Scrapeless Weekly Changelog: September 14–20, 2026
Web Data Collection Specialist
TL;DR:
- Python, Node.js, and Go SDKs add AI Scraper support. The current releases are Python 1.3.0, Node.js 1.12.1, and Go v1.3.0.
- Gemini Scraper can return shopping data. A new request option adds structured product and merchant-offer fields to eligible Gemini responses.
- Five AI Scrapers can return share links. Perplexity, Copilot, ChatGPT, Google AI Overview, and Google AI Mode responses can now include a share-link field.
- Perplexity HTML output is available on request. Teams should confirm enablement with Scrapeless support before building against this response format.
- AI Scraper response quality received a broad maintenance pass. Fixes cover product data, output formatting, redirect-link resolution, missing URLs, service availability, persona text, and ChatGPT type parsing.
The September 14–20 release brings AI Scraper into all three Scrapeless SDKs and expands the structured data available from several answer engines. Gemini adds shopping data, five actors add share-link output, and Perplexity gains an HTML response option for approved use cases. A separate maintenance pass corrects response and parsing issues across AI Scraper.
AI Scraper Arrives in All Three Scrapeless SDKs
The latest Python, Node.js, and Go SDK releases expose AI Scraper task creation and result retrieval through their native client interfaces. Applications can submit an actor-specific input object, receive the task identifier and status, and retrieve the actor response without building the HTTP request layer themselves.
| SDK | Previous version | Current version | Verified release surfaces |
|---|---|---|---|
| Python | 1.2.1 | 1.3.0 | Python SDK v1.3.0 tag · PyPI scrapeless 1.3.0 |
| Node.js | 1.11.0 | 1.12.1 | Node SDK v1.12.1 tag · npm registry record for SDK 1.12.1 |
| Go | v1.2.0 | v1.3.0 | Go SDK v1.3.0 tag · Go module v1.3.0 |
Python 1.3.0 and Go v1.3.0 add dedicated AI Scraper services. For Node.js, AI Scraper support landed in 1.12.0 and the current 1.12.1 release updates the accompanying documentation. The Python release also corrects a profile gateway address issue.
Each SDK exposes methods for creating an AI Scraper task and retrieving its result. Actor-specific input remains flexible, so teams can use supported actors without waiting for a new language-specific input type. The Scrapeless SDK documentation and AI Scraper documentation provide the current integration entry points.
Gemini Scraper Adds Shopping Data
Gemini Scraper can now return structured shopping data when the shopping option is enabled. Eligible responses can include product titles, product URLs, brands, ratings, price ranges, thumbnails, variants, reviews, and store-level offers.
The store data can include merchant names, direct product links, prices, availability-related details, delivery information, and total price. This makes the response easier to use in product research, offer comparison, and AI-search visibility workflows without rebuilding product cards from answer text.
The live Gemini Scraper reference documents the request control and response fields. Shopping data adds extra processing and uses the pricing described in that reference, so integrations should enable it only when product-level output is needed.
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Share Links Expand Across AI Scraper
Perplexity, Copilot, ChatGPT, Google AI Overview, and Google AI Mode responses can now include a share-link field. Teams can store the returned value next to the structured answer when a result needs to move into review, collaboration, or customer-facing evidence workflows.
The field should be treated as an opaque returned value. This changelog does not assume a field name, retention period, or access policy that is not present in the response. The Copilot Scraper reference remains the public request and response reference for that actor.
Perplexity HTML Output and AI Mode Parsing
Perplexity Scraper can provide HTML output for accounts with the feature enabled. Because availability is configured for specific customer requirements, teams should contact Scrapeless support before depending on the format in production. The Perplexity Scraper reference remains the baseline for generally available fields.
Google AI Mode response parsing has also been expanded to cover additional returned data. The release keeps those fields in the structured response instead of leaving integrations to recover them from rendered content. The Google AI Mode reference documents the current public response model.
Reliability and Response-Quality Fixes
This week’s maintenance work addresses several customer-visible response issues:
- AI Scraper product data and formatting. Missing product information and inconsistent output formatting were corrected across affected responses.
- Google AI Overview and AI Mode redirect links.
/goto?url=values are converted to their final destinations more consistently. - Perplexity URLs. A case where the response omitted URL data has been fixed.
- Grok availability. The affected service interruption has been resolved and the actor is back online.
- Amazon Rufus persona text. Responses in the affected US workflow no longer include the unwanted persona content.
- ChatGPT response types. A return-type parsing error has been fixed to improve successful response handling.
These changes are service-side corrections. Existing request structures do not need to change for the fixed behavior.
Conclusion
This release gives Python, Node.js, and Go teams a first-class SDK path into AI Scraper. Gemini shopping data adds a richer product layer, share links make AI answers easier to move into review workflows, and the response-quality fixes reduce downstream cleanup across several actors.
AI Scraper is part of the Universal Scraping API. The Scrapeless Scraper API guide explains how the actor model fits into a broader data workflow. Review Scrapeless pricing when planning production usage.
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