Google
Scraping Teardown

The Google Maps Platform includes multiple APIs for accessing and interacting with geographic and place based data. The Maps API supports map rendering and embedding, the Places API provides structured place information such as names, coordinates, ratings, and opening hours, and the Street View Image API returns panoramic imagery for specific coordinates. These APIs are reliable and widely used, but they operate entirely on a pay per request model. High volume queries, broad place discovery, or large area scans can incur significant costs. Additionally, some endpoints restrict bulk extraction to prevent data replication or competitive indexing.

Requires a Google Cloud project, API key, and billing account. Pricing is usage based and can scale quickly depending on the number of requests.

Although the Google Maps Platform provides high quality structured data, it is not designed for bulk harvesting or large scale analytics. Usage based pricing makes large datasets expensive, and certain types of information such as complete category listings, broad geographic scans, or full review histories are not available through API endpoints. Web scraping becomes the practical option for applications requiring extensive place coverage, competitive location research, multi city analysis, or datasets too costly to acquire exclusively through Google’s paid APIs.

Google News does not have an official API that allows developers to retrieve article listings, publisher metadata, topic clusters, trending sections, or full result pages. While Google provides APIs for search, indexing, and content analysis, none are designed for accessing Google News content programmatically. As a result, developers turn to web scraping or third party services to gather headlines, timestamps, publisher information, story clusters, or live ranking data. These methods can trigger rate limiting, IP blocks, or CAPTCHA challenges, and may violate Google's terms of service. Because of these restrictions, building reliable large scale pipelines for Google News data requires careful handling, proxy rotation, and scraping resilience.

There is no API data available.

Because no official API provides direct access to Google News feeds or aggregated article data, developers rely on web scraping to gather structured information from the site. Google’s existing APIs do not expose trending stories, category feeds, regional editions, or the underlying clustering that powers Google News. This forces developers to scrape public pages to build datasets for research, analytics, or news aggregation. However, scraping Google News can lead to challenges such as rate limiting, IP blocks, CAPTCHA tests, and potential terms of service concerns. Despite these obstacles, web scraping remains the only viable approach for obtaining comprehensive Google News data.

Google Search does not have an official API that provides unrestricted access to full search result pages, ranking data, knowledge panels, autocomplete predictions, or SERP features. The only available option, the Custom Search JSON API, is limited to site-specific or domain-restricted search and cannot retrieve web-wide search results. Because of these limitations, developers use web scraping to collect SERP data such as organic links, ads, featured snippets, image blocks, local packs, and autocomplete suggestions. Scraping Google Search, however, can trigger rate limits, CAPTCHA challenges, IP blocking, and may violate Google’s terms of service. Robust proxy rotation and fingerprint management are typically required for stable extraction.

There is no API data available.

Since Google Search does not offer an API for general search access, developers use web scraping to collect rankings, snippets, ads, local pack results, and other SERP features. The Custom Search API restricts queries to a curated set of sites and cannot be used for retrieving real Google Search results. Scraping is therefore the only practical approach for SEO monitoring, competitive analysis, and research that requires web-wide search visibility. This approach can lead to issues such as blocking, CAPTCHA tests, and potential terms of service challenges, but remains the standard method for programmatically accessing search result data.

Google Scholar does not provide any public API for accessing its data. This means that users or developers cannot extract structured data directly from it.Such data may include information on scholarly articles, citations, or author profiles. Lack of a public API restricts the way users can access data, thus limiting innovation and possibilities of new applications to use this data.

No access to a public API is available, thus there no are specific requirements.

There is no API data available.

Due to lack of a public API for Google Scholar, the only method left for developers to extract large volumes of data is web scraping. This bypasses the user interface and extracts data directly from the HTML of the webpages.However, this is a method that Google does not approve of. Using this may result in banning of the IP address, legal issues, and developers must frequently update their scraping scripts to cope with updating website structures. In spite of that, this remains the only method to obtain large amounts of data from Google Scholar.

Google Images does not have a public API for external data access. This lack of an API means there's no official way to extract information such as image metadata, search trends, or other data. While it's theoretically possible to scrape data directly from Google Images, such approaches are strictly against Google's Terms of Service, which prohibit scraping, and could result in an IP ban or legal action.

N/A as there is no API available to access data.

There is no API data available.

Since Google Images does not provide a public API for data access, developers looking to obtain such data might resort to web scraping techniques. This practice essentially pulls data directly from the webpage, which can include image metadata, search trends, and similar data.However, it's critical to keep in mind that Google's Terms of Service clearly prohibit such activities. Web scraping Google Images is not only likely to result in the user's IP being banned, but could also potentially lead to legal repercussions. Despite the absence of a public API, scraping isn't a recommended or permissible alternative.

Google Shopping, the price comparison website owned by Google, does not provide a public API for accessing its overall public data. All the data is only accessible through the website and no API is available for developers to fetch this data programmatically.

No access possible due to lack of public API.

There is no API data available.

Web scraping is the only way to extract data from Google Shopping due to lack of an official public API. Different types of information such as product data, pricing, availability, seller data, reviews etc. can be accessed through scraping. However, this comes with its own challenges as the site content is quite dynamic and changes frequently.The website also utilises anti-scraping measures due to which developers need to prepare for potential blocks or moderate the scraping speed. Therefore, while scraping is an option, it does require careful planning and handling to successfully extract the desired data.