Connect WebCrawler API and kafkai to Build Intelligent Automations
Enable Integrations or automations with these events of WebCrawler API and kafkai
Enable Integrations or automations with these events of WebCrawler API and kafkai
Actions
Scrape Webpage
Scrape content from any webpage.
Start Crawl Job
Start Crawl Job for any Website.
Search Crawl Job URL
Get url from Crawl Job ID.
Get Crawl Job
Get the Crawl Job from ID.
Cancel Crawl Job
Cancel a Crawl Job from ID.
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Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
- TwitterTwitter TweetPost a TweetAdd Step
- LinkedinLinkedin ArticleCreate a linkedin Article or URL postAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your WebCrawler API and kafkai accounts to viaSocket. Once connected, you can set up a workflow where an event in WebCrawler API triggers actions in kafkai (or vice versa).
Absolutely. You can customize how WebCrawler API data is recorded in kafkai. This includes choosing which data fields go into which fields of kafkai, setting up custom formats, and filtering out unwanted information.
The data sync between WebCrawler API and kafkai typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between WebCrawler API and kafkai. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About WebCrawler API
WebCrawler API provides a powerful and efficient way to extract data from websites. It is designed to help developers and businesses automate the process of web scraping, enabling them to gather information from various online sources quickly and accurately. With features like customizable crawling rules, data extraction, and integration capabilities, WebCrawler API is an essential tool for anyone looking to harness the power of web data.
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About kafkai
Kafkai is an AI article writer that uses machine-learning algorithms to write articles from scratch.
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