Warehouse Lead Scraper
Pricing
from $1.50 / 1,000 results
Warehouse Lead Scraper
π¦ Warehouse Lead Scraper gathers warehouse and distribution center leads from Google Maps in bulk. π Address, geo, ratings, plus emails, phones & social profiles. π Built for logistics software sales & material handling vendors.
Pricing
from $1.50 / 1,000 results
Rating
0.0
(0)
Developer
Code Beat
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Warehouse Lead Scraper
Warehouse Lead Scraper is an Apify actor for building warehouse lead generation lists from publicly available business data. It helps you find warehouse businesses, warehousing companies, and logistics leads, then enrich them with contact details like emails, phone numbers, and social media profiles. If you work on warehouse prospecting, warehouse contact data, or broader B2B lead scraper workflows, this tool saves hours of manual research and turns it into structured results at scale. π
What is Warehouse Lead Scraper? π
Warehouse Lead Scraper is an automated scraping tool built to collect publicly available business contact data for warehouse businesses and related industrial leads. It is designed for marketers, sales teams, recruiters, and data analysts who need a practical way to build lists of warehouse decision makers, warehouse managers, and other relevant contacts. The actor uses your search term and location filters to find matching results, then gathers available contact details into a clean dataset. Itβs a useful warehouse email scraper and warehouse phone number scraper for targeted outreach.
What Data Does a Warehouse Lead Scraper Collect? π
This actor captures business identity details, contact information, location fields, and simple performance signals so you can quickly review and segment warehouse leads. The output is structured for easy export and analysis, making it ideal for warehouse operations research, warehousing companies lists, and supply chain leads.
| Data Category | Field Name | Description | Available |
|---|---|---|---|
| Identity | name | Business name | β Always |
| Web Presence | website | Business website URL | β Always |
| Contact | phone | Main phone number | β Always |
| Address | full_address | Full street address combined into one field | β Always |
| Location | city | City from the business address | β Always |
| Location | state | State from the business address | β Always |
| Location | zip | ZIP code from the business address | β Always |
| Location | country_code | Country code from the business address | β Always |
| Contact | scraped_emails | Emails found from publicly available sources | β Always |
| Contact | scraped_phones | Phone numbers found from publicly available sources | β Always |
| Contact | scraped_social_media | Social media links found from publicly available sources | β Always |
| Metrics | emails_found | Number of emails found | β Always |
| Metrics | pages_scraped | Number of pages scraped | β Always |
| Social Proof | avg_rating | Average rating | β Always |
| Social Proof | total_reviews | Total reviews | β Always |
| Coordinates | lat | Latitude | β Always |
| Coordinates | long | Longitude | β Always |
| Identity | place_id | Place identifier | β Always |
| Status | scrape_status | Scraping status for the record | β Always |
Types of Data I Can Extract with Warehouse Lead Scraper ποΈ
Contact Data
- Email addresses from publicly available sources
- Phone numbers for direct outreach
- Social media links for additional verification or relationship building
Business Identity Data
- Business name
- Website
- Place identifier
Location Data
- Full address
- City, state, ZIP code, and country code
- Latitude and longitude for mapping or territory analysis
Engagement Signals
- Average rating
- Total reviews
- Pages scraped
- Email count and scrape status
Key Features of Warehouse Lead Scraper β‘
| Feature | Benefit |
|---|---|
| β Search Term Filtering | Focus on the exact warehouse niche, logistics leads, or supply chain leads you want |
| β Location Filtering | Narrow results to a city, state, or wider region for more relevant warehouse prospecting |
| β Public Contact Extraction | Collect emails, phones, and social links from publicly available sources |
| β Configurable Result Limit | Set maxBusinesses from 1 to 1000 to control how many businesses you want |
| β Per-Location Control | Use scrapeMaxBusinessesPerLocation to collect up to the limit for each location |
| β Proxy Configuration | Built-in proxy support for more reliable scraping at scale |
| β Structured Dataset Output | Export clean records that are ready for analysis, CRM import, or outreach |
| β Real-Time Saving | Results are stored during the run so partial data is preserved |
Warehouse Lead Scraper User Guide π
Required Input Fields
{"googleMapsSearchTerm": "Warehouse","googleMapsLocation": ["New York"],"maxBusinesses": 5,"scrapeMaxBusinessesPerLocation": false,"proxyConfiguration": {"useApifyProxy": true}}
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
googleMapsSearchTerm | String | β Yes | Warehouse | The business type or niche you want to search for. |
googleMapsLocation | Array | β Yes | ["New York"] | One or more target locations for your search. |
maxBusinesses | Integer | No | 5 | The maximum number of businesses to collect. The actor stops when it reaches this target. |
scrapeMaxBusinessesPerLocation | Boolean | No | false | If enabled, the actor collects up to maxBusinesses results for each location. If disabled, all locations share one total limit. |
proxyConfiguration | Object | No | {"proxy support": true} | Proxy settings for larger or more reliable scraping runs. |
Required Output Fields
{"name": "Northpoint Warehouse Solutions","website": "https://www.northpointwarehousesolutions.com","phone": "+1 212-555-0148","full_address": "245 Warehouse Ave New York NY 10001 US","city": "New York","state": "NY","zip": "10001","country_code": "US","scraped_emails": ["info@northpointwarehousesolutions.com"],"scraped_phones": ["+1 212-555-0148"],"scraped_social_media": ["https://www.linkedin.com/company/northpoint-warehouse-solutions"],"emails_found": 1,"pages_scraped": 4,"avg_rating": 4.7,"total_reviews": 126,"lat": "40.7128","long": "-74.0060","place_id": "ChIJOwg_06VPwokRYv534QaPC8g","scrape_status": "success"}
| Field | Label | Format | Description |
|---|---|---|---|
name | Business Name | text | The business name. |
website | Website | link | The business website URL. |
phone | Phone | text | The main phone number listed for the business. |
full_address | Address | text | The combined full address. |
city | City | text | The city from the business address. |
state | State | text | The state from the business address. |
zip | zip | text | The ZIP code from the business address. |
country_code | country_code | text | The country code from the business address. |
scraped_emails | Emails Found | array | A list of emails found from publicly available sources. |
scraped_phones | Phone Numbers | array | A list of phone numbers found from publicly available sources. |
scraped_social_media | Social Media | array | A list of social media links found from publicly available sources. |
emails_found | # Emails | number | The total number of emails found for the business. |
pages_scraped | Pages Scraped | number | The number of pages processed for the business website. |
avg_rating | Rating | number | The average rating value. |
total_reviews | Reviews | number | The total number of reviews. |
lat | lat | text | The latitude value. |
long | long | text | The longitude value. |
place_id | place_id | text | The place identifier. |
scrape_status | Status | text | The scraping status for the record. |
Solving Real Problems with Warehouse Lead Scraper πΌ
- π― Warehouse Lead Generation β Build a focused warehouse contact list for outreach campaigns
- π£ B2B Prospecting β Find warehousing companies and business contacts faster than manual research
- π€ Sales Outreach β Collect warehouse managers and decision makers for targeted follow-up
- π¬ Market Research β Map warehouse operations across cities or regions for competitive analysis
- π CRM Enrichment β Add emails, phone numbers, and websites to existing business records
- βοΈ Repeatable Research β Run the actor on multiple locations to build broader logistics leads and industrial leads
Why Choose Warehouse Lead Scraper? π
- π° Focused on Business Leads β Built for warehouse businesses, warehousing companies, and related B2B lead scraper use cases
- π Location-Aware Filtering β Helps you isolate relevant warehouse operations by geography
- β‘ Structured Contact Output β Returns organized records with emails, phones, websites, and location details
- π§ Real Support β Need help or have feedback? Contact codebeatapi@gmail.com
How Many Results Can You Scrape? π
- Use
maxBusinessesto cap the run from 1 to 1000 businesses - Set
scrapeMaxBusinessesPerLocationtotrueif you want the limit applied per location instead of globally - Results depend on your search term, location, and how many businesses have public contact details
- Larger batches are better handled with proxy support enabled
Legal Guidelines for Scraping Warehouse Lead Scraper βοΈ
This actor works only with publicly available data. It does not require logins or access private content. Users are responsible for following applicable laws, platform policies, privacy rules, and anti-spam regulations when using the data. Please use the results responsibly for legitimate warehouse lead generation and research purposes. Data-removal requests: codebeatapi@gmail.com.
FAQ β Warehouse Lead Scraper β
How Does the Warehouse Lead Scraper Work?
You provide a search term and one or more locations, and the actor collects matching public business records. It then enriches the results with available contact details and saves them as structured dataset rows.
What Kinds of Warehouse Profiles Are Supported?
Any public business listing that matches your search term and location filter can be collected. Profiles with public websites are especially useful because they can produce more complete contact data.
Can I Use This for Warehouse Phone Number Scraper Workflows?
Yes. The actor includes a phone field and a scraped_phones array, which makes it useful when you need a warehouse phone number scraper for outreach or verification.
Can I Use This for Warehouse Email Scraper Workflows?
Yes. It is also a warehouse email scraper because it gathers scraped_emails and emails_found for businesses with publicly available contact details.
What Makes This Useful for Supply Chain Leads and Industrial Leads?
It helps you discover relevant businesses by location and niche, then organize the output into a clean list of contacts and business details that can support supply chain leads and industrial leads research.
What If a Business Has No Website?
The actor can still return the business record, but email discovery is naturally limited when no website is available. In that case, the scrape_status may reflect that there was no website to process.
How Can I Get Help?
If you need support, have a bug report, or want to request a feature, email codebeatapi@gmail.com.
Final Word βοΈ
Warehouse Lead Scraper is a practical way to turn public business data into a useful warehouse contact list. Whether you need warehouse lead generation, warehouse prospecting, or a fast B2B lead scraper for logistics leads, it gives you structured results without the manual grind.
π Support & Feedback
Have a question or want a custom feature for Warehouse Lead Scraper?
- π Bug Reports: Share your issue with our team
- β¨ Custom Solutions & Feature Requests: Contact us for enhancements
- π§ Email: codebeatapi@gmail.com
Phone Validation
Every lead's email half was already validated - MX, catch-all, disposable, quality score. The phone half arrived as raw text with nothing said about it. Now it is checked the same way.
| Field | Meaning |
|---|---|
phoneE164 | The primary number in international format, ready to dial |
phoneValid | Whether the digits form a dialable number for their country |
phoneLineType | Fixed Line, Mobile, Toll-Free, Premium Rate, VoIP, ... |
phoneIsMobile | true/false, or empty where the numbering plan genuinely cannot tell (US, Canada, Mexico) |
phoneRegion / phoneCallingCode | The number's own country |
phoneDetails | Every number on the row, each fully described |
phonesChecked / phonesKept / validPhoneCount | Counts before and after filtering |
Numbers are parsed against the business's own country taken from its Google Maps listing, which is a far better default than anything the run could assume.
Inputs. Only report valid phone numbers, Exclude toll-free and Exclude premium-rate shape which numbers appear on a row β they never discard the row, because losing a good email lead over an unusable phone would be the wrong trade. If you do want that, Only keep businesses with a valid phone number does it explicitly.