Recruitment

CV Parsing

Extract structured candidate data from CVs into ATS fields with work history normalization.

Automation overview

What this automation does

This automation starts when greenhouse application or email CV attachment received. It x (twitter) parse and openai parse, then normalizes job titles to standard taxonomy, populates ATS custom fields, flags employment gaps >6 months for recruiter review, stores original CV Drive candidat.

Trigger

Greenhouse application or email CV attachment received

Main actions

X (Twitter) parse → OpenAI parse

Final outcome

normalizes job titles to standard taxonomy, populates ATS custom fields, flags e…

Execution time

30–90 seconds

Apps used

3 integrations

AI-powered

Difficulty

Beginner

Workflow diagram

End-to-end scenario flow

Read-only visualization of how data moves from trigger to final result.

Trigger

Greenhouse

Event detected

Step 1

X (Twitter)

Parse

OpenAI

Parse

Result

OpenAI

Workflow complete

Step-by-step

How each step runs

1
GreenhouseTrigger
Event detected
Greenhouse application or email CV attachment received
2
X (Twitter)
Parse
Greenhouse or email CV attachment triggers PDF/DOCX parse via Affinda or GPT extraction
3
OpenAI
Parse
Greenhouse or email CV attachment triggers PDF/DOCX parse via Affinda or GPT extraction
4
OpenAI
Workflow complete
normalizes job titles to standard taxonomy, populates ATS custom fields, flags employment gaps >6 months for recruiter review, stores original CV Drive candidat

Apps used

Connected applications

Greenhouse

Parse

X (Twitter)

Parse

OpenAI

Parse

Summary

Automation summary

Trigger: Greenhouse application or email CV attachment received
Inputs: Greenhouse application or email CV attachment received, Business Name, Notification Email, Timezone
Outputs: normalizes job titles to standard taxonomy, populates ATS custom fields, flags employment gaps >6 months for recruiter review, stores original CV Drive candidat, X (Twitter) parse, OpenAI parse
Business goal: Automate cv parsing end-to-end with accurate app routing.
Execution frequency: Real-time on event
Estimated runtime: 30–90 seconds
Error handling: Failed steps retry up to 3 times with exponential backoff; persistent failures notify your configured channel and log to the run history.
Dependencies: Greenhouse, X (Twitter), OpenAI

Benefits

Why use this automation?

Save ~8 hours/week

Remove repetitive steps from CV Parsing so your team focuses on high-value work.

Reduce manual work

Connected apps sync data automatically instead of copy-paste between dashboards.

Prevent human errors

Standardized logic runs the same way every time, with retries on failure.

Requirements

What you need to get started

Required apps

Greenhouse
X (Twitter)
OpenAI

Required accounts

Active Greenhouse workspace with API access
Active X (Twitter) workspace with API access
Active OpenAI workspace with API access
Shata Automation workspace (free tier supported)

Required API keys

OAuth tokens for each connected integration

Permissions

Read access on trigger sources (forms, sheets, webhooks, or CRM objects)
Write access on destination apps (email, chat, CRM, or storage)

Estimated setup time

5 min including app authorization and test run
Difficulty: Beginner

Automation runtime

Activate this template

PreviewSome steps run in preview until their integrations go live.

Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.

Draft

Activation readiness

Est. setup time: ~6 min

Required connections

greenhouse(required)
Previewgreenhouse: workflow actions run in preview
⚠ Missing
x(required)
Previewx: workflow actions run in preview
⚠ Missing

• Missing connection: greenhouse
• Missing connection: x

Manage all connections →View all installations →

Workflow summary

Trigger: Greenhouse application or email CV attachment received
Steps: 4 nodes
Required apps: 2
Optional apps: 1

Trigger

New email trigger

Activate this workflow to provision the trigger endpoint.

Run history

No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.

FeaturedFreeBeginnerPreview5 min setup★4.17.7k installs · 357 reviews

Customize for My Business

Analytics

Template performance

1.1k

Views

7.7k

Installs

234

Favorites

4.1

Avg rating

695.4%

Conversion

5 min

Setup time

93%

Success rate

111

Trending score

Most used integrations

GreenhouseX (Twitter)OpenAI

Greenhouse or email CV attachment triggers PDF/DOCX parse via Affinda or GPT extraction—name, email, phone, employers, dates, skills, education—normalizes job titles to standard taxonomy, populates ATS custom fields, flags employment gaps >6 months for recruiter review, stores original CV Drive candidate folder.

Some steps run in preview until their integrations go live.

Required apps

GreenhousePreviewX (Twitter)Preview

Optional apps

OpenAILive

All integrations

GreenhouseX (Twitter)OpenAI

Workflow preview

How CV Parsing runs

Trigger

Define field mapping

→

Process

Rule engine

→

Action

greenhouse

→

Notify

Alert & log

GreenhouseXOpenai

Setup steps

Get started in 5 steps

1
Connect ATS and parsing
Greenhouse/Lever, Gmail, Affinda or GPT extract, Drive archive.
2
Define field mapping
Extracted JSON maps to ATS standard and custom fields.
3
Normalize titles
Map variants—SDE, Software Engineer—to canonical title list.
4
Flag anomalies
Gap, short tenure, missing email to recruiter Slack digest.
5
Validate parse accuracy
50 CV benchmark; target 95% field accuracy.

Variables

Configurable settings

Variable	Type	Default	Required
Business Name	text	Your Business	Yes
Notification Email	email	—	Yes
Timezone	select	—	Yes

FAQ

Frequently asked questions

Non-English CVs?

Multilingual extraction; store original language metadata.

LinkedIn PDF?

LinkedIn export format handled with dedicated parser hints.

Photo extraction?

Ignored for scoring; not stored in ATS per bias policy.

Bulk career fair?

Zip batch 200 CVs overnight with progress Slack.

Reviews

4.7

★4.7

357 total reviews

Lisa Tran

Founder · ScaleUp SaaS

★★★★★

3/13/2026

After two weeks live, CV Parsing has become core to our daily ops. Verified install — runs without babysitting.

+ Integrations worked on first try · AI quality exceeded expectations

James O'Brien

CTO · DevFlow

★★★★★Verified install

2/24/2026

CV Parsing replaced a manual process that took 2 hours daily. ROI was clear within the first month.

+ Reliable triggers every time · Support team helped customize quickly

Nadia El-Sayed

Restaurant Owner · Frio Café

★★★★Verified install

2/7/2026

We deployed this across three locations and saw immediate time savings. The CV Parsing workflow handles edge cases we didn't expect it to.

+ Great documentation · Scales well as we grow

− Took longer than estimated for advanced config

Documentation

Template documentation

Overview

Requirements

Active greenhouse account with API access
Active x account with API access
No AI provider required
Shata Automation workspace (free tier supported)

Supported apps

greenhousePreviewxPreviewopenaiLive

Triggers

Greenhouse application or email CV attachment received

Actions

Define field mapping
Normalize titles
Flag anomalies
Validate parse accuracy

Examples

Quick start

Activate CV Parsing with default variables and run a sandbox test.

Scenario: New user installs template and validates output in under 15 minutes.

Production rollout

Connect live apps, map business rules, enable monitoring alerts.

Scenario: Team deploys to workspace after QA sign-off on test runs.

Troubleshooting

Workflow fails on first run: Verify OAuth scopes for all required integrations and re-authorize if expired.
Variables not applying: Check required fields in the Configure Variables step; empty required values block activation.
Notifications not received: Confirm notification email and Slack channel IDs match your workspace settings.

Release notes

Version 1.2.0 — Improved reliability and Slack notifications for CV Parsing.

Versioning

Version history

Current version: 1.2.0

v1.2.0Current

2/10/2026

improvementImproved error handling and retry logic for failed runs.
featureAdded optional Slack notification on workflow completion.

v1.1.0

12/12/2025

featureNew variable: brand voice selector for AI-powered steps.
fixFixed timezone handling for scheduled triggers.

v1.0.0

10/13/2025

featureInitial marketplace release.

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Recommendations

Customize CV Parsing for your business

Our team can adapt this template to your exact workflow, apps, and brand requirements.

Request custom automation →Talk to an expert

CV Parsing

What this automation does

End-to-end scenario flow

How each step runs

Connected applications

Automation summary

Why use this automation?

What you need to get started

Required apps

Required accounts

Required API keys

Permissions

Estimated setup time

Activate this template

Required connections

Workflow summary

Trigger

Run history

Template performance

How CV Parsing runs

Get started in 5 steps

Configurable settings

Frequently asked questions

Template documentation

Overview

Requirements

Supported apps

Triggers

Actions

Examples

Troubleshooting

Release notes

Version history

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Hiring Pipeline

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Offer Accepted Onboarding

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To-do Manager

Pull Request Review Summary

Inbox Priority Briefing

Customize CV Parsing for your business

Template documentation

Overview

Requirements

Supported apps

Triggers

Actions

Examples

Troubleshooting

Release notes

Version history

Related templates

Candidate Ranking

Hiring Pipeline

Offer Letter Generator

Offer Accepted Onboarding

Customers also installed

Hiring Pipeline

Interview Bot

Applicant AI Screening

Offer Letter Generator

Trending this week

Canva Asset Approval Flow

To-do Manager

Pull Request Review Summary

Inbox Priority Briefing