Scrape Google search results effortlessly with our powerful Google scraping API* to track keyword rankings, analyze ads, gather competitor insights, and extract data from various SERP features like related searches in just a few clicks.
Web Scraping API is a powerful data extraction tool that combines a web scraper, a smart parser, and access to a pool of 125M+ residential, mobile, ISP, and datacenter proxies. This ensures reliable and scalable access to Google Search data in real time. With this scraper, you can extract valuable insights such as:
A Google Search scraper is a tool that extracts data directly from Google’s search results.
With our Google Search scraping API, you can send a single API request and receive the data you need in HTML or structured formats like JSON and CSV. Even if a request fails, we’ll automatically retry it until your data is successfully delivered. You only pay for successful requests.
Designed by our experienced developers, this tool offers you a range of handy features:
Scale your data collection on the go with a single scraping API. Scrape real-time data from Google Search, Maps, Trends, and other targets with just a few clicks.
Google Search
Collect real-time data from SERP without facing CAPTCHAs or IP blocks.
Google Maps
Get the most important location-specific data from Google Maps with just a click.
Google News
Pull multiple headlines, descriptions, and URLs from the latest news with a single query.
Google Lens
Extract image URLs, visual matches, and other data from Google’s visual search.
Google Trends
Identify the top search queries on Google Search with our Web Scraping API.
Google Play
Get real-time data on app titles, descriptions, and categories.
Google Shopping
Retrieve titles, descriptions, competitors’ product prices, and Google Shopping search results.
Google Autocomplete
Run the localized research to learn what people in specific areas are searching for.
Google Hotel
Unlock insights on the most popular listings in your area and stay ahead of the competition.
Take advantage of all Google scraping API features
Extract Google Search data effortlessly with our advanced scraping API. Choose from multiple output formats and leverage integrated proxy technology for uninterrupted data collection, no blocks, no CAPTCHAs, just results.
Flexible output options
Select from HTML, CSV, or JSON formats to match your specific data needs.
Task scheduling
Schedule your scraping tasks in advance and get notified via email once they are completed.
Real-time or on-demand results
Decide when you want your data – fetch it instantly, or schedule scraping tasks for later.
Advanced anti-bot measures
Bypass detection, CAPTCHAs, and IP bans with built-in browser fingerprinting.
Easy integration
Connect our APIs to your tools effortlessly with our quick start guides and code examples.
Ready-made scraping templates
Get fast access to real-time data with the help of our customizable, ready-made scrapers.
Geo-targeting
Choose a location and get real-time results tailored to your selected area.
High scalability
Add our scraping solutions to your toolbox and collect data from various targets.
Bulk upload
Complete multiple data collection requests with just one click.
Web scraping has become increasingly complex as websites deploy sophisticated anti-bot measures and dynamic content loading. While traditional scraping approaches require extensive manual coding and maintenance, artificial intelligence offers a transformative solution. Claude, Anthropic's advanced language model, brings unique capabilities to the web scraping landscape that can dramatically improve both efficiency and effectiveness.
Business success is driven by data, and few data sources are as valuable as Google’s Search Engine Results Page (SERP). Collecting this data can be complex, but various tools and automation techniques make it easier. This guide explores practical ways to scrape Google search results, highlights the benefits of such efforts, and addresses common challenges.
Google Images is arguably the first place anyone uses to find photographs, paintings, illustrations, and any other visual files on the internet. Its vast repository of visual content has become an essential tool for users worldwide. In this guide, we'll delve into the types of data that can be scraped from Google Images, explore the various methods for scraping this information, and demonstrate how to efficiently collect image data using our Web Scraping API.
Ever wondered how to extract valuable business data directly from Google Maps? Whether you're building a lead list, analyzing local markets, or researching competitors, scraping Google Maps can be a goldmine of insights. In this guide, you’ll learn how to automate the process step by step using Python – or skip the coding altogether with Decodo’s plug-and-play scraper.
Google Sheets is a powerful tool that hosts various data management and analysis features. While it usually deals with information already gathered elsewhere, few know that Sheets have built-in functions that can also gather website data on their own! This article will explore the many benefits of using Google Sheets for web scraping and how to build a powerful in-house web scraping machine without ever leaving your browser window.
Nowadays, web scraping is essential for any business interested in gaining a competitive edge. It allows quick and efficient data extraction from a variety of sources and acts as an integral step toward advanced business and marketing strategies.
If done responsibly, web scraping rarely leads to any issues. But if you don’t follow data scraping best practices, you become more likely to get blocked. Thus, we’re here to share with you practical ways to avoid blocks while scraping Google.
SERP (Search Engine Results Page) analysis involves examining search engine results for specific keywords to understand website rankings. It helps identify the content, format, and optimization strategies used by top-ranking pages and uncovers opportunities for improving rankings. In this blog post, we’re exploring what SERP analysis is, how to conduct it, and how it can help you.
Keeping up with everything happening around the world can feel overwhelming. With countless news sites competing for your attention using catchy headlines, it’s hard to find what you need among celebrity tea and what the Kardashians were up to this week. Fortunately, there’s a handy tool called Google News that makes it easier to stay informed by helping you filter out the noise and focus on essential information. Let’s explore how you can use Google News together with Python to get the key updates delivered right to you.
Web scraping legality depends on the type of data collected and how it's used. Generally, scraping public web data is legal as long as it complies with local and international laws. However, it’s essential to review the terms of service and seek legal advice before engaging in scraping activities.
How do I get started with the Google Search scraper API?
You can start collecting data from Google Search in just a few simple steps:
Create an account on the Decodo dashboard and access the Web Scraping API section.
Choose a subscription that matches your needs – you can get started with a 7-day free trial with 1K requests.
After activating your subscription, go to the Scraper tab, choose the Google Search target, enter your query, and adjust the Web Scraping API settings according to your needs.
The Web Scraping API will then retrieve the results in your preferred format.
Optionally, you can use our free AI Parser to get formatted results.
Do you support Google AI Overviews?
Our Web Scraping API collects data from Google search results pages, including valuable information from recently introduced AI Overviews.
What are common use cases for a Google scraping API?
A Google scraping API is a powerful tool used to automate the extraction of search engine data without managing proxies, browsers, or anti-bot bypassing yourself. Developers and data-driven teams rely on it for a wide range of data collection and market intelligence tasks. Here are the most common use cases:
SEO monitoring – track keyword rankings, featured snippets, and SERP fluctuations at scale.
Ad verification – validate paid search ads in different locations or devices without manual effort.
Price intelligence – collect Google Shopping results to benchmark competitors' pricing.
Market research – extract related queries, "People Also Ask" data, and competitor listings.
Travel & hospitality – gather real-time flight or hotel availability via search results.
News monitoring & media intelligence – track brand mentions, competitor coverage, and industry trends across Google News. See our open-source Google News scraper for headline extraction and automated export examples.
AI and ML training – feed structured search engine output into models for training or fine-tuning.
How can I scrape data for multiple keywords simultaneously?
You can leverage our bulk-scraping feature to collect data from multiple keywords at once. Web Scraping API will return the results from multiple queries in your preferred format – HTML or formatted in JSON or CSV.
Can I retrieve all results across multiple pages?
Yes, you can specify the number of pages or results you want to retrieve. The API will aggregate results across multiple pages and return them in a single response.
How to choose the best Google Search API?
When searching for the best Google Search API, we recommend checking out these features to determine whether they meet your requirements:
Data freshness and accuracy
Geographic coverage
Success rate and reliability
Response speed
Support quality
Integration ease
Documentation quality
Do you provide technical support?
Yes! You can reach out to our 24/7 tech support via LiveChat and get guidance on your Web Scraping API setup or tips on how to collect data from various targets efficiently.
What features should I compare when choosing a Google SERP API?
When choosing a Google SERP scraping API, it’s crucial to focus on the features that impact accuracy, performance, and integration. Key elements to compare include:
SERP coverage – look for support across organic results, ads, maps, news, images, and “People Also Ask” sections.
Geo-targeting – ensure precise location targeting by country, city, ZIP, or even device type.
Data freshness – opt for real-time or near-real-time data delivery to avoid outdated insights.
Output formats – check if the API offers structured output like JSON or CSV, depending on how you plan to process the data.
Speed and reliability – prioritize low-latency APIs with high uptime and a strong success rate, especially under heavy loads.
Scalability – make sure the API can handle large volumes and concurrent sessions without throttling.
Ease of integration – look for ready-made templates or bulk task options to reduce development time.
What pricing models do Google scraping APIs typically use?
Scraping APIs are usually priced per request count. For example, Decodo offers a 7-day free trial with 1K requests, and then you can get started for as low as $0.08/1K requests.
What do customers say about the accuracy and freshness of data retrieved by Google scraping APIs?
Technical teams consistently highlight data accuracy and freshness as make-or-break factors when choosing a Google scraping API. The best APIs return real-time or near-real-time results, with structured outputs that mirror live SERP data, including features like "People Also Ask", maps, and rich snippets.
Users love Decodo’s Web Scraping API for its reliability with 100% success rate, and consistency at scale – whether they're running 10 or 10,000 queries.
How can I integrate a Google scraping API with data analysis tools?
Integrating a Google scraping API with your data analysis stack is straightforward if the API delivers structured outputs like JSON or CSV. Most developers route the API’s response directly into tools like:
Python or R – use libraries like Pandas, NumPy, or Tidyverse to parse and process SERP data.
Jupyter Notebooks – perfect for quick exploration, visualization, and cleaning of scraped data.
BI platforms – feed Google SERP results into tools like Tableau, Power BI, or Looker Studio via automated scripts or cloud storage connectors.
Data warehouses – push data to BigQuery, Snowflake, or Redshift for large-scale analysis and reporting.
AI and ML pipelines – use structured search data to fine-tune models, build ranking predictors, or enrich LLM training sets.
APIs like Decodo’s Web Scraping API support task scheduling, bulk uploads, and structured output formats, making it easy to automate and scale your SERP data collection, all without complicated interfaces or workflows.
How do you handle pagination when retrieving large sets of search results?
You can control pagination directly from our dashboard by setting parameters like the starting page number and the number of results per page. This allows you to retrieve multiple pages of search results in sequence, ideal for large-scale data collection, keyword tracking, or in-depth SERP analysis. The API takes care of structuring these requests for you.
Can a Google scraping API be used in automated workflows or scripts?
Yes, Google scraping API is built to support automated workflows. You can trigger data extraction tasks via cron jobs, cloud functions, or CI/CD pipelines. APIs like Decodo’s Web Scraping API also support bulk uploads and task scheduling, making automation seamless across thousands of queries.
How can I use geo-targeting and device emulation with a Google scraping API?
Advanced APIs offer geo-targeting down to the country, city, or ZIP code level. You can also emulate specific device types (desktop, mobile) or browsers to mirror real-user behavior. Decodo’s Web Scraping API supports these parameters to ensure the data you collect reflects localized, device-specific search results.
What are the options for output formats when retrieving data from a Google scraping API?
Most scraping APIs provide flexible output formats like HTML, JSON, or CSV. JSON is best for structured parsing, while CSV is great for analysis in spreadsheets or BI tools. Decodo’s Scraping API lets you choose the format that best fits your pipeline, whether you’re loading data into a notebook or a warehouse.
Do I need to write any code to use the Google Search scraper?
Not necessarily. If you're using a no-code dashboard or ready-made templates (like those Decodo offers), you can run queries without writing any code. But for deeper customization, scripts in Python, Node.js, or cURL can offer more control over pagination, geo-targeting, and output formatting.
Where can I find documentation or try a live demo?
You can explore our extensive documentation, quick start guides, and try the Web Scraping API yourself with a 7-day free trial or via API Playground in the dashboard.
Are there specialized Google scraping APIs for certain industries?
While most APIs are general-purpose, many offer industry-ready templates or optimized data outputs for verticals like:
eCommerce – extract Google Shopping listings and pricing data.
Travel – monitor flights, hotels, or local map packs.
Digital marketing and SEO – track keywords, rankings, and ad visibility.
What should I do if I hit a rate limit with a Google scraping API?
Rate limits are typically enforced to protect server stability. If you hit one:
Check the API documentation for limits by plan.
Batch and schedule your queries.
Upgrade to a higher volume plan if needed.
Decodo’s Web Scraping API is built for high concurrency and unlimited threads, so rate-limiting is rarely a bottleneck unless you're massively scaling.
What are common errors when using Google scraping APIs, and how can I resolve them?
Common errors include:
CAPTCHA blocks – use an API with built-in anti-bot handling.
Invalid query parameters – double-check syntax and pagination rules.
Timeouts – adjust timeout settings or retry with a delay.
Decodo’s Scraping API includes detailed error codes and recovery mechanisms to keep your web scraping project going.
How can I ensure reliable data extraction when errors occur?
There are quite a few practices you can try out to avoid errors while collecting data from Google:
Retry logic with exponential backoff
Task monitoring and webhook alerts
IP rotation
Decodo’s infrastructure is designed to manage error handling automatically, ensuring reliable data delivery even under tough anti-bot conditions.
Can Google scraping APIs handle bulk data extraction?
Yes! Bulk extraction is possible with our Web Scraping API. Upload multiple search queries via batch requests and get real-time data from multiple URLs in one place.
How do I scale my data collection with a Google scraping API?
To scale effectively:
Use concurrent sessions
Automate pagination
Schedule recurring tasks
Choose rotating proxies or location-specific IPs
With Decodo, you can scale your search scraping without managing infrastructure. Just plug in your queries and let our Web Scraping API do the heavy lifting.
What are best practices for managing large-scale scraping tasks?
If your projects require large amounts of data, we recommend using automated scraping solutions that gather data from your target. However, if you’re into building a scraper yourself:
Plan pagination upfront to avoid redundant queries
Store and process data in real-time (or near real-time)
Use structured outputs for faster parsing
Monitor task queues and logs for bottlenecks
Rotate IPs and use device/browser emulation for anti-bot protection
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Google Search Scraper API for Your Data Needs
Gain access to real-time data at any scale without worrying about proxy setup or blocks.