Top 6 Google Maps Scrapers 2026 (Tested + Priced)
The top Apify Google Maps actors for 2026 (verified May 2026): 1. Compass Google Maps Scraper — from $2.10 / 1,000 places on Business tier. 2. Compass Google Maps Extractor — $5/1K (Free), $4 (Starter), $3 (Scale), $2.10 (Business). 3. lukaskrivka Google Maps with Contact Details — from $2.10 / 1,000 places, with email enrichment. Apify's $5 free credit scrapes ~1,000 places at no cost.
Quick answer: The best Google Maps scrapers for 2026 are the Apify Google Maps Scraper (easiest no-code option—the same popular Store Actor is published under
compass/crawler-google-placesfor high-volume grid runs), and custom Playwright or Crawlee scripts (maximum control). Add Bright Data when you need enterprise proxy infrastructure or off-the-shelf datasets.
Google Maps is the default global directory for local businesses: names, addresses, categories, ratings, websites, and phone numbers in one place. The hard parts are dynamic loading, anti-bot friction, and pagination limits (roughly 100–200 results per search viewport without splitting geography into smaller searches). This guide compares serious options—cloud Actors, APIs, no-code tools, and custom code—so you can pick by team skills, volume, and compliance.
Browse Google Maps Actors in the Apify Store →
Comparison table: Google Maps scraping approaches (2026)
| Tool / approach | Best for | How it works | Honest tradeoff |
|---|---|---|---|
Apify Google Maps Scraper (compass/crawler-google-places) | Teams that want fast setup, API/scheduling, and structured datasets | Managed browsers + platform storage; strong community Actor with grid-style coverage patterns | Pay-per-result from $2.10 / 1,000 places (Business tier); complex enrichment may need extra Actors |
| Bright Data | Enterprise unblocking, proxy-heavy custom scrapers, or buying pre-aggregated data | Residential/mobile proxies, Scraping Browser, datasets, and IDE-style scrapers | Google Maps SERP API $1.50 / 1K results pay-as-you-go (down to $1.00 on $1,999/mo Premium); enterprise buying motion |
| ScraperAPI | Devs who want a simple HTTP API and already have pagination logic | You request URLs; the service returns HTML/JSON-like payloads with rendering options | You still design grid searches and deduplication; Maps-specific edge cases are on you |
| Outscraper | Managed “tell us the query” data delivery | Web UI + API focused on Maps and similar local data products | Less flexibility for arbitrary code inside the extraction pipeline |
| Octoparse | Non-developers comfortable with visual workflows | Point-and-click flows on desktop or cloud runners | Heavy runs need good proxies; local IPs can trigger CAPTCHAs quickly |
| Playwright / Crawlee | Engineers who need full control, custom fields, or private deployment | Your code drives the browser and APIs | Maintenance burden: selectors, throttling, grids, and legal review stay on your team |
Reality check: No tool “defeats” Google’s terms of service or robots rules for you. Choose conservative rates, respect opt-outs, and involve legal/compliance for regulated data (health, minors, EU privacy, etc.).
1. Apify Google Maps Scraper (compass/crawler-google-places)
The Google Maps Scraper on Apify is the most direct path for no-code runs, API-triggered jobs, and integrations (Zapier, Make, n8n, Google Sheets, LangChain, and more via the platform).
Why teams pick it
- Fast time-to-data — configure search terms, areas, or URLs in the console and export to JSON/CSV.
- Scales in the cloud — scheduling, webhooks, and datasets are built in.
- Ecosystem — pair with other Actors for reviews, photos, or website enrichment (emails rarely ship in the base Maps row).
- Transparent pricing — verified May 2026: from $2.10 / 1,000 scraped places (Business plan rate); the sister Google Maps Extractor is $5 / 1K (Free), $4 (Starter), $3 (Scale), $2.10 (Business). The free plan ships with $5 in credit — roughly 1,000 places scraped before you pay a cent.
When to reconsider
- You need bespoke on-prem execution only.
- Your workflow requires custom models inline on every row with no secondary step.
CTA: Run the Google Maps Scraper on Apify · Search all Google Maps tools in the Store
2. Bright Data (proxies, browser infra, datasets)
Bright Data is strongest when IP reputation, ASN diversity, or purchased geographic datasets matter as much as the scraper itself.
Why teams pick it
- Proxy depth for difficult targets when paired with your own or third-party scrapers.
- Scraping Browser and similar products for remote browser execution.
- Dataset marketplace for skipping a full extraction project when static coverage is enough.
Tradeoffs
- Budget — the Google Maps SERP API starts at $1.50 / 1,000 results pay-as-you-go and drops to $1.00 on the $1,999/mo Premium tier (verified May 2026); enterprise-grade networking and compliance tooling costs more than a single Store Actor.
- You still need a clear data model and engineering unless you buy a finished dataset.
CTA: Explore Bright Data
3. ScraperAPI (rendering API, your orchestration)
ScraperAPI is a rendering + proxy gateway: your stack sends URLs and parameters; you get back content suitable for parsing.
Why teams pick it
- Familiar pattern for Python/Go/Node data engineers.
- Fast to wire into existing ETL if you already solved deduplication and geographic tiling.
Tradeoffs
- Maps pagination (the “~120 results” problem) is still your algorithm.
- Long chains of dependent requests need robust retries and idempotent storage.
4. Outscraper (managed Maps data products)
Outscraper focuses on business listings workflows with a productized UX: specify categories and regions, receive tabular output.
Why teams pick it
- Low operational overhead compared to maintaining custom browsers.
- Good when the schema matches what the product exports.
Tradeoffs
- Less room for arbitrary code inside the vendor’s black box.
- Custom scoring, NLP on reviews, or odd fields may require another system.
5. Octoparse (no-code visual scraping)
Octoparse helps non-developers build flows by clicking through a rendered page and defining fields.
Why teams pick it
- Visual debugging for one-off audits and smaller recurring jobs.
- Can be enough for hundreds of well-bounded tasks with proper runtime settings.
Tradeoffs
- Home or office IPs on large Maps jobs often hit rate limits; plan for rotating proxies and realistic throughput.
- Very large national grids may be cheaper on a serverless Actor model.
6. Custom Playwright + Crawlee (maximum control)
Open-source Playwright with Crawlee (or plain Node/Python) gives full control: custom fields, private networking, and bespoke enrichment pipelines.
Why teams pick it
- Fork/extend anything — embeddings, classification, CRM-specific transforms.
- Run anywhere: laptop, Kubernetes, or Apify as the host.
Tradeoffs
- You monitor DOM changes, CAPTCHAs, and storage costs.
- Engineering time is usually higher than configuring a maintained Store Actor.
CTA: Read the Apify developer hub · Crawlee documentation
Use cases that justify Google Maps scraping
| Use case | What you extract | Why Apify or code wins |
|---|---|---|
| Lead generation | Business name, phone, website, category, ratings | Apify Google Maps Scraper → CSV/CRM, then optional email enrichment Actors. |
| Market research | Density of competitors, hours, price hints, review volume | Combine grid searches with analytics; export to Sheets or a warehouse. |
| Competitive analysis | Nearby rivals, ratings trends, review themes | Schedule runs; diff datasets week over week for the same polygon. |
Practical pattern: Maps scrape → normalize → dedupe on placeId or stable URL → enrich websites → sync to HubSpot, Clay, Airtable, or your data lake.
How to choose (fast decision)
- No-code / growth team → Start with Apify Google Maps Scraper and export to Sheets or your CRM.
- Engineering-owned pipeline → Crawlee + Playwright on Apify or your cloud; add Bright Data proxies if blocks spike.
- “Just buy the table” → Evaluate Bright Data datasets or Outscraper for coverage and refresh cadence before building.
FAQ
It depends on jurisdiction, what you scrape, how you use it, and Google’s terms. Public business listings are often treated differently than user content or PII-heavy datasets. Get legal advice for regulated industries, cold outreach compliance (e.g., CAN-SPAM, GDPR), and respect robots.txt and platform policies.
Google Maps search results are tied to a viewport and query. To go deeper, split the area into smaller geographic tiles or multiple queries, then deduplicate by place ID or canonical URL. Quality Actors automate that partitioning.
Usually not in the default listing row. Use website URLs from the export with a dedicated enrichment Actor or workflow. See our guide on extracting emails from Google Maps listings linked in the related guides above.
They refer to the same popular Store Actor: compass/crawler-google-places. Use the console for no-code runs or the Apify API/SDK for production automation.
ScraperAPI is a rendering/proxy HTTP API; you still own orchestration and Maps-specific pagination. Apify’s Google Maps Actor packages a maintained extraction flow plus platform features like datasets, webhooks, and scheduling.
When you need nonstandard fields, deep integration with internal systems, custom throttling, or you must run inside your own VPC—and you have engineering time for ongoing maintenance.