What's New

New updates and improvements to SearchApi

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January 2026: Update

New
Today, we're thrilled to update you on some of the newest enhancements and give you a sneak peek into what’s coming next.

​MCP Integration​


The ​Remote MCP Integration​ enables AI assistants to call SearchAPI tools directly through the Model Context Protocol.
"Find round-trip flights from NYC to Tokyo in March, under $1000, with one checked bag"

We're starting with travel (flights, hotels, vacation rentals), but this is just the beginning. We have 100+ APIs and will continue adding tools based on your needs.

What's a bundle?

A bundle is a collection of tools you connect to your AI assistant. We offer preconfigured bundles, such as Google Travel, but you can also build your own. Pick exactly the tools you need and create a custom bundle for your workflow.
What we launched: 
  • 7 travel tools - flights (one-way, round-trip, price calendars), hotels, vacation rentals.
  • LLM-optimized - every tool is designed for AI assistants with clear parameters, practical examples, and human-readable values.
  • Works with any MCP client - setup guides included for Claude Code, Claude Desktop, and Cursor

We will continue to add new bundles and tools based on your feedback. So share your needs and use cases. We are building for you.

​Google Shopping Autocomplete API​

The ​Google Shopping Autocomplete API​ returns structured autocomplete suggestions from Google Shopping. It includes:

  • Suggestions - The suggestions array returns suggested query values generated as users type, reflecting real-time shopping intent.

​Walmart Reviews API​

The ​Walmart Reviews API ​returns structured review, sentiment, and media data for a single Walmart product. It includes:

  • Product Data - The product object provides core fields such as title, product link, average rating, total review count, number of text reviews, recommendation percentage, media count, and a full star-rating histogram with per-rating counts and percentages.
  • Customer Reviews - The reviews.customer_reviews array returns individual reviews with review ID, title (when available), full text, rating, review dates (human-readable and ISO), user identifiers, user name, feedback counts, verification badges, seller information, fulfillment type, and item-level metadata.
  • Top Reviews - Dedicated top_positive_review and top_negative_review objects return representative customer feedback, including full review text, rating, timestamps, and reviewer metadata.
  • Aspect Statistics - The aspect_stats array highlights frequently mentioned product aspects (e.g. battery, handle, scratches) with occurrence counts, enabling topic-based analysis and filtering.
  • AI Review Summary - The ai_summary object provides an overview, including a title, natural-language summary, and aspect-level sentiment spans with polarity indicators.
  • Bullet Review Summary - The bullet_review_summary object groups feedback into pros, neutral points, and cons, each with standardized aspect names, polarity, and short summaries.
  • Review Media - The product_media array returns images submitted with reviews, including normal and thumbnail URLs and associated ratings.


​Facebook Business Page Reviews API​

The ​Facebook Business Page Reviews API​ returns structured review data for a public Facebook business page. It includes:

  • Reviews - The reviews array returns individual page reviews with review ID, review link, recommendation status (recommend/doesn’t recommend), full review text, and review dates in both human-readable and ISO formats.
  • User Information - Each review includes a nested user object containing user ID, name, profile link (when available), and thumbnail image URL.
  • Engagement Metrics - Reviews return reactions_count and comments_count, allowing analysis of engagement and visibility per review.


HTTP Post Request


HTTP POST request support was added to address pagination limitations when working with large result sets.

When paginating through extensive datasets, the next_page_token can grow significantly in size (for example, 2KB → 5KB → 8KB+ per page). Passing large pagination tokens as URL query parameters can exceed URL length limits enforced by HTTP clients, browsers, proxies, CDNs, load balancers, or servers. This may result in errors such as 414 (URI Too Long) or 413 (Request Entity Too Large).

To mitigate this, POST requests allow pagination tokens to be sent in the JSON request body rather than the URL. This avoids URL size constraints and enables reliable pagination regardless of token length.

This approach is especially important for APIs with opaque or encoded pagination tokens (such as the Meta Ads Library API), where token size is not predictable and can increase across pages.

By supporting HTTP POST, pagination remains stable and consistent even when iterating through very large datasets.


🔧 Engine Improvements:

Google Search API

  • Fixed ai_overview selectors and improved extraction reliability
  • Fixed knowledge_graph selectors
  • Fixed related_questions selectors
  • Fixed inline_images selectors

Google AI Mode API

  • Fixed text_blocks.reference_indexes selectors
  • Fixed q request parameter encoding

Google Images Light API

  • Fixed an edge case that returned empty results

Google Lens API

  • Added has_exact_matches key when search_type=all
  • Fixed issues with incorrectly encoded URLs
  • Fixed country request parameter handling

Google Shopping API

  • Fixed shopping_results.product_id and shopping_results.prds values

Google Product API

  • Fixed an issue returning empty results

Google Product Offers API

  • Fixed offers.extracted_delivery_price selectors
  • Fixed offers.delivery_price selectors
  • Added new keys: promo_code, promo_discount, extracted_promo_discount, promo_expires

Google Maps API

  • Fixed edge cases when results were empty
  • Fixed ads selectors

Google Maps Reviews API

  • Fixed topics extraction

Google News API

  • Added new countries for hl request parameter validation

Bing Search API

  • Fixed local_results selectors
  • Fixed organic_results selectors
  • Fixed knowledge_graph selectors

Bing Images API

  • Fixed images.source.link selectors

Airbnb Search API

  • Improved edge cases when results were not returned

Apple Product API

  • Fixed app_details.logo cases
  • Fixed product.videos extraction

Amazon Product API

  • Fixed product.variants cases

Amazon Offers API

  • Fixed an edge case returning empty results

eBay Search API

  • Fixed organic_results.reviews and organic_results.price extraction

eBay Product API

  • Added a fallback for product.product_id retrieval

YouTube Transcripts API

  • Fixed requests returning empty results

TikTok Ads Library API

  • Fixed an edge case where responses returned no results

Instagram Profile API

  • Added support for posts values

Walmart Product API

  • Fixed reviews.customer_reviews.extracted_date selectors
  • Fixed search_information.meta_title and search_information.meta_description selectors

⏭️ What's coming next?


  • TripAdvisor API
  • Airbnb Experiences API
  • Airbnb Services API
  • TikTok Profile Videos API
  • Google Local API

Stay tuned for more updates! As always, we're committed to providing you with the best experience