Outscraper vs Apify for Google Maps Leads

Search outscraper vs apify and the top results often come from the vendors themselves. Each page frames the other tool as the weaker choice. That is marketing, not a buying guide.

Outscraper and Apify both show up when teams look for a Google Maps scraper, and both can pull place data. The harder question is which path produces usable local leads — rows with contacts you can actually email — at a cost you can forecast before the job finishes.

MapLeads builds map-lead extraction for a living (Google Maps, Apple Maps, and Bing Maps), so this page is not neutral about product design. It is honest about both generalists: real pricing models, real operational limits, and a third option most pure “vs” posts skip. Competitor prices change; confirm current rates on their sites before you buy.

Table of contents

1. Snapshot: Outscraper vs Apify vs MapLeads
2. Outscraper as a maps-lead tool
3. Apify as a maps-lead platform
4. Side-by-side: interface, skill, and billing shape
5. What enriched Google Maps leads really cost
6. Scale math at 10,000 usable rows
7. The shared limit both tools share
8. MapLeads as the maps-first third path
9. Who should pick which tool
10. Public data and compliance basics
11. FAQ: Outscraper vs Apify for Google Maps
12. Closing take on Outscraper vs Apify

Snapshot: Outscraper vs Apify vs MapLeads

Before the deep dive, here is the short read most vendor pages will not print in one table.

Outscraper is the self-serve generalist: fast for a one-off list, painful once every data layer you need becomes a separate line item. Apify is the developer playground: enormous flexibility, a huge marketplace of actors, and a compute-unit bill that can surprise teams mid-job. MapLeads is the maps-lead specialist in this comparison — not another multi-platform scraper catalog.

Outscraper as a maps-lead tool

Outscraper is the product many marketers try first — and the one they outgrow when maps lead generation becomes the weekly job, not a side experiment.

It is self-serve. You type a keyword and a location, run the job, download a file. No code required for the basic path. Google Maps is one scraper among a large catalog (reviews, other directories, marketplaces, and more). That breadth is the pitch: one account, many sources.

For a fast, no-strings scrape of listing basics, it delivers. Names, addresses, and phone-level fields come out without a engineering project. The friction shows up when you need campaign-ready rows — the kind you would load into a cold email sequence without another enrichment tool.

Outscraper pricing: sticker vs stack

Outscraper often advertises roughly $3 per 1,000 basic Google Maps records, with a few hundred free records to start (commonly around 500). That base rate is real. It is also incomplete.

Names and addresses are not a campaign. Emails are typically an add-on. Validation so half the list does not bounce is another layer. Reviews, photos, and similar fields add more per-thousand charges. Stack what a lead-gen team actually uses and independent write-ups commonly land closer to ~$9–11 per 1,000 for enriched leads, with fuller stacks (base + emails + validation + reviews + photos) reported near ~$14 per 1,000.

So how much does Outscraper cost? It depends entirely on which layers you bolt on. Another operational detail shows up in third-party reporting: the API may lack a hard default spending cap in some setups, so large jobs can keep consuming credits past what operators expected. Teams that budgeted for the $3 headline sometimes meet a much larger invoice once enrichment and overages land.

Treat Outscraper rates as variable. Confirm current ladders and free allowances on their site before you model annual spend.

When Outscraper is a fair fit

• You need a one-time multi-platform scrape and do not want a monthly maps subscription.
• Basic listing fields are enough, or you already own a separate enrichment stack.
• Non-technical operators need a simple form more than a pipeline builder.

When maps leads are recurring, enrichment is mandatory, and finance wants a fixed unit cost, the pay-as-you-go stack becomes the story — not the demo.

Apify as a maps-lead platform

Apify is an automation platform first, not a single Google Maps product. You pick an actor (a pre-built scraper or automation), configure inputs, schedule runs, and pipe outputs into other systems. The Google Maps scraper actors in the store are popular for a reason: large review counts, huge install bases, and real extraction capability when configured well.

If you chain multiple data sources into a custom pipeline, few tools match that flexibility. Amazon one week, custom sites the next, Google Maps in the same org account — that is Apify’s home field.

The same power assumes you can code, or at least tolerate JSON schemas, actor rental, proxy config, and credit monitoring. For an operator who only wants dentists in Ohio with emails, the surface area is heavy.

Apify compute units: why the bill moves

On paper, Apify Google Maps work is sometimes quoted around $1.50 per 1,000 places for a base scrape. In practice, teams routinely pay several times that for usable leads.

Apify pricing is a stack, not a single sticker:

1. Platform subscription — plans often start around the high thirties per month and scale into much higher tiers
2. Compute units — processing your actors consume while they run
3. Actor usage fees — depending on the actor and rental model
4. Proxy and related infrastructure — when jobs need it

Compute units scale with how hard the job works, not only with how many good leads you keep. A run that retries, stalls, or crawls slow sites for contacts burns units the whole time. Add email extraction via a second actor or extra steps, and independent reviews of outscraper vs apify pricing often land both tools in a similar band: roughly $9–14 per 1,000 fully enriched Google Maps leads at scale.

Reviewers commonly note that large jobs get expensive quickly, free tiers are thin, and credits disappear without a tight mental model of what each run costs. That is runtime-based billing when your success metric is “rows I can email,” not “CPU minutes burned.”

When Apify is the right pick

• Engineering owns the pipeline and already lives in actor-based automation.
• Google Maps is one of several sources that must share orchestration and storage.
• You need custom transforms, multi-actor graphs, or non-maps scrapers in the same system.

When the only weekly deliverable is a clean local list, the platform tax is optional friction.

Side-by-side: interface, skill, and billing shape

Both tools scrape Google Maps. Both can pull contact signals from linked websites when configured for it — neither is magically a private contact database. Differences show up in who the UI is for and how you pay for usable data.

Different mechanisms, similar outcome for maps-only teams: you often learn the true outscraper vs apify cost after money has already moved. MapLeads flips that model — plan limits and included enrichment are published on pricing before you export.

For single-tool deep dives, see the dedicated Outscraper alternative and Apify alternative pages. This article stays on the three-way decision.

What enriched Google Maps leads really cost

Below a few thousand records, almost every tool looks affordable. The outscraper vs apify conversation gets serious past that point, because billing models decide whether scale improves your margin or eats it.

Outscraper: layers stack

You control which toggles are on. You also own the mental arithmetic every time the job definition changes.

Apify: subscription + runtime

Base place extraction can look cheap. Usable outbound lists usually do not stay at the base number.

MapLeads: flat plans, enrichment included

MapLeads sells monthly lead volume with verified emails and socials included on every plan. Approximate list economics:

Exports support CSV, Excel, and JSON. Automation paths include a REST API and webhooks. Trial access is a 3-day trial (plan + payment method required to start) — see signup and full plan detail on pricing.

On unit cost for enriched maps leads, MapLeads is intentionally more competitive than per-result stacks that land near $9–14 per 1,000 after email layers. Competitor pricing still changes; always re-check their sites when you model a quarter.

Scale math at 10,000 usable rows

Take a realistic mid-market job: about 10,000 fully enriched Google Maps leads (with emails), not raw place shells.

Pattern: the more you scrape on per-result and runtime models, the more every layer and every compute minute compounds. A flat monthly quota flips that — marginal leads inside the plan do not invent a new per-thousand surprise.

Paid Places API routes charge for requests and still do not hand you a finished outreach file with verified emails. Product context: features and the Google, Apple, and Bing scrapers.

The shared limit both tools share

Outscraper and Apify are generalists. That is a strength when Monday is Amazon reviews and Tuesday is TikTok or a custom site. It is the wrong default for one job: build a clean local lead list, keep only contacts worth messaging, and pay only for those.

Two consequences show up again and again.

1. Filter after you pay

If a large share of businesses in a city have no email, generalist scrapers still charge for every place row first. You delete dead weight later in a spreadsheet. The unit economics of “places scraped” diverge from “contacts you can use.”

2. Country-level coverage is a chore

Google Maps search UIs historically cap how many results a single query returns (often discussed around ~120 per search view). Covering a whole country on pure live-search tools means hundreds of stitched queries, geographic grids, and manual deduplication. Developers can automate that glue on Apify. Marketers still own the operational mess.

Neither tool is “bad” at scraping. Neither was designed as a pure maps-lead product with pre-export filters, multi-map coverage, and flat usable-lead pricing as the center of the UX. That gap is why a third path exists in this comparison.

MapLeads as the maps-first third path

Where Outscraper and Apify scrape widely, MapLeads focuses on map-based lead generation: pull businesses by category and geography, enrich contacts, export, and optionally automate. The product shape is intentionally narrower than a 50-scraper catalog or an 8,000-actor marketplace.

Workflow that matches the job

1. Choose a business type / keyword
2. Set country and city or broader region
3. Apply filters so you only spend credits on rows that match
4. Enrich with verified emails and socials (included on plan) — verification runs through BillionVerify, MapLeads' own sister product, at no extra charge
5. Export CSV, Excel, or JSON — or send work through API / webhooks

Public marketing surfaces show aggregate stats and samples; full contact detail ships after export under your account. Industry and city email-list pages package common market cuts when you want a ready-made angle instead of building every query from scratch.

Filter before credits move

This is the operational opposite of “buy every place, then sort in Excel.” Want businesses with a website, minimum rating, or specific contact signals? Set that before you export. On pure generalist paths you often purchase the wide net first. Here the design goal is never buying rows you already know you will delete.

Multi-map coverage without a second vendor

Local listings do not live only on Google. MapLeads covers Google Maps, Apple Maps, and Bing Maps under one product story so you are not bolting three scrapers together just to triangulate a city.

Predictable monthly economics

Lite ($50 / 15k), Pro ($100 / 40k), and Max ($200 / 100k) publish lead ceilings and include enrichment. That is a different contract from “~$3 base + whatever add-ons + whatever runtime.” For sales ops and agencies, predictable unit cost is part of the product, not a finance afterthought. Full numbers live on pricing.

Sales teams that run city-by-city outbound can keep the same motion every week — see use cases for sales teams — without relearning actor schemas or re-stacking email add-ons.

Who should pick which tool

No scraper is “best” in the abstract. The right pick matches the job.

If you write code and Google Maps is one node in a larger data machine, Apify earns its keep. If you need a fast one-time list across several websites and never want a maps subscription, Outscraper is a reasonable tool. If the weekly deliverable is filtered local leads with contacts, without compute-unit roulette and without stacking email add-ons, MapLeads is the purpose-built option in this trio.

Browse the full alternatives index when you are comparing other scrapers and enrichment tools beyond this pair.

Public data and compliance basics

“Is this legal?” shows up right after the first large export. Whether the question is framed as Outscraper legitimacy or Apify legality, the honest baseline is the same for public business listings.

Scraping publicly available business data — names, addresses, phone numbers, ratings — is broadly treated as lawful in many US and EU contexts when you respect privacy law and platform terms. US case law around public data access (commonly cited via hiQ Labs v. LinkedIn discussions) is often read as protecting access to public information under the CFAA framing. In Europe, GDPR distinguishes personal data from business listing data; standard B2B listing fields are often processed under legitimate interest when done carefully. Under California’s CCPA, publicly available business information is frequently carved out of consumer-privacy scope.

Nuance still matters. How you use the data drives risk. Blasting personal inboxes without lawful basis or opt-out is a different problem from contacting a business at its published address or generic info@ mailbox. Reputable tools stay oriented on public business fields and keep provenance clear. MapLeads focuses on public business extraction from maps sources; your counsel should review your specific outreach and retention policies if real money or regulated verticals are involved. This page is product education, not legal advice.

FAQ: Outscraper vs Apify for Google Maps

Is Outscraper or Apify better for Google Maps leads?

Outscraper is better for fast, no-code, pay-as-you-go jobs when you accept add-on pricing for enrichment. Apify is better for developers who need custom, multi-source pipelines and can manage compute units. For clean local lead lists at a predictable monthly cost with emails included, a maps-first product like MapLeads often beats both on the maps-lead job alone.

How much does Outscraper cost vs Apify in 2026?

Outscraper is pay-as-you-go: about $3 per 1,000 basic records in common published figures, rising toward roughly $9–14 per 1,000 once emails and related layers stack, often with no fixed maps monthly fee. Apify is often quoted near $1.50 per 1,000 base places plus a platform subscription (frequently from about $39/month upward), compute units, and actor fees — landing around $9–14 per 1,000 enriched at scale in third-party write-ups. Both get less predictable as volume and enrichment grow. Verify live pricing on their sites.

How does MapLeads pricing compare for the same job?

MapLeads uses flat monthly plans: Lite $50 / 15,000 leads, Pro $100 / 40,000, Max $200 / 100,000, with verified emails and socials included. That is roughly $2–3.33 per 1,000 depending on plan — materially different unit economics from the ~$9–14 enriched band often reported for the two generalists. Details: pricing.

Is there a free way to try these tools?

Outscraper and Apify commonly offer limited free tiers (Outscraper often around a few hundred free records; Apify a small monthly credit). MapLeads offers a 3-day trial that requires choosing a plan and adding a payment method to start. Use trials to validate coverage and export format, not as a permanent free production pipeline.

Can either Outscraper or Apify filter before I pay for rows?

Pre-extraction filtering is limited on both generalist paths relative to a maps-lead product. You often extract broadly, then filter in a spreadsheet or post-processing. MapLeads is designed so filters shape what you export before credits move for those rows.

Are the emails MapLeads returns actually verified?

Yes. Neither Outscraper's nor Apify's base email layers include verification — you get raw addresses and, if you want deliverability checked, you plug in a separate third-party verification tool at extra cost. MapLeads runs every email through BillionVerify — its own sister product, built and run by the same team — before it reaches your export, at no additional charge on any plan.

Does MapLeads replace Apify for all scraping?

No. Apify remains strong for multi-source automation and custom actors. MapLeads replaces the maps-lead slice when that is the recurring need — Google, Apple, and Bing maps extraction with enrichment and flat plans — not every actor in an enterprise scraping platform.

Is scraping Google Maps legal?

Scraping public business listing data is generally treated as lawful in many US and EU contexts when you respect privacy rules and terms. Court discussions around public data access, plus GDPR/CCPA distinctions for business information, are commonly cited as supportive of careful B2B use. Your use case, retention, and messaging still determine risk — consult counsel for high-stakes programs.

Outscraper vs Apify vs MapLeads — which wins?

Outscraper wins on simple pay-as-you-go multi-source jobs. Apify wins on developer flexibility and marketplace breadth. MapLeads wins when the job is no-code (or API-driven) maps lead generation with pre-export filtering, multi-map coverage, included enrichment, and flat monthly lead quotas. Match the tool to the job, not the loudest vendor page.

Closing take on Outscraper vs Apify

The loudest ranking pages often crown themselves. The practical answer is more useful: Outscraper and Apify are capable generalists that price maps leads in ways that are hard to forecast once enrichment and runtime enter the bill, and neither was built only for filtered local outreach lists.

Developers stitching Google Maps into a larger machine should build on Apify. Teams that want a quick no-subscription scrape across several web surfaces can still pick Outscraper. Teams that want clean map leads without code theater and without a credit-burn learning curve should use a product shaped around that outcome.

Start with MapLeads pricing, review features, or create an account for the 3-day trial. When the list is ready, export and move it into your sequence — the comparison only mattered if the file is usable.