Google Docs + Spark Hire + Filter by Zapier + CandidateZip Resume/Job Parser
Extract resume data from new documents in Google Docs to create one-way interviews in Spark HIre using CandidateZip
Use this integration and save yourself time, effort, and a ton of manual data entry. Once set up, CandidateZip automatically extracts details from a new resume in your Google Docs, storing that data in your Spark Hire account as a new one-way interview. Note: The Filename must have the word "resume".
Use this integration and save yourself time, effort, and a ton of manual data entry. Once set up, CandidateZip automatically extracts details from a new resume in your Google Docs, storing that data in your Spark Hire account as a new one-way interview. Note: The Filename must have the word "resume".
- When this happens...New Document
Triggers when a new document is added (inside any folder).
- automatically do this...Only continue if...
Set up rules to specify when this Zap can continue running.
- then do this...Parse Resume Standard
Convert resume to basic fields plus employment and education data sets.
- then do this!Create One-Way Interview
Creates a new one-way interview.
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New Document
Triggers when a new document is added (inside any folder).
Try ItDrive
Folder
Document NameRequired
Text to AppendRequired
Append Text on New Line?
FileRequired
Specify Document Name
Drive
Folder
DocumentRequired
Start position (Index)Required
End position (Index)Required
Formatting Options
Font size (points)
Font family
Text color (hex)
Background color (hex)
Segment ID
Tab ID
Drive
Folder
Try ItDrive containing the template document
Folder containing the template document
Template DocumentRequired
New Document NameRequired
Drive
Folder for new Document
Sharing Preference
Unused Fields Preference
Export Formats
Insert Inline Image (Image URL)
Image location (Segment ID)
Image location (Index)
Image location (tabId)
DocumentRequired
Find textRequired
Replace text
Match case
DocumentRequired
Image URLRequired
Insert position (Index)Required
Width (points)
Height (points)
Segment ID
Tab ID
