Can I search a company’s LinkedIn posts for a keyword using Clay?

basically what i am trying to find is when a law firm had their partner retreat

you can see my prompt in this table but it doesn’t really return the date and it doesn’t return also many results. i’ve highlighted the reponse i am interested in in red.

is there a better way to structure this to have more results?

Hi Theo! 😊 Thanks for reaching out! To clarify, are you specifically interested in posts from LinkedIn company pages, or would posts from individual users also be helpful for your needs? For company page posts, you can try inputting the LinkedIn company URL into your prompt. In addition, you can map the LinkedIn company page to our integration "Find recent posts by User of Company". Alternatively, if the responses aren't as expected, you might want to explore using the RapidAPI company post scraper tool to gather the data you're looking for: [RapidAPI Company Post Scraper](https://rapidapi.com/rockapis-rockapis-default/api/linkedin-data-api/playground/apiendpoint_3edd0762-b6a9-4ee4-9231-c574bedc7019) If you're interested in posts from individual users, you can also make use of the "Find recent posts by User of Company" integration. And if you're seeking posts beyond a specific list of companies, you can experiment with this endpoint: [LinkedIn Data API - Find Posts by People](https://rapidapi.com/rockapis-rockapis-default/api/linkedin-data-api/playground/apiendpoint_cc182abc-6752-4ea6-970b-a41ef7b6d37b) Here you would only input your keywords such as "retreat law" and it would pull all posts by people and/or companies. Hope this information helps! Let me know if you have any other questions or need further assistance.

I tried what you said but it won’t work for example first row could return this but it’s not: https://www.linkedin.com/posts/3pb-barristers_thank-you-to-everyone-who-joined-us-at-[…]701079175170-7o2s?utm_source=share&utm_medium=member_desktop because it contains the keyword annual https://app.clay.com/workspaces/228622/tables/t_QspXbjjWA8zE/views/gv_FQ2sCCrvGkTg

Hi, thanks for reaching out. If you’d like to find LinkedIn posts made by a specific person or company, you can use our "Find Recent Post by User or Company" enrichment. To do this, click "Add Column," then select "Add Enrichment" from the dropdown menu, as shown below. https://downloads.intercomcdn.com/i/o/w28k1kwz/1253308195/5b96e6aae9fe9353ef3689231942/CleanShot%2B2024-11-15%2Bat%2B09_33_09-402x.png?expires=1733427000&signature=201d79ccd9b4427ab6fd17785a089084bb6afbbd2cbc49dcf837381eb40b0f38&req=dSIiFcp%2BlYBWXPMW1HO4zXl0FIU2j9FB0xlWbG76m0qxOA%3D%3D%0A Next, in the menu that appears, search for "Find Recent Posts by User or Company" and select that option. https://downloads.intercomcdn.com/i/o/w28k1kwz/1253308196/9cf29d2db32d7e8222ee116ca70d/CleanShot%2B2024-11-15%2Bat%2B09_34_11-402x.png?expires=1733427000&signature=0a8d43dc8b89e25843a7aae7140c88b448eb561716e66e32ceba52a5dc3baf62&req=dSIiFcp%2BlYBWX%2FMW1HO4zWVJE5WCZuc7jYzuiGLHMmArNA%3D%3D%0A This will open a menu where you’ll be prompted to enter optional parameters for your search. For example, if you’re looking for company retreats, under "Keywords" insert "Annual Company Retreat". This should find any posts with the keywords in them. https://downloads.intercomcdn.com/i/o/w28k1kwz/1253308191/ad6a5e3cab99578d3ea6e9966878/CleanShot%2B2024-11-15%2Bat%2B09_34_55-402x.png?expires=1733427000&signature=c93ef6c1011541e3d4157fe28e90f081814ab54c58dfab653e45cb3672aa1ac4&req=dSIiFcp%2BlYBWWPMW1HO4zU0VGInICGqc%2F7nJh%2BnG%2B%2FSB6w%3D%3D%0A Next, click "Continue to add fields." From there, toggle on the information you’d like to include, then click "Save." https://downloads.intercomcdn.com/i/o/w28k1kwz/1253308193/568d9dad81bd8fcdd11eb5141b67/CleanShot%2B2024-11-15%2Bat%2B09_35_08-402x.png?expires=1733427000&signature=eca706c5c595eb6cd3e98efa621ab67219f9a1d6a4fd3bb682c836302221835c&req=dSIiFcp%2BlYBWWvMW1HO4zUoJD9eAMZu7dGH2QmXPrtiG5w%3D%3D%0A This will generate a new column with the information you were looking for. Let me know if this helps!

Stefano please read the full thread

I’ve done this already and it’s not working

Hi Theo, unfortunately, if you've followed the instructions, there's not much else I can do to assist with this specific improvement. However, here are a few points that might help: 1. Match rate challenges: Our data providers may have gaps in their recent data (due to the way it's collected). You might get better results by expanding the time range you're looking at. 2. Alternative options: -Try using Claygent with GPT-4 to find posts. 3. -Set up Apify with your session cookies if you need real-time data. Just so you know, we’re currently working on a full system overhaul that should allow this functionality to work better in the near future. In the meantime, using these workarounds should help improve your match rates.

I have no time range

Hi Theo, I understand that you don’t have a sp ecific time range in mind. I’d suggest we either use Claygent (which I see you’ve also worked with) or consider setting up an Apify actor. However, for Apify, you’ll need to use your own LinkedIn cookies. I’d be happy to assist you in setting up the Apify actor if you decide to go that route. As for the results from the other enrichments, unfortunately, there’s not much more we can do beyond this approach. I’m happy to refund you credits for any trial and error related to the enrichment process. Let me know how you'd like to proceed!

I’d appreciate you’d rather help me figure out how to maximize my prompt for claygent to be honest Stefano

I totally get it - Here's how I would do this: https://cln.sh/r8YCJjSh Let me know if this helps :)

I am sorry i am confused, why do we do this in another table?

Let me explain why splitting between companies and people tables works best: 1. Speed - Your tables run faster and smoother when data is separated cleanly 2. Organization - You can keep company data in one place and people data in another, making it much easier to manage 3. Better enrichment - You'll get fuller data about the people since they won't be buried in nested company data Plus, you'll avoid hitting column limits or dealing with messy multiple enrichments. Think of it like having two organized filing cabinets instead of throwing everything into one big drawer.