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Google Search Scraper – Extract Google Search Results Data Using SERP API

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Extract Google search results with DataScrapify Google Search Scraper. Collect SERP data, organic rankings, website URLs, titles, and descriptions using keywords and location targeting.

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Google Search Scraper – Extract Google Search Results Data Using SERP API

Google Search Scraper – Extract Google Search Results Data Using SERP API

Extract Google search results effortlessly with DataScrapify Google Search Scraper, a powerful Google SERP API tool designed to collect structured search engine results data from Google. Automatically retrieve organic search results, website URLs, page titles, descriptions, search positions, and other valuable SERP information using your target keywords.

Whether you are an SEO professional, digital marketer, developer, researcher, or lead generation specialist, our Google Search Results Scraper helps you automate search data collection without manually browsing Google search pages.

With keyword-based searching, location targeting, and structured data extraction, DataScrapify makes it easier to collect, analyze, and manage Google SERP data for SEO research, competitor analysis, keyword tracking, and market intelligence.

What Is Google Search Scraper?

Google Search Scraper is an automated SERP data extraction tool that collects information from Google Search Engine Results Pages (SERPs).

Instead of manually searching Google and copying individual results, you can use our Google SERP Scraper API to automatically retrieve search result information for multiple keywords.

The extracted data can help businesses understand search engine visibility, discover competitor websites, identify relevant web pages, research keywords, and analyze organic search results.

DataScrapify simplifies Google search result scraping by transforming search result information into structured, usable data for your business and SEO workflows.

Key Features of Google Search Scraper

1. Google Search Results Extraction

Automatically extract Google search results using your target keywords. Collect website titles, URLs, descriptions, and organic search result positions for SEO research and analysis.

2. Google SERP API Integration

Use Google SERP API functionality to automate search result data collection. Integrate structured Google search results into your applications, databases, dashboards, and automated workflows.

3. Keyword-Based Search Scraping

Search Google using multiple keywords to discover websites, competitors, business pages, and relevant online resources.

4. Location-Based SERP Data

Collect geographically targeted search results by configuring your desired location and search parameters. Analyze how search results vary across different target markets.

5. Organic Search Results Extraction

Retrieve organic search listings, including:

  • Search Result Position

  • Website Title

  • Destination URL

  • Displayed Website URL

  • Search Result Description

  • Search Query

Demo Video

6. Competitor Website Discovery

Discover websites ranking for specific keywords. Use extracted Google SERP data to identify competitors, analyze their search visibility, and research their content strategies.

7. Bulk Google Search Scraping

Automate Google search data collection across multiple search queries instead of manually searching each keyword individually.

8. Structured SERP Data

Organize extracted search information into structured records suitable for SEO analysis, reporting, database storage, and further processing.

Why Use DataScrapify Google Search Scraper?

Google search results contain valuable information for businesses, marketers, and developers. However, manually collecting this information across hundreds or thousands of keywords can be time-consuming.

DataScrapify Google Search Scraper helps automate this process.

Our Google SERP data extraction solution is designed to help you:

  • Automate Google search result collection.

  • Discover websites ranking for specific keywords.

  • Research competitor websites and their organic visibility.

  • Collect search engine result page information.

  • Build keyword research datasets.

  • Identify potential business websites.

  • Analyze search result patterns across locations.

  • Integrate SERP data into your existing applications.

  • Reduce repetitive manual data collection.

Use Cases of Google SERP Scraper

SEO Keyword Research

Collect Google search results for targeted keywords to discover ranking websites, understand search competition, and identify relevant content opportunities.

Competitor Analysis

Extract competitor URLs and ranking positions to study their online visibility and identify websites competing for the same search terms.

Search Engine Rank Tracking

Collect SERP snapshots for selected keywords and compare ranking positions over time using your stored datasets.

Lead Generation

Discover business websites, service providers, and relevant companies appearing in Google search results for specific industry keywords.

Market Research

Analyze search results across different keywords and locations to discover businesses, market participants, and industry-related websites.

SEO Automation

Integrate Google SERP data into your SEO tools, dashboards, and reporting systems to automate repetitive research tasks.

AI and Data Analytics

Use structured search results as input for AI-powered research, website classification, competitor discovery, and data analysis workflows.

How Google Search Scraper Works

Using DataScrapify Google Search Scraper is simple:

Step 1: Enter Search Keywords

Provide your target Google search keywords or search queries.

Step 2: Configure Search Parameters

Select your required search settings, such as target location, language, and other available parameters.

Step 3: Start Google SERP Extraction

Run the scraper to automatically collect relevant Google search result information.

Step 4: Extract Structured Data

Retrieve available search result fields, including titles, URLs, snippets, and organic positions.

Step 5: Export and Analyze

Use the extracted SERP dataset for keyword research, competitor analysis, lead generation, and business intelligence.

Google Search Scraper for Developers

DataScrapify Google Search Scraper is designed for businesses and developers who need automated Google search results data.

Use Google SERP API functionality to build custom applications and workflows around search engine result information.

Potential integration applications include:

  • SEO rank tracking applications

  • Competitor monitoring platforms

  • Keyword research software

  • Website discovery systems

  • Lead generation applications

  • Marketing automation tools

  • AI-powered research platforms

  • Search result analytics dashboards

Automate your Google search data collection and build scalable workflows using structured SERP information.

Who Can Use Google Search Results Scraper?

Our Google Search Scraper is suitable for:

  • SEO Professionals

  • Digital Marketing Agencies

  • Affiliate Marketers

  • Web Developers

  • Data Analysts

  • Market Researchers

  • Lead Generation Companies

  • Business Intelligence Teams

  • SaaS Application Developers

  • SEO Software Providers

Whether you need Google SERP data for a small keyword research project or a larger automated data pipeline, DataScrapify provides a practical solution for collecting search result information.

Start Extracting Google Search Results with DataScrapify

Stop wasting time manually collecting search engine results. Automate your keyword research, discover competitor websites, and collect structured Google SERP data using DataScrapify Google Search Scraper.

Start using our Google Search Scraper to simplify your SEO research, automate SERP data collection, and turn search results into actionable business datasets.

Explore DataScrapify Google Search Scraper today and make Google search data collection easier.

1 First Generate API key from My Profile on Top Right Side.

2 Check Request URL and Request Example code below.

 

Request URL

https://www.datascrapify.com/api/Tool/GoogleSearchScraper

Parameters

Parameter Value Description Parameter Type Example Value
 

  body
{
  "camp_name": "test",
  "keyword": "how proxy work",
  "Location": "",
  "Country": "us",
  "max_page": 1,
  "Use_Proxy": false,
  "_ProxySettings": {
    "ProxyServer": "string",
    "ProxyPort": 0,
    "ProxyAuthentification": true,
    "ProxyAuthLogin": "string",
    "ProxyAuthPassword": "string"
  }
}

 

Parameter Defination

camp_name Insert Any Unique Name
keyword insert your keyword
Location Enter Any location. its optional
Country You need to insert Country Code as per Google search geo location for using gl parameter
Use_Proxy Default false. if you want to use proxy then set true
   
 

Request Header

Accept application/json
x_api_key [Your API key ] please check My Profile after login to DataScrapify.com

 

Example Code 

1  First Send Campaign Request, it will give you Response with processID

Curl

curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' --header 'x_api_key: REPLACE_YOUR_KEY ' -d '{ \ 
   "camp_name": "test", \ 
   "keyword": "how does dns work", \ 
   "Location": "", \ 
   "Country": "us", \ 
   "max_page": 0, \ 
   "Use_Proxy": false \ 
 }' 'https://www.datascrapify.com/api/Tool/GoogleSearchScraper'
 

Response Body

"{\"data\":null,\"status\":\"100\",\"processId\":\"675e7a86-7bf7-4070-8064-f2be2daa53c2\",\"msg\":\"success\",\"camp_id\":\"10031\",\"output\":null}"

2 using processId , you can get all result data using below api

Request URL

Curl

curl -X GET --header 'Accept: application/json' --header 'x_api_key: REPLACE_YOUR_KEY' 'https://www.datascrapify.com/api/Tool/GetCampResult?processId=PROCESS_ID_REPLACE'
 

Response Body

"{\"camp_name\":\"test\",\"camp_start_time\":\"10/1/2026 1:17:49 PM\",\"camp_stop_time\":\"10/1/2026 1:18:37 PM\",\"status\":\"Complete\",\"reason_message\":\"\",\"total\":\"11\",\"data\":[{\"uniqueid\":\"1735702\",\"Name\":\"What Is DNS (Domain Name System)?\",\"Description\":\"Nov 4, 2025 — DNS is the component of the internet standard protocol responsible for converting human-friendly domain names into internet protocol (IP) ...\",\"Link\":\"https://www.ibm.com/think/topics/dns\",\"Source\":\"organic\"},{\"uniqueid\":\"1735701\",\"Name\":\"What Is DNS? - Meaning, How it Works & More\",\"Description\":\"The role of DNS is to map the text-based URL to its designated IP address, which computers use to locate and deliver web content.\",\"Link\":\"https://www.proofpoint.com/us/threat-reference/dns\",\"Source\":\"organic\"},{\"uniqueid\":\"1735700\",\"Name\":\"What is DNS? - AWS - Amazon.com\",\"Description\":\"The Internet's DNS system works much like a phone book by managing the mapping between names and numbers. DNS servers translate requests for names into IP ...Read more\",\"Link\":\"https://aws.amazon.com/route53/what-is-dns/\",\"Source\":\"organic\"},{\"uniqueid\":\"1735699\",\"Name\":\"Understanding what is DNS : r/dns\",\"Description\":\"The DNS is the Internet distributed database. It's first application was keeping track of the database distribution. The second was keeping ...Read more\",\"Link\":\"https://www.reddit.com/r/dns/comments/1axrqdq/understanding_what_is_dns/\",\"Source\":\"organic\"},{\"uniqueid\":\"1735698\",\"Name\":\"What Is Domain Name System (DNS)?\",\"Description\":\"The Domain Name System (DNS) turns domain names into IP addresses, which browsers use to load internet pages. DDNS maps internet domains, matching them to IP ...\",\"Link\":\"https://www.fortinet.com/resources/cyberglossary/what-is-dns\",\"Source\":\"organic\"},{\"uniqueid\":\"1735697\",\"Name\":\"Domain Name System (DNS)\",\"Description\":\"Jun 11, 2026 — DNS translates it into an IP address of the server hosting the website. This allows your browser to connect to the correct server and load the ...\",\"Link\":\"https://www.geeksforgeeks.org/computer-networks/domain-name-system-dns-in-application-layer/\",\"Source\":\"organic\"},{\"uniqueid\":\"1735696\",\"Name\":\"What is DNS and How Does it Work?\",\"Description\":\"Jun 12, 2025 — When you enter a domain name in your browser, the DNS server finds the matching IP address so your device can connect to the right destination.Read more\",\"Link\":\"https://newrelic.com/blog/infrastructure-monitoring/what-is-dns\",\"Source\":\"organic\"},{\"uniqueid\":\"1735695\",\"Name\":\"What is DNS? | Learning Center\",\"Description\":\"The Domain Name System (DNS) is the phonebook of the Internet. It translates human-readable domain names to machine-readable IP addresses.\",\"Link\":\"https://www.cloudflare.com/learning/dns/what-is-dns/\",\"Source\":\"organic\"},{\"uniqueid\":\"1735694\",\"Name\":\"Google Public DNS\",\"Description\":\"Google Public DNS\",\"Link\":\"https://developers.google.com/speed/public-dns\",\"Source\":\"AI\"},{\"uniqueid\":\"1735693\",\"Name\":\"Cloudflare\",\"Description\":\"Cloudflare\",\"Link\":\"https://www.cloudflare.com/learning/dns/what-is-dns/\",\"Source\":\"AI\"},{\"uniqueid\":\"1735692\",\"Name\":\"\",\"Description\":\"AI Overview\\nThe Domain Name System (DNS) works like the phone book of the internet, translating human-readable website names (like google.com) into numerical IP addresses (like 192.0.2.1) that computers use to talk to each other. \\nAmazon Web Services (AWS)\\nYou can read more about it in this guide by Cloudflare. \\nThe DNS Lookup Process\\nWhen you type a web address into your browser, a step-by-step lookup happens in milliseconds: \\nAzion\\nLocal Cache Check: Your browser or computer checks its memory (cache) to see if it already knows the IP address from a recent visit. \\nGeeksforGeeks\\nRecursive Resolver: If it is not saved locally, your computer asks a DNS resolver (usually run by your internet service provider or a public service like Google Public DNS). \\nYouTube\\n·Naj Qazi\\n +2\\nRoot Name Server: If the resolver does not know the address, it asks a root server, which acts as the index and points the resolver to the correct Top-Level Domain (TLD) server. \\nCloudflare\\nTLD Name Server: The TLD server manages specific extensions like .com, .org, or .net. It points the resolver to the specific authoritative server for that domain. \\nCloudflare\\nAuthoritative Name Server: This final server holds the actual DNS records for the website and gives the correct IP address back to the resolver. \\nCloudflare\\nFinal Connection: The resolver sends the IP address back to your computer, and your browser loads the webpage. \\nGeeksforGeeks\\nKey Components of DNS\\nRecursive Resolvers: The librarian or intermediary that tracks down the IP address on your behalf.\\nRoot Servers: The top layer of the DNS hierarchy that directs traffic to TLDs.\\nTLD Servers: Servers handling specific extensions like .edu or .gov.\\nAuthoritative Servers: The final source of truth that stores the actual IP address for a specific domain name.\\nCaching: Saving previous lookup results for a set amount of time (called TTL or Time to Live) so your computer does not have to repeat the full search every time you visit a site. \\nYouTube\\n·Pro Tech Show\\n +4\\nWatch a short video explanation of how the Domain Name System translates names to addresses step by step:\\n2:16\\nDNS Explained in 100 Seconds\\n392K views · 5 years ago\\nYouTube · Fireship\\nIf you'd like, I can explain:\\nCommon DNS record types (like A, CNAME, or MX records)\\nWhat DNS security (DNSSEC) does to protect you\\nCloudflare\\nWhat is DNS? | Learning Center\\nDNS Core: Translates human domain names to machine IP addresses. Servers: Recursive resolver (begins query/tracks down records), R...\\nYouTube\\n·\\nPro Tech Show\\nDNS Explained: The System That Makes the Internet Work\\nDNS Explained: The System That Makes the Internet Work so we're going back to basics in this one and I'm going to tell you how DNS...\\n13m\\nYouTube\\n·\\nFireship\\nDNS Explained in 100 Seconds\\nDNS Explained in 100 Seconds the domain name system or DNS is like the phone book of the internet it maps human readable URLs or h...\\n2:16\\nShow all\\nShow more\",\"Link\":\"\",\"Source\":\"AI\"}]}"
 

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