Job: {JOB}\nCV:\n{text}\nExtract the fields and score the fit 0-100.", json_schema=SCHEMA, max_output_tokens=300).json
sheets.spreadsheets().values().append(spreadsheetId=SHEET_ID, range="Candidates!A:G", valueInputOption="USER_ENTERED",
body={"values": [[c.get(k, "") for k in FIELDS]]}).execute()
seen.add(f["id"])
state.set("seen", list(seen)[-2000:])
return {"scored": len(new)}FAQ
Common questions
What file types can the CVs be?
How is the score decided?
Can I use it for several roles?
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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