Best Google Maps Scrapers for Marketers

For marketers, the best Google Maps scraper depends on how you collect and use leads. Apify is the best starting point when you need an API and a repeatable pipeline. Outscraper is the clearest pay-as-you-go option for bulk business records. Bright Data suits enterprise teams seeking scraping infrastructure and APIs. For no-code workflows, consider PhantomBuster for CRM or outreach chaining, Octoparse for visual task building, or Map Lead Scraper for small browser-based exports.

These are use-case matches based on vendor comparisons, not independent benchmarks or hands-on test results. Pricing and product limits can change; check each vendor’s current terms before committing. Also confirm that your collection and outreach practices comply with applicable laws, platform terms, and your organization’s privacy policies.

1. How to choose a Google Maps scraper

Start with what happens after a business record is collected. A solo marketer building a small list may value a quick export. An agency running repeat campaigns may need saved searches, scheduled jobs, enrichment and CRM delivery. A developer building a lead pipeline may need an API, retry logic and control over data processing.

Decision	What to ask	Usually favors
Billing	Do you pay per record, event, runtime or subscription?	Per-record tools for predictable lists; event or runtime plans for variable workflows
Scale	Is this a one-off list, recurring agency batch or large collection operation?	Lightweight extension, hosted platform or enterprise infrastructure, respectively
Control	Do you need code, API access and repeatable jobs?	API-oriented platform
Handoff	Can the output be filtered, enriched, scheduled and moved into your CRM?	Tools with exports, integrations or programmable pipelines
Operations	How are result limits, runtime, proxies and vendor-maintained changes handled?	Compare practical limits and failure handling, not just the advertised record price

Before selecting a plan, define a small pilot: target locations and categories, required fields, expected unique records, refresh frequency, output format and acceptable cost. Run the same scoped task through the candidates you are considering. Compare usable unique records and time spent cleaning or transferring them, rather than headline records alone.

2. Comparison at a glance

Tool	Good starting fit	Workflow style	Pricing model or note from the research
Apify Google Maps Scraper	Developers and teams building repeatable lead pipelines	Hosted Actor, API-oriented	Free credits and pay-per-event economics; Apify’s comparison lists $4 per 1,000 places
Outscraper Google Maps Scraper	Bulk business records with straightforward usage pricing	Web service and API	First 500 businesses free; $3 per 1,000 records from 501–100,000, then $1 per 1,000 after 100,000
Bright Data	Enterprise collection needs	Scraping infrastructure and APIs	Comparison entry lists $3 per 1,000 records; enterprise options are available
PhantomBuster Google Maps Search Export	Marketers chaining collection into CRM or outreach workflows	Cloud automation billed by execution time	Comparison sources list starting prices of €69/month and $56/month
Octoparse	Marketers who prefer visual task building	Desktop-style visual scraper	Free task allowance; comparison sources list starting prices of $83/month and $119/month
Map Lead Scraper	Small, lightweight exports	Chrome extension	Comparison describes a small free export and a low monthly entry tier

The differing PhantomBuster and Octoparse starting prices come from different comparison pages and may reflect different dates, currencies, plans or assumptions. Treat them as comparison snapshots, not a quote. Outscraper’s stated price tiers are from its current pricing page as accessed in 2026; re-check the vendor’s pricing before purchase.

3. Apify: best starting point for developer pipelines

Apify is a strong first candidate when collection needs to be programmable and repeatable. Its Google Maps Scraper runs as a hosted Actor and supports API-oriented workflows. The comparison source says it can expand extraction beyond the visible Maps result limitation and describes it as useful for marketing lead generation. Apify’s comparison lists free credits and pay-per-event economics, with a figure of $4 per 1,000 places.

Choose it when a developer needs to run jobs consistently, connect collection to other processing steps, or control how the resulting dataset flows into internal systems. Before scaling, inspect the Actor’s input schema, output fields, run limits and billing events. A price per event is not automatically the same as a price per usable, deduplicated lead: measure the output you can actually act on.

Questions to settle in a pilot

• Which query inputs define a job, and can they be saved and versioned?
• Can the job return every field your CRM requires?
• How are partial results and failed runs represented?
• What is billed when a run returns fewer results than requested?
• Can records be exported in a format your downstream process accepts?

For a scheduled pipeline, save the query parameters, run identifier, start time, completion state and record count. Keep raw output separate from normalized CRM records so you can audit changes and rerun processing without recollecting data.

4. Outscraper: clearest pay-as-you-go bulk pricing

Outscraper is the clearest choice in this comparison when you want to estimate the cost of a bulk export from record volume. Its pricing page lists the first 500 businesses free, then $3 per 1,000 records for usage from 501 to 100,000 and $1 per 1,000 after 100,000. It lists CSV, Excel, Parquet and JSON exports, along with advanced filters, enrichments and API access.

That combination is useful for marketers who want to download a list directly, analysts who prefer columnar Parquet output, and developers who need to request collection programmatically. Verify exactly which enrichments or filters affect price, how records are counted, and whether the free allowance applies to your intended workflow. If collecting across many locations, estimate the expected output first and include duplicate handling in your cost model.

Budgeting example

At the listed tiers, a collection of 10,000 records would fall within the $3-per-1,000 tier after the first 500 free, subject to the vendor’s counting rules and current pricing. Do not treat the arithmetic as a guaranteed invoice: confirm whether the tier applies marginally or to all records, whether enrichments add charges, and how retries or repeated queries are counted.

5. Bright Data: enterprise-scale collection

Bright Data is positioned for enterprise-scale data collection through scraping infrastructure and APIs. The cited comparison lists pay-as-you-go Maps/SERP pricing and enterprise options, including a comparison entry of $3 per 1,000 records. For a large team, evaluate more than the unit rate: ask about the operational model, geographic needs, data delivery, support, throughput and contract terms.

Enterprise collection often involves multiple teams and destinations. Document who can launch jobs, how access credentials are managed, where raw records are retained, and who reviews data quality. Ask the vendor how it handles service changes and failed or partial jobs. Treat the comparison figure as indicative, and request current pricing for your actual volume and requirements.

6. PhantomBuster: no-code chaining into CRM or outreach

PhantomBuster’s Google Maps Search Export is a cloud automation option. The comparison sources highlight CRM integration and describe billing by execution time; their listed starting prices differ (€69/month and $56/month). It may fit a marketer who wants to connect a collection step to other cloud automations without building the whole pipeline in code.

Execution-time pricing changes the cost question: estimate how long a workflow runs, how often it runs, and whether retries consume additional time. Check the available integrations and the exact steps needed to map fields into your CRM. Keep a review step before outreach so that a collected business record is not automatically treated as permission to contact someone.

7. Octoparse and Map Lead Scraper: visual and lightweight options

Octoparse is suited to visual, desktop-style task building for marketers who do not want to write code. The comparison describes a free task allowance and paid plans, with starting prices listed as $83/month and $119/month in two sources. It is worth considering when a visual builder matters more than a programmable API. Confirm whether the task runs locally or through a hosted service for the plan you choose, and review its export and scheduling limits.

Map Lead Scraper is a lightweight Chrome extension aimed at small exports. The comparison describes a small free export and a low monthly entry tier. It may be enough for a marketer validating a small list or doing an occasional manual task. Check the export cap and whether the extension collects the fields you need before adopting it for recurring work.

Neither description implies that a visual interface or browser extension removes the need to check platform rules, privacy obligations, output quality or duplicate records. If a small tool becomes part of a recurring campaign, record its limits and have a fallback workflow.

8. A practical selection workflow

1. Write down the job. List the locations, categories, fields, number of records and refresh schedule. Separate required fields from nice-to-have enrichment.
2. Choose an operating model. Pick API-first for a repeatable coded pipeline, per-record bulk export for volume-led collection, enterprise infrastructure for larger operations, or no-code for visual workflows and CRM chaining.
3. Check output compatibility. Confirm CSV, Excel, Parquet or JSON support as needed, then map a sample to your CRM schema.
4. Run a bounded pilot. Use the same query scope where possible. Measure unique usable records, missing fields, total run time, cleanup effort and actual billable units.
5. Plan for maintenance. Decide who checks saved jobs, handles errors, reviews vendor changes and updates the CRM mapping.
6. Review compliance and retention. Set access controls and retention periods, and have the appropriate internal owner review collection and outreach practices.

9. Cost, scale and reliability considerations

Compare total operating cost, not a single advertised rate. A useful model is: collection charges + plan or runtime charges + enrichment + engineering time + data cleanup + CRM or storage costs. For an API pipeline, include the time to maintain jobs and recover from partial results. For a no-code workflow, include execution limits and the staff time needed to inspect exports.

Use a stable query plan and store each run’s input, date, output count and status. Deduplicate records before importing them into a CRM, and define which fields make a record equivalent for your business. For recurring tasks, decide how to handle changed details and stale leads instead of blindly adding every run as new contacts.

Reliability depends on both the provider and your workflow. Avoid assuming that a completed task means every target was captured. Check for empty or partial outputs, unexpected field changes and unusually large count swings. Keep a small sample for manual review and alert someone when a scheduled run fails or falls outside expected bounds.

10. Common problems and fixes

Symptom	Likely cause	Practical fix
Fewer records than expected	Query scope is narrow, results are limited, or the requested area/category has fewer matches	Split broad geography into smaller areas, review filters and compare the returned count with a manual sample
Duplicate businesses	Overlapping location queries or repeated scheduled runs	Normalize names and addresses, deduplicate before CRM import, and retain source/run metadata
Required CRM fields are blank	The source output does not include the field, or enrichment is optional	Inspect a sample export first; enable only needed enrichment and check its price
Run is slow or consumes more runtime than expected	Large search scope, vendor-side processing, retries or execution-time billing	Use a bounded pilot, split jobs, set a runtime budget and review run logs
API integration fails	Invalid credentials, changed inputs, rate or plan limits, or an unhandled partial response	Check the current API documentation and response, validate inputs, add bounded retries and log run IDs
Export will not import cleanly	Encoding, delimiter, column naming or schema mismatch	Test a small file, map columns explicitly and use a stable intermediate schema
Costs differ from the estimate	Tier rules, runtime, enrichment or retry billing were misunderstood	Confirm current billing definitions with the vendor and compare invoice units against run logs

11. ScreenshotNeo for the screenshots around a lead campaign

Google Maps scrapers collect business records; ScreenshotNeo is a separate website screenshot API and MCP server for developers. It can help a marketing team capture a business’s public website for research or create a visual reference alongside a lead record. It does not scrape Google Maps or replace the tools above. If your workflow needs those website screenshots, ScreenshotNeo is the alternative to try first: cookie banners, newsletter popups and chat widgets are removed before capture, and only clean shots are billed.

A simple request returns an image or PDF. See the ScreenshotNeo API documentation for options and setup.

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

import requests

r = requests.get(
    "https://api.screenshotneo.com/v1/shot",
    params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"},
    timeout=90,
)
open("shot.webp", "wb").write(r.content)

const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);

ScreenshotNeo also has full-page capture with lazy images loaded, selector capture, device presets, custom CSS and JavaScript, request blocking, headers and cookies, caching with a chosen TTL, signed public image links, async jobs, bulk capture of up to 100 URLs per call, and a usage API. Its MCP server provides take_screenshot, get_page_info and capture_pdf for Claude, Cursor and other MCP clients. Bot checks/CAPTCHAs, blank pages, timeouts, failed loads and cache hits cost nothing; response headers report the page verdict and billing status. The free plan includes 1,000 screenshots a month without a card; paid plans start at $5 for 3,000. Sign up for 1,000 free screenshots a month, with no card required.

12. FAQ

Which scraper should a developer try first?

Start with Apify if API access, a configurable hosted Actor and a repeatable pipeline are central to the job. Compare the output fields, billing events and maintenance needs in a small pilot.

Which option is easiest to budget for bulk records?

Outscraper has the clearest stated per-record tiers in this research. Verify current tier rules, record counting and optional enrichment charges before estimating a campaign.

Which tool is best for a marketer who does not code?

PhantomBuster is a candidate when cloud automation and CRM or outreach chaining matter. Octoparse suits visual task building; Map Lead Scraper is aimed at lightweight exports.

Do these tools guarantee every result shown on Google Maps?

No guarantee is established by the research provided. Result coverage can depend on query scope, limits and vendor implementation; validate a sample and inspect current vendor documentation.

Are the listed prices guaranteed current?

No. The Outscraper tiers are reported from its pricing page as accessed in 2026, while other figures come from vendor comparison pages. Recheck vendor pricing and terms before buying.