Yelp Leads + Zapier: The Full Setup Guide

What the Official Yelp Leads Zapier App Actually Does

Search "Yelp" inside Zapier's app directory and you'll find an official Yelp integration built for Yelp for Business accounts. It has one trigger that matters for this use case: New Lead, which fires each time a consumer sends your business a Request-a-Quote message.

That's it on the Yelp side. There's no action step to send a reply, update a lead's status, or mark something as spam. Zapier can read leads out of Yelp; it can't write back into the conversation. Keep that limitation in mind before you plan a Zap — it changes what "automation" can realistically mean here.

Connecting Yelp to Zapier

Setup is standard OAuth: create a new Zap, search for "Yelp" as the trigger app, select New Lead, and click Connect Account. You'll be redirected to log into the Yelp for Business account tied to the listing that receives the leads (not a personal Yelp login).

Once connected, Zapier pulls a handful of recent leads so you can test the trigger and see the exact fields it returns before you build anything downstream. Do this test step even if you're in a hurry — the field names and what's actually populated (some leads arrive with a phone number, some don't) will shape every step after it.

What Data the New Lead Trigger Gives You

A typical New Lead payload includes the consumer's name, the text of their request, the service category Yelp routed it under, a timestamp, and sometimes a callback phone number if the consumer chose to share one. What it does not include is any signal about quality — Zapier has no idea if the lead is a real job, outside your service area, or spam. That judgment call is entirely on you (or whatever you plug in downstream).

If a phone number is present, treat it as something you use for a human callback, not something a Zap should text automatically — more on that below.

Building a Realistic Multi-Step Zap: Webhook, Filter, Reply, SMS

A workable DIY Zap generally looks like this: New Lead triggers the Zap, then a Webhooks by Zapier step POSTs the lead's text and metadata out to wherever you're doing the actual qualification — a script you host, a spreadsheet-backed workflow, or an AI API call you've wired up yourself. That external step sends back a verdict (qualified or not) and, ideally, a drafted reply.

Next, a Filter by Zapier step only lets the Zap continue if that verdict says the lead is worth answering — this is where you stop notifications from firing on the obvious out-of-area or spam leads. The remaining steps handle the reply: since Zapier can't post into Yelp directly, the last step is typically an SMS (via Twilio or Zapier's built-in SMS action) or an email to yourself with the consumer's question and a suggested reply, so you can paste it into the Yelp thread by hand.

The part most DIYers underestimate is that middle webhook step. A basic Filter can catch obvious keyword mismatches, but telling a real job apart from a junk lead — wrong service type, wrong city, a vague one-line message — takes actual judgment, which means either writing your own classification logic or calling out to an AI model. That's the piece of the Zap that takes the most work to get right, and it's also the exact job Yelp Lead AI does out of the box: it reads each incoming lead with AI, decides if it's worth a response, and drafts the reply, either by text (Lite, no Zapier needed) or posted straight into the Yelp thread through a direct Zapier connection (Instant, typically inside a minute).

Where This Breaks Down: The TCPA Line and the Reply Gap

Two limits are worth knowing before you build this. First, the reply gap covered above — nothing in the public Yelp Zapier app posts a reply back into the thread, so "automation" here means faster notification and drafting, not a fully hands-off reply unless you build a separate integration against Yelp's own API.

Second, and more important: this is not legal advice, and you should consult an attorney about your specific setup — but in general, U.S. TCPA rules restrict sending automated texts or calls to a consumer's phone number without their consent. If a Yelp lead includes a phone number, the safe pattern is using it for a human to call back, or replying inside Yelp's own thread, not wiring a Zap to auto-text that number the moment a lead qualifies.

When DIY Zapier Is Enough, and When It Isn't

If you get a handful of Yelp leads a week and don't mind writing (or paying someone to write) the webhook logic that actually judges lead quality, this Zap is a reasonable weekend project. Zapier's task-based pricing scales fine at low volume.

Where it stops making sense is the qualification step itself — building and maintaining an AI classifier, keeping the filter logic current as your services change, and still manually retyping replies into Yelp because the Zapier app can't post them. If that's more plumbing than you want to own, that's the gap a dedicated tool like Yelp Lead AI is built to close, since qualification and the reply draft (or auto-posted reply, on the Instant plan) come pre-built instead of assembled from webhook and filter steps.