Cut time on data collection with a ready-made Google Lens scraper and get real-time structured data from Google Lens with our all-in-one Google Lens API, powered by built-in JS rendering and automated parsing.
SERP Scraping API is a powerful data collector that combines a web scraper, a data parser, and a pool of 125M+ residential, mobile, ISP, and datacenter proxies.
Here are some of the key data points you can extract with it:
Google Lens scraper is a handy tool that extracts visual search data from Google Lens.
With our Google Lens scraper API, you can send a single API request and receive the data you need in structured JSON or CSV format. Even if a request fails, we’ll automatically retry until the data is delivered, paying only for successful requests.
Designed by our experienced developers, this tool offers you a range of handy features:
Scrape Google Lens with ease using our powerful API. From flexible output options to built-in proxy integration, we ensure seamless data collection without blocks or CAPTCHAs.
Flexible output options
Get HTML, JSON, or parsed table results to match your scraping preferences.
100% success
Pay only for successfully retrieved data from your Google Lens queries.
Real-time or on-demand results
Choose when you need the data with scheduled or real-time data retrieval.
Advanced anti-bot measures
Avoid detection, CAPTCHAs, and IP bans with built-in browser fingerprints.
Easy integration
Connect our API to your workflows with quick start guides and ready-to-use code samples.
Proxy integration
Scrape without limits with 125M+ residential, mobile, datacenter, and ISP proxies under the hood.
API Playground
Send test requests instantly through our interactive API Playground in the dashboard.
Free trial
Explore our advanced scraping solutions with a 7-day free trial and 1K requests.
Crybaby drops sell out in minutes, leaving collectors empty-handed against reseller bots. Building an automated Crybaby bot gives genuine collectors a fighting chance by handling rapid checkouts, monitoring stock levels, and competing with professional resellers targeting these coveted blind box figurines. Ready to finally get that beautiful Crybaby figurine?
At first glance, residential and datacenter proxies may seem the same. Both types act as intermediaries that hide your IP address, allowing you to access restricted websites and geo-blocked content. However, there are some important differences between residential and datacenter proxies that you should know before making a decision. We’re happy to walk you through the differences so you can choose what's right for you.
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.
A widely available internet leaves the door open for people to find information about everything. For example, everyone can check a business's online presence before trusting it. So, everything that could be found online about your brand helps your potential audience evaluate if you’re legit.
Statistics only prove that – 9 out of 10 online shoppers admit that reviews influence their buying decisions. It stands to reason – checking unbiased opinions helps avoid low-value products and potential scams. And who wants that? So, for businesses analyzing their customers’ reviews becomes a not-to-miss-out factor.
However, reviews are just one part of the game. Brand reputation management consists of various elements that form the customers' perception of the company. If it’s still a gray area for you, this blog post could be your starting point.
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.
For many SEO masters out there, it’s no surprise that using Google Trends for keyword research is a common practice. But, as it turns out, it goes way beyond just keyword research – there’re quite a few ways you can hire it to boost your SEO efforts.
So, let’s take a closer look at how Google Trends work. We’ll show you how savvy SEO managers use Google Trends to boost their rankings. Shall we begin?
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.
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.
How can I use the Google Lens API to perform a visual search with a specific image URL?
To perform a visual search using the Google Lens API and an image URL, begin by sending an API request that includes the image_url parameter. This allows the API to analyze the visual content from that URL and return structured data, including metadata, titles, and descriptions.
Developers commonly use a cURL command or a POST request to collect the data from Google Lens. Here's a simplified example using cURL:
curl -X POST https://lens.googleapis.com/v1/visualSearch \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"imageUrl":"https://example.com/image.jpg",
"features":[{"type":"OBJECT_LOCALIZATION"}]
}'
curl -X POST https://lens.googleapis.com/v1/visualSearch \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"imageUrl":"https://example.com/image.jpg",
"features":[{"type":"OBJECT_LOCALIZATION"}]
}'
The request instructs the API to scan the provided image URL and return the information. The response can include product names, matching URLs, metadata, or other embedded information, which are useful for competitor tracking or price monitoring.
What are some practical examples of using the Google Lens API in different countries?
The Google Lens API features 115M+ residential, static residential (ISP), mobile, and datacenter IPs from 195+ locations, helping you to retrieve results from various locations around the globe. Here are a few examples of region-specific use cases:
Retail in Japan – use the API to scan product labels and return local retailers offering the item in yen.
Tourism in Italy – leverage the API to recognize landmarks and provide historical insights in Italian.
Fashion in France – get information on the trending designers, boutiques, and eCommerce marketplaces.
How do I integrate the Google Lens API into my application for real-time data extraction?
To integrate the Google Lens API for real-time data extraction, you’ll need to set up server-side or client-side logic that handles live image input (via camera or upload), sends the image to the API, and processes the JSON response. Depending on your toolstack, you can use Node.js, Python, or React. Here’s a quick overview of the process:
Capture or input the image URL.
Send an image or URL to the API via a POST request.
Parse the response to extract structured data.
Display or store the data in your app.
What are the basic parameters needed for a Google Lens API request?
A successful API call to Decodo's Google Lens scraping endpoint requires the following key parameters:
target – set to "google_lens" to specify the scraping target.
query – the URL of the image you want to analyze.
headless – set to "html" to use a headless browser environment.
parse – set to True if you want structured data returned.
In the request header, you’ll also need:
authorization – your base64-encoded API key used for authentication.
content-type – set to "application/json".
These parameters define what the API will process and return, ranging from object labels to relevant metadata extracted from visual search results.
What pricing models are available for Google Lens API usage?
Depending on your usage and specific scraping needs, you can choose the Core or Advanced subscription of our Web Scraping API, starting from just $0.08 per 1K requests. You can also get a tailored subscription by filling out the custom plan form in the dashboard. Decodo offers a 7-day free trial with 1K requests for all users.
Are there any hidden costs associated with using the Google Lens API?
Decodo doesn’t have any hidden costs – you only pay for the successfully retrieved results. And if you’re scaling your web scraping operations, you can upgrade to the bigger plan with just a few clicks.
What should I consider when choosing a Google Lens API provider based on pricing?
The best provider match ultimately depends on your needs and use case. Still, there are a few things you need to evaluate before choosing a Google Lens API provider:
Free trial availability – check whether the provider offers the ability to test out the Google Lens scraper before committing.
Hidden fees – check for image retention costs, concurrency limits, or advanced feature charges.
Scalability – look at how pricing scales as you grow. Some APIs have better rates at higher usage tiers.
Support services – explore whether 24/7 tech support is available.
Provider reputation – browse the internet and community forums to ensure the provider is reliable, especially for real-time use cases.
Rate limiting – some lower-priced plans throttle requests, which might not work for time-sensitive apps.
How does the Google Lens API improve AI models?
The Google Lens API helps to enhance AI models by constantly feeding them real-world data. Every time an image is analyzed, whether it’s a piece of text or a trending product, it provides valuable context and visual patterns that train recognition systems to become more accurate and nuanced.
These interactions generate high-quality training datasets that help refine object detection, text extraction, and contextual labeling algorithms. The more diverse the input images, the better the AI becomes at understanding edge cases, varying lighting conditions, and multilingual content.
Another benefit is the feedback loop. When users interact with results, clicking correct matches or informing the AI-powered tool about hallucinations, behavioral data can be used to retrain and fine-tune models for even better performance.
Finally, high-volume usage of the API across global environments exposes AI models to different cultures, symbols, and languages, making them more reliable and more adaptable over time.
How can the Google Lens API enhance marketing strategies?
The Google Lens API helps marketers connect what people see with what they might want to buy. Automated solutions can identify products in photos or user-generated content, making it easier to tag items or link them to a store page. It also gives useful insights, like which products are getting scanned the most, so campaigns can be adjusted based on real interest. Plus, it can help track how and where competitor products are showing up visually. Overall, it’s a simple way to use image data to support smarter marketing decisions.
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Google Lens API for All Your Data Needs
Gain access to real-time data at any scale without worrying about proxy setup or blocks.