logo
DE

WeChat Official Account Keyword Search

Give one keyword and get matching WeChat Official Account articles with titles, summaries, links, account details, and publish times.

Original · en-USZur Übersetzung

DatenerfassungSocial MediaWeChat Official AccountsPosts
Entwickler
super_ig
Preise
Ab 0,5 $ / 15 Datensätze
Zuletzt aktualisiert
2026-10-12

Übersicht

Researching how a brand, product, or topic shows up in WeChat Official Account search usually starts with a page of articles that is hard to keep, compare, or reuse. This app turns one keyword into a structured set of matching public articles. Each record keeps the article, its Official Account, title, summary, public link, cover, and publish time together, so the dataset can be filtered, ranked, or joined later without reconstructing the search by hand.

The result is useful when the question is which public Official Account articles are discoverable for brand monitoring, topic research, or content planning. Compared with copying items from search pages, it keeps identifiers, titles, summaries, and links in one table that can be reused.

Data notes

Each record represents one WeChat Official Account article associated with the submitted keyword, or a no-data marker for that search. Content IDs are de-duplicated within the returned dataset. Results are ordered by Collection time from earliest to latest. Search ranking only affects which articles are collected, not the order of the returned table. Article title and Article summary may include search highlight tags from the source page; they are listing fields, not the full article body. Publish time, Publish time text, and Collection time follow the source representation, whose time zone is not specified. Publish time text is the relative display wording captured at collection and does not update later. Matched keyword and Source item preserve the search context and may repeat across records from the same task.

The dataset covers public articles discoverable through WeChat Official Account keyword search. Deleted, private, login-only, and otherwise non-searchable content is outside its scope. A No-data marker distinguishes task metadata that reports no matching content from ordinary matched articles.

What a result looks like

Each row is one matched WeChat Official Account article or a no-data marker associated with the search keyword.

Content IDAccount nameArticle titlePublish timeMatched keyword
MzY5MTMyODg2OA-2247486241-1科技小柚奇瑞新车官宣上市，仅18.98万元起2026-10-02T08:52:08长安深蓝 G318
Mzg4NjE0NTU2Mw-2247489221-1涡轮之家11.99万起步激光雷达入15万，深蓝S05别盲目跟风2026-10-06T15:54:04长安深蓝 G318

Article summary, Article URL, Cover URL, Account ID, Collection time, Publish time text, Source item, and No-data marker are also available when supplied with the record.

Use cases

  • For brand monitoring, group rows by Matched keyword and scan Article title, Article summary, and Publish time to see which public articles are discoverable for a term.
  • For publisher research, combine Account name, Account ID, and Article URL to shortlist Official Accounts that appear in search.
  • For content planning, compare Article title wording and Publish time to see how a topic is being framed in public listings.
  • For follow-up review, open Article URL values and filter on No-data marker to separate empty-search metadata from usable matched articles.

Anwendungsbereich & Grenzen

One keyword per task. Expected result count is 1-75 and may round up to complete pages of 15. Collection covers the first 5 pages of public WeChat Official Account keyword search results.

  • Geeignet für
  • When you need WeChat Official Account article leads about a brand, product, or topic.
  • When you need a sample of public articles filtered by publish-time range and search ranking.
  • Nicht verwenden für
  • When you need full article text, read counts, likes, or comments.
  • When you need exhaustive coverage, an exact hit total, or results beyond the collection window.

Fehlerbehandlung

Vom Entwickler deklariertes Fehler- und Wiederholungsverhalten. Wir empfehlen, es bei der Integration in Ihren System-Prompt aufzunehmen.

  1. 1If no matching articles are returned, check the keyword and publish-time range; a no-data marker is not an ordinary article.
  2. 2After an authentication failure, check the credential configured in the execution environment and the interface permission; do not keep submitting invalid requests.
  3. 3Each accepted submit creates a new task. If submission outcome is unknown, the wait times out, or status refresh fails, inspect the original task before resubmitting.
  4. 4Keep returned records after a partial success; they are not a complete collection. After a failed or expired task, inspect the cause before submitting again.

Eingabe

Parameter, die zum Aufruf dieser App erforderlich sind, generiert aus dem input.schema in der manifest.json.

  • Search keywordkeywordErforderlichstring
    A brand, product, topic, or phrase to search on WeChat Official Accounts. Each task accepts one keyword from 1 to 512 characters.
    Beispiel长安深蓝 G318
  • Expected result countcrawl_countOptionalinteger
    Expected number of articles to collect, from 1 to 75. Results are returned in complete pages of 15 and may round up; for example, 20 may return 30. If omitted, the system decides; fill it when you need a specific count. Billing also uses 15-record units and rounds up.
    Bereich1–75
  • Publish time rangepublish_time_typeOptionalstring(enum)
    Limits articles by when they were published. If omitted, the system decides; fill it when you need a specific window.
    Zulässige WerteAll publish timesALLPast dayONE_DAYPast 7 daysSEVEN_DAYSPast 6 monthsHALF_YEAR
  • Search rankingsort_typeOptionalstring(enum)
    Controls ranking during search collection only. Final results are still returned in collection-time order. The protocol value for latest ranking is LASTEST. If omitted, the system decides; fill it when you need a specific ranking.
    Zulässige WerteComprehensiveCOMPREHENSIVELatestLASTESTHottestHOT

Ausgabe

Feldstruktur eines einzelnen Datensatzes, generiert aus dem output.schema in der manifest.json.

  • Content IDcontent_idstring
    Identifier of the matched WeChat Official Account article; it may be empty when the source does not supply it.
    BeispielMzY5MTMyODg2OA-2247486241-1
  • Account IDaccount_idstring
    Identifier of the Official Account that published the article; it may be empty when the source does not supply it.
    BeispielMzY5MTMyODg2OA
  • Account nameaccount_namestring
    Display name of the Official Account; it may be empty when the source does not supply it.
    Beispiel科技小柚
  • Article titlecontent_titlestring
    Listing title of the article. It may include search highlight tags from the source page and is not the full article body; it may be empty when the source does not supply it.
    Beispiel奇瑞新车官宣上市，仅18.98万元起

Beispieldaten

Aus output.schema erzeugt. Felder ohne Beispielwert verwenden strukturelle Platzhalter.

output.example
{
  "content_id": "MzY5MTMyODg2OA-2247486241-1",
  "account_id": "MzY5MTMyODg2OA",
  "account_name": "科技小柚",
  "content_title": "奇瑞新车官宣上市，仅18.98万元起",
  "content_desc": "包括了2026款<em class=\"highlight\">长安深蓝G318</em>，看似不起眼的，该车是限时19.68万起，搭载了华为乾崑那套东西。而比亚迪的方程豹钛7 DM长续航版19.58万起。虽然V27的长续航顶配，比钛7四驱Ultra便宜了2.2万，甚至还多抠出来一颗激光雷达。",
  "content_url": "http://mp.weixin.qq.com/s?__biz=MzY5MTMyODg2OA==&mid=2247486241&idx=1&sn=f5970b195a21435c289db7e5e2420f15&chksm=f57ecb94875097b21cf942ff683d7f38af81d630c1d3f2f835605df46c483af1957bb63f0738&scene=7#rd",
  "cover_url": "https://mmbiz.qpic.cn/mmbiz_jpg/pzVcN0r8UylblvMV2WJ4tpy0g2abO2Iib0pHMqVVkYOGadGxUtBqju1Ebh7JuzIYhk7iaqgEToI6smzxaNn1ibiaLxmiaMuqafMKkC3clps6Sl2U/0?wx_fmt=jpeg",
  "publish_time": "2026-10-02T08:52:08",
  "publish_time_text": "6天前",
  "crawl_time": "2026-10-08T16:42:37",
  "keyword": "长安深蓝 G318",
  "source_item": "长安深蓝 G318",
  "no_data": false
}

Integration

Diese App kann über MCP, API, SDK oder Dateiexport integriert werden — alle Kanäle teilen sich dieselben Fähigkeiten und Preise. Jede Anfrage authentifiziert sich über den Authorization: Bearer-Header mit einem API Key (langlebig, in der Data Hub Konsole erstellt); MCP-Clients können sich zusätzlich per OAuth ohne Key anmelden. Weitere Optionen wie CLI und Skill sind in Vorbereitung. Diese App läuft asynchron und kann zwischendurch abgebrochen werden: Nach dem Abbruch stoppt der Lauf. Bereits gelieferte Datensätze bleiben erhalten und werden abgerechnet.

Über das MCP (Model Context Protocol) können Sie diese App direkt aus KI-Clients wie Claude und Cursor aufrufen. Wählen Sie Ihren Client und den Authentifizierungsmodus und kopieren Sie dann die Konfiguration unten.

Client-Konfiguration

Ersetzen Sie den Wert nach Bearer durch Ihren langlebigen API Key. Funktioniert in jedem Client, in CI und in Headless-Umgebungen.

mcpServers config
{
  "mcpServers": {
    "octoparse_datahub": {
      "type": "http",
      "url": "https://mcp-v2.octoparse.com?pin=super_ig/wechat-keyword-search",
      "headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
    }
  }
}
Meine API Keys anzeigen →

Lassen Sie die KI die Einrichtung übernehmen

Sie möchten Konfigurationen nicht von Hand bearbeiten? Kopieren Sie den Installations-Prompt und fügen Sie ihn in einen beliebigen KI-Client ein — er schließt die Einrichtung auf seine eigene Weise ab. (Der Prompt weist die KI an, Ihren API Key bei Ihnen zu erfragen, damit Zugangsdaten nie im Chatverlauf oder in geteilten Konfigurationen landen.)

detail.access.mcp.composeHint

Preise

Returned records

Berechnet nach der Anzahl der erfolgreich zurückgegebenen Datensätze. Fehlgeschlagene Läufe werden nicht berechnet. Abgerechnet in Einheiten von 15 Datensätze; jede angefangene Einheit wird auf 15 Datensätze aufgerundet.

0,5 $/ 15 Datensätze
Per task submitted

Wird pro übermitteltem Lauf einmal berechnet, unabhängig davon, wie viele Datensätze zurückgegeben werden.

0,0001 $/ Lauf

Mehrere Abrechnungsereignisse werden unabhängig voneinander kumuliert. Details siehe jeweilige Position. Fehlgeschlagene Läufe werden nicht berechnet.

Credits ansehen

Jetzt ausprobieren

Füllen Sie die Parameter aus und starten Sie — die Ergebnisse stammen aus einem echten Aufruf.

Beispiel
Parameter werden vor dem Absenden gegen input.schema validiert
Ab 0,5 $ / 15 Datensätze