Outscraper Pricing Explained (2026): What You'll Actually Pay

Outscraper pricing is per-task and adds up faster than the homepage calculator suggests. Every service — a places search, a place details fetch, a reviews export, an email enrichment — is billed as its own task with its own per-record rate. A useful lead list usually requires three or four of those tasks chained together, so looking at one headline rate will under-budget you by a factor of two or three.

This guide walks through how Outscraper pricing actually works in 2026, where the hidden multipliers live, and how the same job priced on MapsLeads compares.

How Outscraper pricing works

Outscraper bills per task — one scraping service applied to one record. The tasks relevant to local B2B prospecting:

• Places search — query + location, returns Google Maps places.
• Place details — given a place ID, returns the full profile (categories, hours, website, phone, attributes).
• Reviews extraction — given a place ID, returns the review feed.
• Email and contacts enrichment — given a website, finds email addresses and social profiles.
• Photos extraction — given a place ID, returns photo URLs.

Each task has its own per-record price, and rates drop as monthly volume rises (tiers at a few thousand, tens of thousands, then hundreds of thousands of records). You can pay as you go or buy prepaid credit packs that bring the effective rate down further.

The model is clean: you only pay for what you ask for. The catch is that "what you ask for" is rarely one task — a usable lead almost always needs several tasks stacked.

The hidden costs

Here is where most first-time Outscraper users get surprised on their first invoice.

Place details is a second bill, not part of the first. A places search returns a thin record: name, address, place ID, sometimes a phone or website. The full profile (hours, categories, attributes) requires a separate place details task per record. For 500 places, you have doubled your per-record cost before enrichment begins.

Reviews are a separate task. Pulling the review feed is its own per-record charge, scaling with how many reviews per place. The latest 10 reviews on 500 businesses is 5,000 review records.

Email enrichment is yet another task. Emails are not in places search or place details. You feed website URLs into email enrichment and pay per domain processed — including domains where no email is found.

Photos extraction is a fourth task. A separate per-record charge if you need photos.

The pattern: per-task pricing looks cheap on the rate card, but the realistic workflow is places search + place details + reviews + email enrichment — four billable lines per record, not one.

Real-world cost example

Typical scope: 500 local businesses in one city, full lead profile, ready for an SDR.

Pipeline on Outscraper:

1. Places search — 500 task records at the places search rate.
2. Place details — feed the 500 place IDs in. 500 records at the place details rate (typically the most expensive of the four).
3. Reviews extraction — latest 10 reviews per place: ~5,000 review records at the reviews rate.
4. Email enrichment — 500 website domains in. 500 records at the email enrichment rate, regardless of hit rate.

Four invoices on one logical job: roughly 500 + 500 + 5,000 + 500 = 6,500 billable records to produce 500 finished leads. Even at volume rates, the all-in cost per finished lead lands at roughly three to five times the per-record places search rate.

How Outscraper pricing compares to alternatives

Three different pricing philosophies dominate this space.

Per-task / pay-as-you-go (Outscraper, Apify). Pay per operation per record. Cheap when scope is narrow, expensive when broad because each enrichment step is a new line item. Best for engineers who know exactly which tasks they need.

Flat monthly subscription (Phantombuster, D7 Lead Finder, ZoomInfo). Fixed sum for a quota of credits, runs, or seats. Cheap if you saturate the quota each month, expensive per lead if you do not. Subscription credits typically reset monthly. ZoomInfo also bundles enterprise features you cannot opt out of.

Credit-based with bundled outputs (MapsLeads). Credits never expire, and one credit covers the core lead profile rather than a single task. Modules (Contact Pro, Reputation, Photos) are opt-in surcharges per lead. No "place details" line item — the base lead already contains standard profile fields. See Google Maps API pricing vs scraping for how this compares to the official Google Places API.

Outscraper vs MapsLeads pricing

The biggest difference is what one unit of billing actually buys.

On Outscraper, one billed record is the output of one task. A places search record is thin. A place details record is fat. A reviews record is one review. A usable lead requires stacking three or four of these.

On MapsLeads, one credit buys a Base lead — name, address, phone, website, category, location, and standard profile fields — from a single search. You do not pay extra to "get the details" because the details are part of the base record. From there, opt into modules:

• +1 credit Contact Pro — verified email and decision-maker phone where available.
• +1 credit Reputation module — rating, review count, latest review snippets, and review keywords.
• +2 credits Photos module — business photos pulled into the lead record.

For the 500-lead scope above, with Contact Pro and Reputation enabled, the math is clean: 500 x (1 + 1 + 1) = 1,500 credits. No second invoice for details, no per-review charge, no per-domain enrichment fee whether or not an email is found.

In practice this is cheaper than Outscraper for any workflow needing more than one task per record — which is most sales and marketing workflows.

When Outscraper's per-task pricing wins

Per-task pricing is the right model in a few cases:

• You need exactly one data type at scale. Photos for 1,000 places to feed an internal product. Reviews for 5,000 places for sentiment analysis. A flat list of place IDs to seed a database. Single-task jobs skip the stacking problem.
• You are a developer orchestrating tasks via API with logic to avoid redundant work. Detecting duplicate place IDs across queries and skipping re-fetches makes per-task efficient.
• Your scope hits deep volume tiers. At hundreds of thousands of records the per-task rates fall meaningfully.

For background on the product itself, see the Outscraper review.

When MapsLeads' credit pricing wins

The credit model wins almost everywhere a sales or marketing team is the buyer:

• Your unit of work is "a lead," not "a task." You think "give me 500 dentists in Lyon with email and rating," not "run places search, then details, then email." Credit pricing matches how you scope the job.
• You want predictable budgeting. Multiply lead count by credit cost — that is the bill, before you press run.
• You will use the data over time. MapsLeads credits do not expire, so a 5,000-credit purchase costs the same whether you spread it across the year or burn it in a week.
• You want bundled exports. CSV, Excel, and Google Sheets export, deduplication across groups, the wallet, and the billing dashboard are all included.

The full feature-by-feature breakdown is in LeadMap vs Outscraper.

How to estimate your cost on MapsLeads

Estimating your bill on MapsLeads takes about thirty seconds and uses the product itself as the calculator.

1. Open Search and type your query (for example, "plumbers") plus your city.
2. The result count appears before you commit any credits — that is the number of leads the run would produce.
3. Decide which modules to enable:
   • Base lead — 1 credit per lead. Always included.
   • Contact Pro module — +1 credit. Verified email and decision-maker phone where available.
   • Reputation module — +1 credit. Rating, review count, latest review snippets, and review keywords.
   • Photos module — +2 credits. Business photos.
4. Multiply result count by the sum of the per-lead costs for the modules you enabled.

Concrete example: 500 plumbers with Contact Pro and Reputation enabled. That is 500 x (1 + 1 + 1) = 1,500 credits. Add photos and you have 500 x 2 = 1,000 more, for a total of 2,500.

Credits callout: 1 cr Base, +1 Contact Pro, +1 Reputation, +2 Photos. That is the entire pricing surface — no place details surcharge, no per-review fee, no separate email task.

Once the search has run, you can deduplicate against existing groups, organise leads into groups, and export to CSV, Excel, or Google Sheets without spending more credits. Refills happen in the wallet; everything is itemised in billing.

FAQ

How much does Outscraper cost? There is no single number — pricing is per task, per record, with volume tiers. Places search is the cheapest task; place details, reviews, and email enrichment are each more expensive and each billed separately. For a stacked workflow producing finished leads, expect the all-in cost per lead to be three to five times the headline places search rate.

Is Outscraper expensive? For a single-task job at high volume, no — the per-record rates and volume discounts are competitive. For multi-task workflows (the typical sales case), it becomes expensive because each enrichment step is a separate billed task.

Outscraper vs MapsLeads pricing — which is cheaper? For full lead profiles, MapsLeads is usually cheaper because one credit covers the base lead and modules are flat per-lead surcharges rather than separate per-record tasks. For single-data-type jobs at very high volume, Outscraper's per-task model can win.

How do I estimate my Outscraper cost? List every task your workflow requires (places search, place details, reviews, emails, photos), estimate the records produced by each, and multiply by the per-record rate at your volume tier. Do not stop at the places search rate — that is the smallest line item.

Do MapsLeads credits expire? No. Credits stay in your wallet until used.

Verdict

Outscraper's per-task pricing is honest about what it charges per operation, but the operations needed to produce a usable lead almost always stack into three or four billed tasks. If your workflow is "finished leads with contact and reputation signals," MapsLeads' credit model tends to be both cheaper and easier to predict.

To see the math against your own scope, open Pricing for the credit packs, or Get started and run a test search — the result count and credit cost are visible before you commit.