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WeChat industry research: full-text articles for a market

Full text of the WeChat Official Account (公众号) articles about a market (here: China EV — 新能源汽车, 动力电池, 充电桩), as Markdown and plain text with account, author, original flag and IP location. Ready for LLM summaries and translation. No login.

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WeChat Articles Scraper – 公众号 Search, Full Text & Images
WeChat Articles Scraper – 公众号 Search, Full Text & Imagessmoldesk/wechat-articles-scraper
Cover image url
Published at
Title
Account name
+8 fields
Text
Number
Boolean
List
Object

Input

Search keywords:新能源汽车+2
Max articles per search:30
Get full article text:true

Output fields

Cover image url
Published at
Title
Account name
Author
Summary
Text length
Is original
Ip location
Url
Search query
Content state

How it works

Sign up on Apify or log in

The WeChat Articles Scraper – 公众号 Search, Full Text & Images Actor is ready to run with the inputs already set for "WeChat industry research: full-text articles for a market". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "WeChat industry research: full-text articles for a market" task

The WeChat Articles Scraper – 公众号 Search, Full Text & Images Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, max articles per search, and more, to match your specific use case.

Receive the "WeChat industry research: full-text articles for a market" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as cover image url, published at, title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "WeChat industry research: full-text articles for a market" task via API.

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