WeChat Universal Search Scraper
Pricing
$0.10 / actor start
EN — Search WeChat ecosystem (公众号 / 视频号 / 文章 / 账号) by keyword. 18 business_type filters, cursor auto-pagination, normalized output with large IDs preserved as strings.
LIMITED_PERMISSIONS — how Apify's automated QA and every API-triggered run
starts an Actor — opening the store is refused with HTTP 403
(KeyValueStoreCollectionClient.getOrCreate, path /v2/key-value-stores).
That call sat in a || fallback chain and was never inside a try/catch of
ours, so the throw ended the run with exit code 91 and a reported FAILED run
with zero items. Every store open now goes through a wrapper that returns a
no-op store instead of throwing, so the free-run counter and the run SUMMARY
degrade and the actual work proceeds./v2/key-value-stores; it used a fixed limit=50, which silently
stopped containing gate stores once the account passed 50 of them — and the
account creates a new default store on every run, so that list grows on its
own. The lookup now pages (100 per page, up to 20 pages).defaultRunInput to .actor/actor.json (Layer 3 of §226).DEFAULT_KEYWORD) instead of running with the defaultRunInput the schema advertises.defaultRunInput mirrors schema defaults 1:1 (keyword, businessType, sort, publishTime, maxPages, cursor, raw), so empty-input runs now execute the schema-declared defaults.fetch_search).all / account / article / video / sticker + 13 currently-empty verticals (upstream documents them as server-side gated).cursor + continue_flag opaque token replay; up to 5 pages per run (default 3 = ~30 items).docId / title / coverUrl / source / likeNum / ...) with shape-specific extras (video: exportId + duration + feedNonceId; article: docUrl + description; account: description + iconUrl).businessType=all: detects item shape by discriminator keys and dispatches to the right normalizer.APIFY_USER_IS_PAYING=1 bypass.AbortController + 3-attempt exponential backoff.maxPages clamped to 1-5 (each page costs $0.010 upstream); default 3 = $0.030 per run max.SUMMARY.nextCursor feeds the next run's cursor input.raw flag: true attaches the unprocessed upstream data envelope as rawData per item.keyword / businessType / pagesFetched / requests / pushed / receivedFromSource / businessTypeRaw / hasMoreInSource / nextCursor / startedAt / finishedAt / tier / runsToday.run() end-to-end against captured upstream fixtures).33554499).7 = video (视频号)2 = article (公众号文章)33554499 = account (the actual upstream magic number — upstream API reference lists 14 but the live fetch_search returns 33554499).underline / encyclopedia / live_stream / comment / listen / news / photos / book / moments / image / mini_game / weixin_index / ai_search.