7 best PhantomBuster and Bright Data alternatives for Google Maps lead generation
Compare seven Google Maps lead-gen tools by coverage, pricing, exports, automation and contact enrichment to measure cost per usable lead.

7 best PhantomBuster and Bright Data alternatives for Google Maps lead generation
I’d start with Outscraper for Google Maps lists or Apify for custom scraping. Outscraper’s reported base price is about $3 per 1,000 records - but a business listing isn’t a verified owner contact.
I compare seven alternatives to PhantomBuster and Bright Data by search coverage, listing fields, enrichment for cold outreach, pricing, exports, and automation. For outreach, I’d measure cost per usable contact, not just cost per record.
Quick Comparison
| Tool | Main use | Pricing noted in the article | Exports and automation |
|---|---|---|---|
| Outscraper | Bulk Maps list building | About $3 per 1,000 raw records; enrichment costs extra | CSV, Excel, JSON, API, and scheduled tasks |
| Apify | Custom scraping workflows | Paid plans from about $49/month; Actor fees vary | Dataset exports, API, schedules, and webhooks |
| TexAu | No-code workflows; Maps output needs testing | Confirm current fees and limits | Verify exports and integrations |
| SerpApi | API-led Maps extraction | Search/request billing; confirm rates | JSON API; build CSV or CRM delivery |
| DataForSEO | Task-based Maps API workflows | Endpoint/task billing; confirm rates | API responses; build retrieval and delivery |
| Scrapingdog | Maps extraction for custom pipelines | Confirm request allowances and rates | API; build downstream exports |
| Maps Scraper AI | Simple no-code list building | Confirm pricing and credit rules | Verify export formats and API support |
Across all seven, I’d check geographic coverage, required fields, duplicates, and result limits before buying. You can also follow a guide to scraping Google Maps to optimize your workflow. None should be assumed to provide verified owner contacts.
LocalPipe is an unranked enrichment benchmark, not an eighth alternative. Its reported ~75% owner-name find rate and under 1% email bounce rate are vendor claims, not independent test results.
My next step: <u>test 100 records in your target U.S. niche</u>, verify the emails, and call 10 numbers. Compare usable contacts, total spend, and CRM delivery - and check platform terms and outreach rules before scaling.
7 Google Maps Lead Generation Tools Compared
1. Outscraper
Maps extraction coverage
Outscraper works best for on-demand Google Maps list building. It’s a listing tool first and an enrichment tool second. Search by category and location to pull live records worldwide through the web app or API. SIC/NAICS codes aren’t included [1].
Listing fields and contact enrichment
Base extraction includes names, addresses, and public phone numbers. Email scraping, validation, and phone enrichment cost extra. Website email scraping usually finds generic inboxes [1][2].
For owner-level outreach, LocalPipe is the better fit. It finds owner names, verified owner emails, and direct phone numbers, with a reported 75% owner-name find rate and under 1% email bounce rate. Outscraper can validate scraped emails, but it doesn’t turn listings into owner contacts [1]. Going beyond public listing data means paying for add-ons.
Pricing and usage limits
Raw Google Maps records cost about $3 per 1,000 results. With email scraping, validation, and phone enrichment, the cost reaches roughly $9–$14 per 1,000 records. Outscraper also offers a free tier covering about 500 places per month. Rates depend on the add-ons you choose [1][2].
There are several export options, but the workflow fit depends on how much automation you need.
Exports and workflow automation
Export data as CSV, JSON, or Excel, or use the API, webhooks, and task scheduling for recurring workflows [1][2]. Outscraper has no native CRM sync, so teams usually import data manually or through a custom integration [1]. It works well for handing data to sales ops, but it’s a weaker fit for fully automated prospecting. For more outbound sales tactics, check our latest guides.
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2. Apify
Maps extraction coverage
Apify works best for custom scraping workflows, rather than plug-and-play list building. It’s a good fit for repeatable Google Maps extraction, but not owner-level enrichment. Before connecting an Actor to downstream tools, check its coverage, pagination, limits, and output schema.
Listing fields and contact enrichment
Standard Actors return listing data only: business names, addresses, ratings, review counts, and public phone numbers or websites. Owner-level contacts and verified emails require separate enrichment steps [1].
Use LocalPipe for owner-level outreach and Apify for flexible scraping [1]. For lighter no-code prospecting, TexAu is the next comparison.
Pricing and usage limits
Apify has a free tier, with paid plans starting at about $49/month [1]. Many Google Maps Actors charge around $3 per 1,000 places scraped, though rates vary by Actor [1].
For custom pipelines, compute usage depends on memory and run time. Google Maps scraping may also incur proxy costs [1].
Exports and workflow automation
Export structured datasets as CSV, XLSX, JSON, XML, RSS, or HTML for use in CRM and enrichment tools [1].
You can automate recurring runs through Apify’s REST API, schedules, and webhooks, or use Make and Zapier to send results into CRM workflows. Check the schema before connecting those tools [1]. For a simpler prospecting workflow with less setup, the next option is TexAu.
Top Google Maps Scrapers for 2026 (RANKED)
3. TexAu
TexAu isn’t documented here as a proven Google Maps extractor. Treat it as a workflow tool until live output confirms what it covers. Don’t assume it returns owner contacts - check whether it provides only business listings or adds contact enrichment.
Pricing, limits, and enrichment fees aren’t documented here either. Compare the total cost per usable contact, not the price per seat. Export, scheduling, API, and CRM details are also missing, so verify those before buying.
To build local business lead lists faster, consider TexAu only if a live demo shows Maps extraction with deduplicated, export-ready business records. If it can’t show live Maps output and clean exports, move to SerpApi next.
4. SerpApi
After TexAu’s focus on no-code workflows, SerpApi is the next option for programmatic extraction. Its Google Maps coverage, available fields, pricing, and exports aren’t documented here. Check those details before using it for lead generation.
Don’t assume it includes owner contacts or verified emails. For owner-level outreach, add a separate enrichment layer such as LocalPipe for owner names, verified owner emails, and direct phone numbers[1]. Raw Maps output is a starting point - not a sales-ready lead list.
You’ll also need to verify rate limits, pagination billing, CSV export, and CRM delivery options.
SerpApi suits API-led extraction, but it doesn’t replace owner-contact enrichment. If it doesn’t clearly provide the fields or exports you need, compare it next with DataForSEO.
5. DataForSEO
Maps extraction coverage
DataForSEO offers API-led Google Maps extraction, not a finished lead list. Before using it, verify its Maps endpoint coverage, geographic targeting, and result limits - including whether those limits apply per task or per search. Then check whether the output is clean enough for export and enrichment.
Listing fields and contact enrichment
Check that the response schema includes business names, addresses, websites, phone numbers, and listing IDs for building lead lists of local business owners. Need records ready for outreach? Learn how to cold email local business owners once your list is ready. Pair a raw Maps extractor with a verified enrichment layer.
Pricing and usage limits
Review task-based versus request-based billing, charges for deeper result pages, and how failed tasks are billed. Compare cost per usable record, not just the advertised request price - especially if you’ll send those records to CRM or enrichment tools.
Exports and workflow automation
Check response formats, CSV availability, task retrieval, and CRM integration requirements. If DataForSEO’s API and export path fit your workflow, compare it with Scrapingdog for simpler extraction.
6. Scrapingdog
Maps extraction coverage
Scrapingdog is a raw Google Maps scraper for custom pipelines, not a ready-to-use lead-list tool.[1][2] Like other Google Maps scraping tools, it provides listings. Getting owner contacts requires a separate enrichment layer.[1]
Listing fields and contact enrichment
It returns listing data - not verified owner contacts. Use LocalPipe as a separate layer to add owner contacts.[1]
Pricing and usage limits
The sources reviewed don’t clearly document pricing or usage limits.
Exports and workflow automation
Plan for manual cleanup before importing data into a CSV file or CRM.[1][2] Next, compare Maps Scraper AI’s extraction and workflow options.
7. Maps Scraper AI
Maps Scraper AI is the last no-code option on this list. It’s built for simple Google Maps list building and supports keyword searches, direct Google Maps search URLs, and bulk uploads of cities or ZIP codes paired with business categories.
Use Maps Scraper AI to build raw Google Maps lists, not to find owner contact details. For outreach, you’ll still need a contact-enrichment layer. Pair its exports with LocalPipe when you need owner names, verified owner emails, and direct phone numbers.
Exact fields, coverage, pricing, credit rules, usage limits, export formats, and automation options aren’t documented here. Compare its coverage with Outscraper and Apify, and check whether duplicates or enrichment come with separate charges.
The next section compares these trade-offs: raw exports versus a workflow that also includes contacts, clear pricing, and automation.
Compare data coverage, contacts, pricing, and exports
LocalPipe is an unranked benchmark, not an eighth alternative. The figures and features below come from supplied vendor information. Check current documentation before choosing a tool. These tables separate Maps extraction from contact enrichment, pricing, and automation.
Table 1: Extraction coverage and limits
| Tool | Collection method and search coverage | Filters, previews, and usage limits |
|---|---|---|
| LocalPipe - benchmark | Live, on-demand Maps searches by business type and location | Rating, review count, website presence, and price-level filters with live previews |
| Outscraper | Bulk Maps extraction by category and location | Query and platform limits apply |
| Apify | Configurable Google Maps scraping actors | Filters, pagination, proxies, and limits vary by actor |
| TexAu | Template-based prospecting workflows | Maps availability and execution limits depend on the current automation |
| SerpApi | Structured Google Maps/local-search API results | Query parameters and pagination control retrieval |
| DataForSEO | Maps/local-search API endpoints | Location targeting and result depth vary by endpoint |
| Scrapingdog | API-based collection through supported endpoints | Maps coverage and pagination depend on endpoint configuration |
| Maps Scraper AI | Google Maps business-list extraction | Confirm search inputs, filters, and result caps |
A city search doesn’t guarantee full coverage within a 25-mile radius. Check ZIP code and coordinate support separately, then deduplicate records by Maps ID and domain.
Coverage is only useful if the output contains fields your team can use.
Table 2: Listing fields versus enriched contacts
| Tool | Listing data | Contact enrichment |
|---|---|---|
| LocalPipe - benchmark | Live business identity and location data | Owner names, verified owner emails, and direct phones |
| Outscraper | Business-level Maps records | Separate email/contact services; website contacts may be generic |
| Apify | Actor-dependent Maps fields | Separate enrichment actor or service |
| TexAu | Automation-dependent listing fields | Coverage depends on connected enrichment steps |
| SerpApi | Structured search/listing attributes | Separate enrichment required |
| DataForSEO | Endpoint-dependent listing attributes | Separate enrichment required |
| Scrapingdog | Endpoint-dependent business/search data | Separate contact discovery and verification |
| Maps Scraper AI | Listing fields; confirm the schema | Owner discovery and verification are unconfirmed |
Ask for a sample containing name, category, address, phone, website, Maps URL, rating, review count, coordinates, hours, and business status.
LocalPipe uses public sources and role-based owner lookup rather than generic contact-page scraping. It also uses three-step email verification. Its claimed ~75% owner-name find rate, compared with ~30% for DIY Clay flows, and sub-1% bounce rates are vendor claims - not independent benchmarks.
Table 3: Billing units and added costs
| Tool | Main billing basis | Costs to check beyond extraction |
|---|---|---|
| LocalPipe - benchmark | Credits consumed on successful finds | Export allowances, auto top-ups, and usage terms |
| Outscraper | Usage/volume-based extraction | Separate contact enrichment and verification |
| Apify | Platform usage plus actor-specific pricing | Compute, storage, proxies, and enrichment |
| TexAu | Subscription and usage terms vary by version | Execution allowances and enrichment subscriptions |
| SerpApi | Searches/API requests | Pagination, enrichment, and pipeline hosting |
| DataForSEO | Endpoint/task-based API billing | Result depth, task method, enrichment, and engineering |
| Scrapingdog | Subscription/request allowances | Endpoint consumption, retries, and enrichment |
| Maps Scraper AI | Confirm the current billing model | Export caps, duplicate charges, and enrichment |
LocalPipe bills on successful finds. Compare total cost per usable contact, not just subscription prices. Confirm what counts as a billable success and whether verification is included.
Then check how the data gets to your CRM. Export formats and automation can affect how much cleanup and setup your team needs.
Table 4: Exports and automation
| Tool | Export/delivery | Automation fit and checks |
|---|---|---|
| LocalPipe - benchmark | CSV, REST API, webhook callbacks, and Clay integration | Enrichment workflows with a recovery panel; verify retry behavior |
| Outscraper | File exports and API | Bulk collection; verify scheduling options |
| Apify | Dataset exports, API, schedules, and webhooks | Custom pipelines; actor output consistency matters |
| TexAu | Workflow delivery and exports | No-code orchestration; verify integration availability |
| SerpApi | JSON API | Build CSV/CRM delivery around responses |
| DataForSEO | Structured API responses | Build task handling and retrieval |
| Scrapingdog | API delivery | Build downstream CSV or CRM delivery |
| Maps Scraper AI | Confirm export formats | Occasional exports; API support remains unconfirmed |
For the next comparison, weigh a simple export, a custom API pipeline, or a contact-ready prospecting workflow against your outreach process, team size, and technical setup.
Pros, cons, and recommended workflows
Use this table to match raw extraction tools to your owner-contact workflow.
| Tool | Principal advantage | Principal drawback | Recommended workflow |
|---|---|---|---|
| LocalPipe - unranked benchmark | Built for local owner-contact enrichment, with verified owner emails, direct phone numbers, and pay-on-find credits | Owner matches and contact availability vary by niche; coverage focuses on the United States, with no free tier | Recurring local outreach |
| Outscraper | Low-cost, transparent pay-as-you-go pricing for raw records | Raw exports may include generic info@ emails without verification | Raw exports for analysis or enrichment handoff |
| Apify | Highly flexible custom actors for collection workflows | Requires developer skills to get value from it | Developer-led collection |
| TexAu | Repeatable automation for teams that already use it | Workflow fit and maintenance need testing before adoption | Repeat agency tasks after live testing |
| SerpApi | API-first option for custom pipelines | Still requires downstream delivery and enrichment | Custom API pipelines into CRM/data systems |
| DataForSEO | Endpoint-based collection for scripted workflows | Requires more setup to manage tasks and endpoints | Engineering pipelines with fixed locations and schema |
| Scrapingdog | API delivery that fits into custom automation | Coverage and request usage need testing in your niche | Custom pipelines when output matches required fields |
| Maps Scraper AI | Straightforward extraction for occasional exports | Export limits, API support, and owner enrichment need confirmation | Occasional exports after sampling |
For analysis, extraction is enough. For sales emails or calls, add enrichment. LocalPipe is the benchmark for named-owner outreach.[1]
Local outreach still requires compliance checks. Live scraping and verification don’t guarantee complete results. Check platform terms and applicable privacy duties, including GDPR and CCPA. U.S. email outreach must follow CAN-SPAM and deliverability best practices.[1]
Test before committing to an annual contract. Pull 100 records in your target niche, check the emails with a third-party verifier, and call 10 numbers. Record owner-match accuracy, usable contacts, duplicates, and total spend before signing.[1]
Final verdict: choose the tool for your lead list
For Google Maps lead generation, start with the output you need: listings, API pipelines, or owner contacts. Choose Outscraper for simple CSV or Excel exports, Apify for custom actors, and TexAu for no-code automation.
For API-led workflows, shortlist SerpApi, DataForSEO, and Scrapingdog. Check their coverage, required fields, and billing before choosing. Consider Maps Scraper AI only if its export and automation options fit your workflow.
If outreach matters more than raw volume, move from extraction to enrichment. Choose LocalPipe when you need the actual owner - not just the listing. It enriches live data to find owner names, verified owner emails, and direct phone numbers. You use credits only for successful matches, so compare its cost against the total cost per usable lead from other tools. [1]
Run a pilot in the same U.S. niche across every shortlisted tool. Before scaling, compare usable records, duplicates, enrichment success, and total cost per usable lead. [1][2]
FAQs
How do I calculate cost per usable lead?
Calculate your cost per verified owner lead with this formula: (total platform subscription cost + total credit costs) ÷ number of verified owner leads [2]. Include verification, enrichment, and the time spent cleaning data in your cost estimate, too [1][2].
Outscraper’s $3 per 1,000 records can reach $9–$14 per 1,000 after enrichment and validation [3][4][2]. LocalPipe’s pay-on-find model helps lower costs by charging credits only for successful, verified owner-level results [4][2].
How can I avoid contacting the same business twice?
Use a tool that automatically removes duplicate records. Platforms like LocalPipe combine Google Maps search with owner-level enrichment and typically handle deduplication for you.
If you build custom workflows with raw scrapers like Outscraper or Apify, you’ll need your own deduplication logic - or a separate platform to clean and manage your lead lists before outreach.
How often should I refresh my local lead lists?
Update your local lead lists with live, on-demand enrichment right before each outreach campaign. Business data gets outdated fast as people switch jobs and contact details change. Don’t rely on static, cached databases.
LocalPipe updates its data weekly and gathers information live from 11+ sources when you request it. This helps keep contact details current, support high deliverability, and keep bounce rates below 1%.