- Enhanced the regular expression for mentions to prevent trailing punctuation from being included in handles.
- Added support for extracting media IDs from deep-link meta tags in anonymous posts.
- Updated unit tests to validate the new media ID extraction and ensure proper handling of mentions.
- Added support for extracting likes, comments, username, timestamp, and caption from Open Graph meta tags.
- Implemented fallback mechanisms to ensure graceful degradation when expected data is missing.
- Updated unit tests to validate new parsing logic and ensure robustness against unrecognized formats.
The Explore feed (/api/explore/item_list) is a global trending-video feed
served to anonymous sessions, and it returns the same itemStruct shape as the
other listings — so the verb reuses parse_video, the listing flow, the
TikTokVideoItem output, and the per-video billing meter wholesale. Adds a
browser-capture marker + fetch_trending, a synthetic-target orchestrator entry,
and the tiktok.trending capability, surfaced on the chat subagent.
Comments load over a signed /api/comment/list XHR that TikTok serves to
anonymous sessions once the comments panel is opened (unlike profile-video and
general-search feeds), so this is a reliable verb. Given video URLs it returns
CommentItems (text, author, likes, reply counts; replies carry repliesToId),
deduped per video, capped, and degraded to an ErrorItem for empty/withheld
videos or a bad_url ErrorItem for non-video inputs.
Generalizes the browser capture over a pluggable interaction step so the
comments flow (open panel, scroll the panel to paginate) reuses the same
warm+capture scaffolding as listing/user-search. Billed per comment on a new
TIKTOK_COMMENT meter (TIKTOK_MICROS_PER_COMMENT, matching the per-comment
market), surfaced on the chat subagent alongside tiktok.scrape/user_search.
Video/general search is login-walled for anonymous sessions, but the Users
tab (/api/search/user) returns public account records without a redirect, so
this exposes the one reliably-unblocked search path. A keyword yields
TikTokProfileItems (name, followers, bio, verification), deduped per query,
capped, and degraded to an ErrorItem when a query is empty/withheld.
Reuses the browser capture (generalized over XHR markers + extractor) and the
shared profile item shape. Billed per account on a new TIKTOK_USER meter
(TIKTOK_MICROS_PER_USER), surfaced on the chat subagent alongside tiktok.scrape.
A profile's account data (name, followers, bio, verification) lives in the
page's rehydration blob and loads over plain HTTP without a signed request,
so emit it first and always. The video listing needs a signed item_list XHR
that TikTok withholds from anonymous sessions, so it stays best-effort and
degrades to an ErrorItem. A blocked profile now yields its metadata instead
of only an ErrorItem.
Introduced new tests to validate the behavior of the Instagram scraper when discovering anonymous profiles and handling hashtag searches. The tests ensure that profile lookups succeed without requiring authentication, while hashtag searches correctly raise an error when access is blocked, enhancing the robustness of the scraper's functionality.
Revised tests for handling login redirects to improve clarity and efficiency. The test for immediate failure on endpoint-level walls was updated to prevent unnecessary IP rotations. Additionally, new tests were added to ensure that partial results are returned when encountering blocked targets, enhancing the resilience of the scraper's batch processing.
Introduced a new test to ensure that InstagramAccessBlockedError is properly propagated without causing deadlocks in the scraper's fan_out function. This regression test verifies that the error surfaces correctly when a blocked job is encountered, enhancing the resilience of the fetch process.
Added tests to handle scenarios where a 200 status response is redirected to a login page, ensuring proper rotation of IPs and raising errors when persistent login redirects occur. Updated the _FakeSession class to support login wall detection.
Profile and search feeds are trust-gated: an anonymous headless session
gets an empty item_list (profile) or no results XHR (search), while
hashtag feeds load. A zero-item listing now yields one honest ErrorItem
(errorCode="no_items") instead of vanishing silently, and ErrorItems are
excluded from billing so a blocked target is surfaced but never charged.
- Introduced a semaphore to limit concurrent page renders, enhancing resource management.
- Updated session handling to defer browser closure until all in-flight renders are complete.
- Improved comments for clarity on the behavior of concurrent fetches and session lifecycle.
- Cleaned up imports in alembic environment and migration flow scripts for consistency.
- Adjusted Google Maps and YouTube micro pricing in the .env.example file for better cost management.
- Introduced new environment variables for captcha solving and stealth browser hardening to improve scraping resilience.
- Removed outdated smoke test for scraper API endpoints to streamline testing.
- Enhanced anonymous chat agent's system prompt to clarify capabilities and suggest account creation for advanced features.
- Updated Reddit fetch logic to prioritize new session handling and improve resilience against IP-related issues.
- Added compacting functionality for scraper results to optimize data handling and presentation.
- Improved workspace and document management tools with clearer descriptions and enhanced functionality.
- Introduced new UI components for agent setup guidance in the web application.
Crawler engine: escalate thin JS-shell pages past static fetch, repair
currency-lossy extractions, emit categorized link records with anchor
provenance, and decode percent-encoded mailto:/tel: contacts; site crawls
reuse the connector ladder via Scrapling's spider engine with URL pattern
filters. Agent layer: read_run gains char_offset paging, search_run gains
match excerpts, new export_run turns stored runs into CSV workspace docs;
reddit search fair-shares the item budget across queries and dedupes
cross-query hits. Subagent prompts and routing teach crawl-after-search,
full-run coverage before summarizing, and executing own-tool next steps
instead of returning partial.
- Added a new `reddit` subagent to scrape structured data from Reddit posts, comments, and users.
- Introduced `reddit.scrape` capability for fetching data using URLs and search queries.
- Implemented tools for scraping and parsing Reddit data, including handling pagination and rate limits.
- Created input/output models for the Reddit scraper to define request and response structures.
- Added documentation for the new Reddit scraping functionality and its usage.
- Integrated the Reddit subagent into the existing multi-agent chat framework.
Resolve conflicts against the new native google-maps actor + repo-wide
ruff-format pass:
- Keep legacy webcrawler KB indexer + its test deleted (modify/delete).
- test_validators: keep WEBCRAWLER case removed (validator gone).
- test_fetch_resilience: keep platforms.youtube import path (our reorg).
- Relocate google_maps actor + tests scrapers/ -> platforms/ to match the
reorg convention (youtube already there); rewrite imports + fixture paths.
- Add missing __init__.py across the capabilities/ test subtree so duplicate
test basenames get unique module paths under importlib mode.
Note: google_maps fixture-backed tests error on ci_mvp too (fixtures/*.json
never committed upstream) - pre-existing, out of scope here.
