renamed contacts_n_leads (#39)

* renamed contacts_n_leads

* renamed method

Author: Stepbus

examples/Contacts And Leads.md examples/Leads And Contacts.mdexamples/Contacts And Leads.md renamed to examples/Leads And Contacts.md

@@ -1,6 +1,6 @@
 # Emails And Contacts Scraper With Python
 
-Allows finding email addresses, social links, and phones from domains via [Outscraper API](https://app.outscraper.cloud/api-docs#tag/Email-Related/paths/~1contacts-and-leads/get).
+Allows finding email addresses, social links, and phones from domains via [Outscraper API](https://app.outscraper.cloud/api-docs#tag/Email-Related/paths/~1leads-and-contacts/get).
 
 ## Installation
 
@@ -22,6 +22,6 @@ client = OutscraperClient(api_key='SECRET_API_KEY')
 ## Usage
 
 ```python
-# Search contacts from website:
-results = client.contacts_and_leads(['outscraper.com'])
+# Search leads and contacts from website:
+results = client.leads_and_contacts(['outscraper.com'])
 ```

outscraper/client.py

@@ -522,11 +522,11 @@ def google_play_reviews(self, query: Union[list, str], reviews_limit: int = 100,
 
         return self._request('GET', '/google-play/reviews', wait_async=wait_async, async_request=async_request, params=params)
 
-    def contacts_and_leads(self, query: Union[list, str], preferred_contacts: Optional[Union[list, str]] = None, contacts_per_company: int = 3,
+    def leads_and_contacts(self, query: Union[list, str], preferred_contacts: Optional[Union[list, str]] = None, contacts_per_company: int = 3,
        emails_per_contact: int = 1, skip_contacts: int = 0, general_emails: bool = False, fields: Union[list, str] = None,
        async_request: bool = False, ui: bool = False, webhook: Optional[str] = None) -> list:
         '''
-            Contacts and Leads Scraper
+            Leads and Contacts Scraper
 
             Returns emails, social links, phones, and other contacts from websites based on domain names, URLs.
             It supports batching by sending arrays with up to 250 queries.
@@ -560,7 +560,7 @@ def contacts_and_leads(self, query: Union[list, str], preferred_contacts: Option
                 Returns:
                     list|dict: JSON result
 
-            See: https://app.outscraper.com/api-docs#tag/Email-Related/paths/~1contacts-and-leads/get
+            See: https://app.outscraper.com/api-docs#tag/Email-Related/paths/~1leads-and-contacts/get
         '''
 
         queries = as_list(query)
@@ -578,7 +578,28 @@ def contacts_and_leads(self, query: Union[list, str], preferred_contacts: Option
             'webhook': webhook
         }
 
-        return self._request('GET', '/contacts-and-leads', wait_async=wait_async, async_request=async_request, params=params)
+        return self._request('GET', '/leads-and-contacts', wait_async=wait_async, async_request=async_request, params=params)
+
+    def contacts_and_leads(self, query: Union[list, str], preferred_contacts: Optional[Union[list, str]] = None, contacts_per_company: int = 3,
+       emails_per_contact: int = 1, skip_contacts: int = 0, general_emails: bool = False, fields: Union[list, str] = None,
+       async_request: bool = False, ui: bool = False, webhook: Optional[str] = None) -> list:
+        '''
+            Contacts and Leads Scraper
+            Backward-compatible alias for leads_and_contacts.
+        '''
+
+        return self.leads_and_contacts(
+            query=query,
+            preferred_contacts=preferred_contacts,
+            contacts_per_company=contacts_per_company,
+            emails_per_contact=emails_per_contact,
+            skip_contacts=skip_contacts,
+            general_emails=general_emails,
+            fields=fields,
+            async_request=async_request,
+            ui=ui,
+            webhook=webhook,
+        )
 
     def emails_and_contacts(self, query: Union[list, str], fields: Union[list, str] = None) -> list:
         '''

setup.py

@@ -8,7 +8,7 @@ def readme():
 
 setup(
     name='outscraper',
-    version='6.0.3',
+    version='6.0.4',
     description='Python bindings for the Outscraper API',
     long_description=readme(),
     classifiers = ['Programming Language :: Python',