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Recruiting with Clay's Google Search source

Recruiting with Clay's Google Search source

Find out how a recruiting agency can harness the power of Clay

Varun Anand
6 min.
Overview

Recruiting Using Clay’s Google Search Source

Introduction:
Navigating the search for the right tech talent can be daunting. However, using Google search operators presents a unique, targeted approach to seeking engineers or programmers in the United States with specific criteria. This guide will walk you through a step-by-step process of using Google search operators, parsing the search results, and enriching the data with additional valuable information.

Step 1: Creating a Google Search Operator List:
The first step is to generate a Google search operator list. This list can either be created independently or with the aid of a dedicated website to simplify the process. As an example, we'll search for 'engineer' or 'developer' or 'programmer' based in 'New York City' with proficiency in 'Java', 'Ruby', and 'HTML', and who also hold a degree.

Step 2: Implementing the Search:
After crafting your search operators, execute the search directly in Google. To facilitate further processing, consider pasting the search query into a data management platform, such as Clay, and extract the results. For this demonstration, we'll fetch 50 results.

Step 3: Parsing the Search Results:
Upon obtaining the results, you'll be presented with an array of data corresponding to your search parameters. At this point, you can map these data to specific categories, like LinkedIn profile URLs.

Step 4: Enriching the Data:
Next, enrich the data from the LinkedIn profiles. This step allows you to fetch crucial details such as name, title, summary, latest experiences, start dates, and current companies.

Step 5: Enriching Company Data:
To gain a more comprehensive understanding, enrich your data by fetching information about the companies where these individuals work. Useful details might include the company's website and employee count.

Step 6: Extracting Contact Information:
Then, extract the individuals' work and personal email addresses. To find the work email, you'll need their names and the company domain, while for the personal email, you'll require their LinkedIn profile URL.

Step 7: Formatting the Data:
Finally, format the start date into a structure that is suitable for personalization in an email.

Conclusion:
In conclusion, this guide offers an end-to-end process to find, extract, and enrich data for potential recruits like engineers and programmers using Google search operators and LinkedIn data. Once you've enriched and formatted the data, it can be exported as a CSV file or sent to Google Sheets or a CRM for further use. This streamlined workflow can save a considerable amount of time and effort in your recruitment process, providing you with a robust pool of potential candidates.

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No items found.
Learn
Recruiting with Clay's Google Search source
Author
Varun Anand
Recruiting with Clay's Google Search source
Varun Anand
Duration
6 min.

Recruiting with Clay's Google Search source

Recruiting Using Clay’s Google Search Source

Introduction:
Navigating the search for the right tech talent can be daunting. However, using Google search operators presents a unique, targeted approach to seeking engineers or programmers in the United States with specific criteria. This guide will walk you through a step-by-step process of using Google search operators, parsing the search results, and enriching the data with additional valuable information.

Step 1: Creating a Google Search Operator List:
The first step is to generate a Google search operator list. This list can either be created independently or with the aid of a dedicated website to simplify the process. As an example, we'll search for 'engineer' or 'developer' or 'programmer' based in 'New York City' with proficiency in 'Java', 'Ruby', and 'HTML', and who also hold a degree.

Step 2: Implementing the Search:
After crafting your search operators, execute the search directly in Google. To facilitate further processing, consider pasting the search query into a data management platform, such as Clay, and extract the results. For this demonstration, we'll fetch 50 results.

Step 3: Parsing the Search Results:
Upon obtaining the results, you'll be presented with an array of data corresponding to your search parameters. At this point, you can map these data to specific categories, like LinkedIn profile URLs.

Step 4: Enriching the Data:
Next, enrich the data from the LinkedIn profiles. This step allows you to fetch crucial details such as name, title, summary, latest experiences, start dates, and current companies.

Step 5: Enriching Company Data:
To gain a more comprehensive understanding, enrich your data by fetching information about the companies where these individuals work. Useful details might include the company's website and employee count.

Step 6: Extracting Contact Information:
Then, extract the individuals' work and personal email addresses. To find the work email, you'll need their names and the company domain, while for the personal email, you'll require their LinkedIn profile URL.

Step 7: Formatting the Data:
Finally, format the start date into a structure that is suitable for personalization in an email.

Conclusion:
In conclusion, this guide offers an end-to-end process to find, extract, and enrich data for potential recruits like engineers and programmers using Google search operators and LinkedIn data. Once you've enriched and formatted the data, it can be exported as a CSV file or sent to Google Sheets or a CRM for further use. This streamlined workflow can save a considerable amount of time and effort in your recruitment process, providing you with a robust pool of potential candidates.

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