No more diving into complex DOM structures or writing fragile XPath expressions. Just specify what data you are scraping from the web with natural language-like queries, and AgentQL handles the rest.
Thank you @shushant_lakhyani ! We value our customers' feedback immensely and continue to move toward our mission of painless data extraction and web automation. Let us know what AgentlQL will help you as well!
@shushant_lakhyani Thanks so much for the support! We’re thrilled to have you rooting for us. Fingers crossed for that top spot—your encouragement means a lot! All the best to you too!
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I think I like this.
Will experiment more.
Would love a page to show the different kinds of things/pages we can grab the information from.
Also, if there is an option to filter the things to scrape.
Like, from a list of jobs, only pull sales jobs.
@amit_sarda Amit, glad you'd like to explore.
AgentQL supports semantic filter, for for sales only jobs, you can do:
{
jobs (sales only) [] {
job_title
company
other_info....
}
}
You can find various examples of AgentQL applications here:
https://github.com/tinyfish-io/f...
Some of those might be helpful for you to get started with:
Search and collect product info: https://github.com/tinyfish-io/f...
Compare product prices across different stores: https://github.com/tinyfish-io/f...
We'd like to explore the use cases together with you. Feel free to join our discord: https://discord.gg/agentql
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Will try out web scraping for my personal research projects!
@wendy_w1 Thank you Wendy! Excited to have you with us, and we can’t wait to share what’s coming next!
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AgentQL is probably the easiest web data extraction tool that I have ever used. While it doesn't require all the back and forth editing to choose the right web elements, it still offers the ability to use code to process the data extracted !
Give it a try and you won't regret!
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