Scrapeless Weekly Changelog: October 26–November 1, 2026

TL;DR:

• Google AI Mode Scraper now supports places. The new field returns map-related information from AI Mode results.
• Perplexity shopping data now includes prices and product citation sources. The expanded output adds context for reviewing AI-generated product recommendations.
• Scrapeless Alternatives and Solutions pages are live. The website now provides dedicated entry points for platform comparisons and data-collection use cases.

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AI answers can include local places, product recommendations, and the sources behind them. The October 26–November 1 release expands how Scrapeless captures those result types: Google AI Mode gains places, while Perplexity shopping output adds price information and product citation sources. New Alternatives and Solutions pages also make the platform easier to explore.

Google AI Mode Adds Map Information Through Places

Google AI Mode Scraper now supports a places field for map-related result information. The addition helps teams retain local-place context alongside the answer when AI Mode returns that content.

Local discovery workflows can use this data to review which places appear in AI answers and compare recommendations across prompts or markets. Keep the returned place information associated with the original query and answer so the record retains its collection context.

The Google AI Mode Scraper reference covers the broader engine contract. When designing a downstream location model, Schema.org’s Place vocabulary provides a useful reference for physical places; it does not define the Scrapeless response schema.

Perplexity Shopping Adds Prices and Citation Sources

Perplexity Scraper now returns richer shopping information, including price and sources. The Perplexity Scraper reference documents the expanded fields:

Field	Meaning
shopping.price	Price description
shopping.price_label	Price label
shopping.merchant	Merchant
shopping.rating	Rating
shopping.sources	Product citation sources
shopping.sources.index	Citation number
shopping.sources.title	Citation title
shopping.sources.url	Citation URL

These fields make product recommendations easier to review. A team can keep the displayed price with its product record and inspect the cited sources instead of treating every recommendation as an isolated title and link.

Price descriptions should remain intact in the stored result. A price may need additional context before it can be compared with another offer. Schema.org’s Offer vocabulary distinguishes price, currency, and availability in commerce data; those concepts are useful when designing a separate normalized model, without assuming that every Perplexity result provides all of them.

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Keep the Answer and Its Structured Data Together

The new place and shopping fields are most useful when stored beside the answer they describe. Preserve the original response before producing a simplified reporting view.

The JSON data interchange standard supports objects and arrays for structured records. Keeping those structures intact lets an application retain the relationship between a product, its price description, and its citation sources. An absent optional field should remain distinguishable from an empty value.

New Alternatives and Solutions Pages Are Live

The new Scrapeless Alternatives hub brings platform-comparison content into one place. It gives teams evaluating a scraping provider a dedicated starting point for reviewing the available comparisons.

The Scrapeless Solutions directory organizes workflows around Google Search API, Agent Browser, Web Unlocker, Crawl, Proxy Solutions, and AI Scraper. Teams can start with the task they need to complete, then explore the corresponding inputs, outputs, and implementation responsibilities.

Conclusion

This week’s release adds more context to AI-answer data. Google AI Mode’s places field extends local-result coverage, while Perplexity’s shopping additions connect product recommendations with price information and citation sources. The new website directories provide additional routes into platform evaluation and use-case discovery.

Explore AI Scraper and review Scrapeless pricing when planning production usage. The TikTok Scraper API guide covers another structured collection workflow.

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FAQ

Q: What does the new AI Mode places field provide?

The places field provides map-related information from Google AI Mode results.

Q: What changed in Perplexity shopping output?

Perplexity shopping output now includes price information and product citation sources, with source citation numbers, titles, and URLs.

Q: How should I use the new Solutions directory?

Choose the product collection that matches your task, then use its focused workflow page and product documentation to plan the integration. The pages describe workflows your team can build; they do not run automatically after signup.