Apify Google Maps scraper alternatives: which tool fits your team.

Why people look for an Apify Google Maps scraper alternative

Apify's Google Maps Scraper is one of the most used ways to get Maps data, and interest in it keeps growing. Most people who search for an alternative are not unhappy with the data. They are asking a different question: "Is a scraping platform the right tool for what my team does every day?"

For a developer feeding a data warehouse, the answer is often yes. For an agency owner who wants 300 dentists in Phoenix with an owner's name by Friday, a general-purpose scraper can mean extra steps: configure inputs, choose add-ons, download JSON or CSV, deduplicate, find decision-makers elsewhere, then import into a CRM. That gap is what this comparison is about.

Apify's Google Maps Scraper: what it is and how it is priced

Apify is a cloud platform for running scrapers, called actors. The Google Maps Scraper actor opens the Google Maps website and extracts what you would see on each listing. Its page describes this as going beyond the limitations of the official Places API.

Pricing (as of October 2026)

• Model: pay per event. You pay a fixed price for each scraped place and each add-on, not for platform compute.
• Base: from US$1.50 per 1,000 scraped places. The price goes down on higher Apify subscription plans.
• Add-ons: additional place details, company contacts enrichment (emails, phones and social links from the website), social media profile enrichment, business leads enrichment (name, job title, LinkedIn, work email), email verification of those leads, reviews, and a competitor analysis report. The actor page's cost example puts contact enrichment at US$0.20 per 100 places on the Free plan.
• Platform plans: Apify pricing lists Free (US$5 of usage included monthly), Starter (US$19), Scale (US$199) and Business (US$999).

Data and skills

Output includes title, category, place ID, address, coordinates, phone, website, opening hours, rating and review distribution, and optionally reviews, images, popular times and Q&A. You can run it from a form in the Apify console or through the API (JavaScript, Python, CLI), connect it to Zapier, Make or Google Sheets, and download JSON, CSV, Excel, XML or HTML. Apify also offers an MCP server for AI assistants. Getting the most out of it rewards some technical comfort: understanding inputs, search limits per location and how add-ons multiply cost.

Outscraper: pay-as-you-go Google Maps data

Outscraper is a data service focused on Google products, with a Google Maps Scraper, a Maps reviews scraper, an Emails & Contacts Scraper and an email verifier, available through a web app and an API.

Pricing (as listed on its pricing page, October 2026)

Source: Outscraper pricing. The page states there are no monthly fees, billing is pay-as-you-go, tiers reset every 30 days, and prepaid credits do not expire. Exports include CSV, Excel, Parquet and JSON.

The model is easy to reason about at volume: you know the per-record price of each step and stack the ones you need. Like Apify, it hands you data; turning places plus contacts into a prioritized call list is your job.

Apify vs Outscraper vs Reachant, side by side

Only facts we could verify on each vendor's own pages, as of October 2026.

When Apify or Outscraper is the better choice

Pick one of them if any of these describes you:

• You are a developer or have one. Scheduling, webhooks and an API let you build exactly the pipeline you want.
• You need huge volume. Hundreds of thousands of places at a few dollars per thousand is hard to beat on unit price.
• You want raw data. Reviews text, photos, popular times, Q&A and menu data are useful for market research, location analytics or reputation work. Reachant does not return them.
• You work outside the US and Brazil. Reachant searches only those two markets; general-purpose scrapers take any location you give them.
• You need verified emails in the same run. Both offer verification; Reachant does not.

When Reachant is the better choice

Reachant is built for one job: a salesperson choosing a business category and a city, and getting back a list they can start calling. It fits when:

• The user is not technical. No inputs to tune, no JSON. Pick categories (about 4,000 Google business types) and a location.
• You want a ready-to-call row. Each company comes with phone, website, public email, WhatsApp and social links from its website, and a decision-maker name and title where one can be found.
• You sell into Brazil. Reachant finds the company's CNPJ and pulls the legal name and the official partner list (QSA) from Receita Federal data, which usually names the owner of a small business.
• You want the cost before the run. The app shows leads and credits before you search and refunds unused leads.
• You live in Claude or Cursor. The Reachant MCP server runs the estimate and the search from the assistant and hands back a CSV link.
• You prefer the official API. Companies come from the Google Places API, not from scraping the Maps site. Our Google Maps scraper page explains the difference and what Google's terms say.

Honest limits: emails are public ones found on company websites and are not verified, any field can be empty, and plans are priced in Brazilian reais. See the pricing page for what each plan includes.

A 30-minute test to decide

All three have a free allowance, so do not decide from a table. Run the same search everywhere:

1. Pick one real target, for example "roofing contractor" in one metro area.
2. Run it on each tool's free tier, with the enrichment you would actually use.
3. Take the first 30 rows from each and count how many have a working phone, a website, an email and a named decision-maker.
4. Time how long it takes to get from download to a list you would hand to a rep.
5. Project the cost of your monthly volume from each vendor's current pricing page.

Whatever you pick, verify emails before sending cold email; our guide on finding business emails covers verification and CAN-SPAM. For the broader landscape, see lead generation tools.

Frequently asked questions

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