HrFlow.ai Make integrationAutomate HrFlow.ai with Make.

Once a role is filled, this module archives the matching job in the HrFlow.ai board that holds it, so the closed position stops sitting next to the openings you still recruit for.

Archives a candidate profile inside the HrFlow.ai source where it was indexed, which keeps your talent pool tidy when someone withdraws from your process.

Lets your scenario put a question to a job already stored in a board and receive the answer as data, ready to drop into a message or a spreadsheet cell.

Works like a quick interview of a stored profile: you ask about a candidate already in a source, and the reply comes back inside the scenario, ready to map into a note.

Updates a job that already lives in a board, so a change made elsewhere, like a new location or a revised title, reaches HrFlow.ai without retyping it.

Brings a stored candidate profile up to date with fresh information from another tool, such as a new phone number or a corrected email address.

Returns the reasoning behind a match between one job and one candidate, which gives recruiters something concrete to say when they present a shortlist to a manager.

A search module that looks up words close in meaning to the one you give it, handy for widening a job title or a skill before you search your boards and sources.

Asks HrFlow.ai for a portrait of a job, material you can reuse in a brief to the hiring manager or as a starting point for the posting.

Turns a place written in plain words into a geocoded location, which helps whenever jobs and candidates have to be compared by where they are.

Fetches one job from a board with its stored details, so the following modules can reuse them without anyone copying and pasting.

Reads a single candidate profile from a source and hands its contents to the rest of the scenario, ready to map into a CRM, a message or a document.

Grades how well one stored candidate fits one specific job, which gives your scenario a result it can use to route the application.

Adds a new job to one of your HrFlow.ai boards, the step that makes the offer available to the matching and scoring modules on this page.

Stores a candidate profile in a source when you already hold the details as data, for example from an application form, rather than as a resume file.

Calls any endpoint of the HrFlow.ai API with the connection you already set up, which covers whatever the ready-made modules on this page leave out.

Starting from one job, this module looks for similar jobs across your boards, useful to spot overlapping openings or to suggest related roles.

Looks for candidates who resemble a reference profile, a quick way to rebuild a shortlist when your favorite finalist declines the offer.

Extracts the text from a file through OCR (optical character recognition), so a scanned document becomes words the rest of the scenario can read and map.

Turns a block of plain text into structured information, a good fit when candidate details arrive in an email body or a chat message rather than in a file.

Reads a resume and files the candidate straight into a source, the most direct path from an inbox full of applications to a searchable talent pool.

Rates either a profile or a job with one module, which saves building two branches when your scenario handles candidates and offers alike.

Ranks jobs for a given candidate, giving you in a single step the openings most worth proposing to that person.

A search across your boards that returns the jobs matching your criteria, each one as a separate bundle the next module can work on.

Searches the candidates stored in your sources and passes back every match, the base of most sourcing automations built on HrFlow.ai.

Attaches tags to a piece of text, so free-form content such as a job description or a candidate summary gets labels you can sort on.

Converts a text into a vector, the numeric form that similarity tools use to compare meaning rather than exact words.