Pricing

from $4.97 / 1,000 results

US B2B Leads Scraper — Google Maps

Scrape verified US business leads from Google Maps by niche. Returns name, phone, website, email, rating, and GPS coordinates. Live progress, duplicate-free multi-query runs. US-only, zero personal info.

Pricing

from $4.97 / 1,000 results

Rating

0.0

(0)

Developer

Daniel Dimitrov

Actor stats

Bookmarked

Total users

Monthly active users

18 days ago

Last modified

Changelog

[2.1] - 2026-07-12

Reliability

Maps navigation retry on Apify — on Page.goto timeout, reinitialize browser and retry once (core/navigation.py).
Fixes multi-query failures (e.g. nail salon query 2/3 on build 2.0.2).

Data quality

Phone from listing cards — extract from phone button aria-label, data-item-id tel:, and tel: links in card JS.
Two-pass place URL phone enrichment on Apify — collect all listing cards first, then visit place URLs for missing phones (salons hide phone until full place view).
core/phone_extraction.py + tests.

Verified (build 2.1.3)

Salons: 3/3 queries, 60 leads (was 2/3 on 2.0.2).
Phones: plumbers 3/3; salons 2/5 on smoke test (was 0/40).

[2.0] - 2026-07-12

Speed (Apify fast path)

Skip Playwright email fallback on Apify — aiohttp only; avoids extra tabs + ~10–30s/query.
Tighter listing extraction — 8s → 6s timeout per card on Apify (5s regressed on frozen DOM).
Circuit breaker — stop after 3 consecutive listing timeouts when leads already collected.
Health check aborts frozen page — don't burn full run budget timing out every card.
Fewer email HTTP paths + shorter aiohttp budget on Apify.
Faster scroll — shorter settle/pause; max 2 scrolls on Apify.
Cap listings processed — at most max_results + 3 cards per query.
Close stray browser tabs between queries (fixes multi-query nav failures).
core/performance.py + tests/test_performance.py.

Verified (salons cohort, build 2.0.2)

40 leads in ~140s (was 7 leads / 344s on 1.9.1; 0 leads / 547s on 2.0.1).

[1.9] - 2026-07-12

Fix — salons / use_proxy cohort (0 results)

Skip browser proxy for Google Maps on Apify — datacenter proxy caused Page.goto 20s timeouts on every query; emails already use direct aiohttp.
Longer Maps navigation timeout on Apify — 20s → 40s; listing wait 8s → 12s.
Local proxy fallback — if browser proxy navigation fails, reinitialize without proxy and retry once.
core/proxy_strategy.py + tests/test_proxy_strategy.py.

[1.8] - 2026-07-12

Performance & revenue (apify-improve)

Apify proxy for use_proxy on cloud — free public proxies broke Google Maps (0 results on LA salons cohort). Now uses Actor.create_proxy_configuration() on Apify; free-list proxies remain local-only.
Deadline-aware multi-query scheduling — core/run_scheduling.py skips remaining queries and Playwright email fallback when run budget is too low (Pattern C/E).
Regression tests — tests/test_run_scheduling.py, tests/conftest.py for legacy google_maps_scraper imports.
Cohort inputs — .actor/test-salons-la.json, .actor/test-qa-prefill.json.

[1.3] - 2026-03-12

Email Extraction Overhaul

Visible-text-only extraction — strips <script>, <style>, HTML comments, and ALL HTML tags before regex matching. Eliminates false positives from JS code, CSS, CDN URLs, and HTML attributes
mailto: link extraction — extracts emails from href="mailto:..." attributes (highest confidence source)
Domain-matching preference — emails whose domain matches the website domain are preferred over random matches
Obfuscation detection — catches info [at] domain.com, info(at)domain.com, info AT domain.com patterns
Junk domain blacklist — filters CDN/tracking domains (parastorage.com, wixstatic.com, gstatic.com, cloudfront.net, etc.)
Stricter TLD validation — TLD limited to 2-6 chars, domain name must be ≥2 chars (rejects JS like n.d@a.length)
More contact paths — checks 8 paths: /contact, /contact-us, homepage, /about, /about-us, /team, /staff, /company
Playwright fallback — for leads where aiohttp found no email, uses already-open browser to visit /contact with JS rendering (5s budget)
Increased aiohttp budget — per-request timeout 5→8s, overall budget 8→15s, read limit 500KB→1MB

Test Results (local)

Query	Leads	Time	RAM	Emails	False Positives
plumbers in New York, NY	10/10	29s	256MB	2/9*	0 ✅
lawyers in Miami, FL	10/10	29s	356MB	4/10	0 ✅

*9 leads had websites; 2 had visible business emails

[1.2] - 2026-03-14

Data Completeness Overhaul

aiohttp email extraction — replaced browser-based email scraping with concurrent aiohttp requests (zero browser memory, 2.4x faster)
- Checks 5 paths per website: /, /contact, /contact-us, /about, /about-us
- No proxy needed — direct HTTP with gzip encoding
- ~75% email hit rate on reachable sites
Address enrichment — parses city/state from search query (e.g. "plumbers in New York, NY") and appends to partial street addresses from listing cards
Word-boundary street suffix detection — fixes false positives where business names containing "Plumbing", "Drive", "Court" etc. were misidentified as addresses
- Uses \b regex boundaries instead of substring matching
- Requires at least one digit in address text (street numbers)
Phone regex updated — now matches +1 XXX-XXX-XXXX international format shown in Google Maps cards

Test Results (local)

Query	Leads	Time	RAM	Phones	Addresses	Emails
plumbers in New York, NY	10/10	18s	249MB	10/10	10/10	3/10
dentists in Austin, TX	10/10	23s	329MB	0/10*	10/10	0/10*

*Dentist listing cards don't show phone/website in Google Maps card view

Memory

Default memory reduced from 1024MB back to 512MB
Peak RAM: 249-329MB — well within 512MB limit
Version bumped to 1.2

[1.1] - 2026-03-12

Memory Optimization (fits in 512MB!)

Reduced default memory from 2048MB to 512MB (min 512MB, max 2048MB)
Peak RAM: ~245MB (full process tree incl. Chromium) — well under 512MB
Removed --single-process Chromium flag (increases memory with Playwright)
Added low-memory Chromium flags: --disable-renderer-backgrounding, --disable-backgrounding-occluded-windows, --js-flags=--max-old-space-size=256, --disable-extensions, --disable-background-networking
Sequential email extraction with single reused page (vs. N concurrent pages)
Updated pricing to $0.004/lead ($4/1000) — competitive with official Google Maps Scraper
Actor version bumped to 1.1

Performance (target: <30s per query on Apify)

Single JS evaluate() per listing — replaces 8+ sequential Playwright DOM queries, 10x faster extraction
Replaced fake-useragent (network download at startup) with 5 hardcoded modern User-Agent strings
Fast sponsored-listing detection via JS evaluate (was slow inner_text() with 2s timeout)
Sequential email extraction with 12s budget, 3s per-lead timeout, reused page
Reduced page load timeout from 60s to 20s
Reduced per-listing extraction timeout from 15s to 8s
Reduced email page timeout from 5s to 3s on Apify
Reduced listing wait-for-selector timeout from 15s to 8s
Reduced scroll-and-load sleep from 0.8s to 0.5s on Apify, max scrolls from 3 to 2
Reduced consent dialog delays by 60-70%
Increased _human_delay Apify scaling from 5x to 10x reduction
Skip sponsored/ad listings that cause DOM hangs
Added timing instrumentation to scrape() and apify_main()

Dependencies (image size reduction)

Removed pandas + openpyxl (~80MB) — only used for optional local Excel export
Removed requests — all HTTP uses Playwright or aiohttp
Removed fake-useragent — replaced with hardcoded UA pool
Removed sqlite-utils — unused (sqlite3 stdlib already used)
Removed email-validator — unused (custom regex validation in validators.py)
Total: 6 dependencies removed, ~100MB+ smaller image

Optimizations

Skip SQLite/Exporter initialization in Apify mode (not needed)
Removed EMAIL_EXTRACTION_DELAY in Apify mode (no per-site delay)
Email extraction logs count of emails found

[1.0] - 2026-03-08

Added

Google Maps scraping with Playwright stealth for US business leads
Niche-pack labelling — tag every lead batch for easy filtering
Business email extraction from websites (info@, contact@, sales@ only — personal emails filtered)
US-only enforcement — non-US results discarded before output
Rate limiting (5–10 second delays, max 6 requests/minute) built-in and cannot be disabled
GDPR/EU detection — flags EU addresses and coordinates
Multi-query support — run multiple search queries in one Actor run
Pay-per-event billing via Actor.charge("result-scraped", 1)
Output: name, address, phone, website, email, rating, reviews_count, category, GPS coordinates, niche_pack label
Local CLI mode with CSV, JSON, and Excel export
SQLite storage for local deduplication
Proxy rotation support (optional, for large runs)
30+ compliance tests covering rate limiting, email filtering, EU detection, data validation

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US B2B Leads Scraper — Google Maps

Changelog