Leads-Sniper Google Search tutorial: footprints, not keywords

I tested the Leads-Sniper Google Search Scraper on doctors in Chennai with LinkedIn as the target source, and the workflow that matters is not scraping. It is the footprint. Feed the extension a naive query and Google returns category pages; feed it a proper footprint and Google returns pages with names, emails and phone numbers. The scraper is one step in a three-step workflow, and it is not the interesting one.

The footprint is the whole workflow

Google is a lead source only if you know how to ask it. “Doctors Chennai” returns hospital directories and job boards. ("doctor" OR "physician") "chennai" site:linkedin.com/in "@gmail.com" OR "@yahoo.com" returns individual profiles with public contact details.

The Leads-Sniper Google Search Scraper ships with a built-in Google Footprint Generator that composes those queries for you. Type the audience, the location, pick the sources (LinkedIn, Facebook, X, custom sites), pick the contact-info operators (email, phone), and it emits ten to twenty candidate queries that the scraper then consumes.

This is the reason the Google Search Scraper is not just “another Google scraper”. Every Google-scraping tool can execute a query. The value is what the query is.

Install the extension, then activate the module

Leads-Sniper is a Chrome extension. Install it, activate the Google Search Scraper module, and the toolbar carries the entry to the footprint generator and the run panel. Nothing to install per module — one extension, four scrapers, activation per tool.

The extension also works in Microsoft Edge, which matters if you already have Chrome logged into a personal account and you want a clean profile for scraping. Install it in Edge with a separate profile and the workflow stays isolated from your personal browsing.

Compose the footprint before you touch the scraper

Open the Google Footprint Generator and it asks four questions in this order:

1. Who is the target? Doctors, dentists, plumbers, HR managers, freelance designers — the noun that describes your prospect.
2. Where? Country, city, region. Local prospecting narrows a footprint from millions of hits to hundreds.
3. Which source? LinkedIn is the default because it publishes profession and location on public profiles. Facebook, X, Instagram, TikTok, YouTube, Reddit and Pinterest are the alternatives, plus a custom-website field for anything else.
4. Which contact info to require? Email operator, phone operator, or both. This is what turns a “who’s out there” search into a “who’s reachable” search.

The generator produces the Google syntax on the right side. Read a few of the queries before you run them and you learn faster than any tutorial teaches: Google’s site: operator, quoted phrase behaviour, and how mixing OR groups changes the yield.

Feed the queries into the scraper, cap the depth

The generated footprints go straight into the scraper’s queue. Depth per query is the setting that decides how many result pages the extension iterates through. Ten pages is a safe default; thirty is where Google’s throttle starts to bite; a hundred is where you need the CAPTCHA integration wired in and a plan for pause-resume.

The extension shows the queue live. Each query runs, results scroll into a running dataset with a de-dup check on the domain, and the total climbs. You can pause any query mid-scrape and resume from the next page.

Watch the scrape, then export the fields you need

Once the scrape is running you get a live count of extracted prospects with their source query attached. This matters when you’re tuning footprints: a query that returned six prospects out of two pages is a strong signal to write three more like it; a query that returned zero out of ten is a signal to change the operators or drop the source.

Export is the same three-format menu as the other scrapers — CSV, XLSX or JSON — and the field checklist lets you drop everything except email plus phone if that is what the outreach tool needs. For B2B prospecting the useful export is name, source URL, email, phone and platform tag. Everything else is optional.

Why this is the underrated scraper

The Yellow Pages Scraper wins on structured business data. The Google Maps Scraper wins on local volume. The Google Search Scraper wins on the one thing the other two cannot do: cross-platform prospecting from a single seed. One footprint against LinkedIn, one against a niche forum, one against a directory, one against personal sites, and the export is a mixed prospect list from four sources with names and emails in the same CSV.

That workflow does not exist in any tool priced on the Google Maps Scraper’s ladder. It exists here because Google indexes everything, and the footprint generator makes the query composition trivial. If you have not run this workflow before, the video is where to start.

What this tutorial did not cover

Two things the video and this page leave out:

• Email verification. The scraper extracts publicly available emails from the pages Google returns. Whether the address is deliverable is a separate step in a separate tool. Ship the CSV to a verification service before any outreach platform sees it.
• Outreach and personalisation. Leads-Sniper is scrape-only. The pitch, the follow-up sequence and the reply-rate optimisation live in the outreach platform. Do not try to make a scraper do the outreach; do not try to make an outreach tool do the scraping.

For the higher-volume local prospecting source: the Google Maps Scraper walkthrough. For the country-restricted business directory: the Yellow Pages Scraper walkthrough. Pricing, bundle discounts and the alternatives are on the Leads-Sniper listing with the date every figure was read.

Disclosure: I tested Leads-Sniper on the Chrome extension in August 2026. Some links in this article are affiliate links, including the 40% off lifetime deal on the listing above. The free trial covers the same workflow before you commit.