Search APIs

Enhance your Google search scraping with specialized engines tailored for specific scenarios.

Given the intricate nature of Google search, we've deconstructed various scenarios and encapsulated them into distinct search engines, aptly termed Google Search Engines. To extract particular data subsets from Google, simply define the relevant engine=<GOOGLE_ENGINE> parameter within your request.

List of Google Engines Within this segment of the Google API documentation, we elucidate the entire gamut of accessible engines. Each engine is supplemented with its specific parameters and a comprehensive guide, replete with illustrative examples for each search variant:

• google: Extract standard Google search outcomes.

• google_maps: Mine data from Google Maps results.

• google_maps_reviews: Harvest reviews displayed on Google Maps.

• google_maps_photos: Extract photos showcased on Google Maps.

• google_autocomplete: Gather Google's suggested keywords based on user input.

• google_scholar: Extract search results from Google Scholar.

• google_scholar_profiles: Harvest search results specific to Google Scholar Profiles.

• google_scholar_author: Extract author-specific results from Google Scholar.

• google_scholar_cite: Procure citation data linked to a specific Google Scholar Author.

• google_product: Extract data from Google Product listings.

• google_reverse_image: Mine results from Google's Reverse Image search.

• google_jobs: Gather results from Google Jobs search.

• google_jobs_listing: Extract specific listings from Google Jobs.

• google_events: Harvest event-related data from Google Events.

• google_play: Extract search results from Google Play.

• google_trends: Mine trending data from Google Trends.

By utilizing these specialized engines, you can ensure precision and efficiency in your web scraping endeavors.