Most LinkedIn outbound is just spam with extra steps. You pull a list. You blast 50 messages a day. You wonder why nobody replies. There's a simple extra step you're missing that's stopping you from 30% positive reply rates. You are sending to people who have not opened LinkedIn in 8 months. Your daily sends are capped at 50. That is it. 50. If even 30% of your list is inactive, you have burned 15 of them on ghosts before the conversation starts. Two filters that fix this immediately: 1. Before you send a single message, run your ICP list through a Bright Data WebScraper API. Filter for LinkedIn activity in the last 90 days. Only contact people who are actually on the platform. Same ICP. Same targeting. 30-40% better response rate just from removing the dead weight. 2. Stop targeting by title and start targeting by behavior. Trigify scrapes LinkedIn engagement, likes, comments, shares, on content relevant to your space. If someone is actively engaging with posts about outbound strategy, pipeline building, or GTM infrastructure, they are warm. They are thinking about it right now. You are not cold-calling. You are joining a conversation they already started. The best LinkedIn outbound in 2026 is not about finding more people. It is about finding fewer, better ones. 50 sends to active, contextually relevant prospects outperforms 500 sends to a filtered export every single time. Your daily limit is not a constraint. It is a forcing function. It forces you to be precise about who actually deserves one of those 50 slots. Most teams treat LinkedIn outbound like a volume game because that is how they think about email. Different platform. Different physics. Figure that out early and you will not waste a quarter learning it the hard way.

For the website bots I tested, they did not seem to have programmed concession info to provide to my RobbieBot. Luckily, my pre-existing webscraper already picks up their concession offers on their splash page (when there is one). Yes to unit types, numbers, etc:

i can only imagine how many email addresses that guy was able to collect least advanced but most effective webscraper ever

O algoritimo do twitter realmente funciona, tá provado. Só pedir no tweet que ele entrega. Quero me #conectar com quem trabalha com EXTRAÇÃO DE DADOS. É extremamente nichado, mas é área que mais me deu fruto a vida inteira, e me colocou pra trabalhar 2x na gringa. Quem for webscraper, trabalhar com scraping em geral da um toque!

If AI was actually intelligent and more than a webscraper, you wouldn't be able to control it

You don't need an IIm. You need a good webscraper and document ingestion with a small nlp model

eu invento uns projetinhos, na época de jr e estag treinava com os cases ja fiz um de sambas enredos, esses tempos tava mexendo com analise de spread bancario, ja fiz um webscraper do ifdata, e por ai vai é mais legal qnd é um assunto q te interessa

@Daily_MailUS is an absolute joke. They publish violations that wouldn’t be allowed in the UK. Especially @MelissaGKoenig webscraper da jour

hey @dwarkesh_sp - we built an agentic webscraper. To test it out I tried to find out all the ongoing data center projects and I refresh it once a week. Let me know if this is somewhat interesting and if you wanted to track some other information. app.matterfact.com/artifacts…

The video is from the cofounder of a super PAC (founded with a former CAP, Biden Admin, and Harris campaign employee) who "made" a competing campaign finance tracker. Their website was designed by AI, their webapp was built by AI, and the data they use is from an AI webscraper.

Tookie-OSINT v4.1 is here! This release includes the new webscraper that can scrape data from the website it self. It also now have a debian file you can install Tookie with! github.com/alfredredbird/too… #osint #hacking #tookie #python #programming #github #cybersecurity #OSINT

acho maneiro webscraper, dashes em geral, modelos de previsão

been away building some homebrew shitty stealth webscraper. what i learned: Opus makes dumb shit decisions once you hit any level of real world complexity how much it cost: $1523.21 in company API credits over three days.

I just updated my webscraper android app so now it can take a tweet, copy it to the clipboard, and send it to ChatGPT automatically. Now I just need someone to tweet something intelligent enough to deserve talking to an AI about.

Uso Linux desde os 15 anos. Usuário de VIM. Kkkkkkk. Programador de webscraper em bash.

Claude Code a Twitter webscraper using Twikit and account cookies (use a burner account for this) to find angels you’re mutuals with or who are in your network (just have a keyword search for angel/investing/etc)

Posted there once. Got no likes and then a webscraper stole it and reposted it elsewhere immediately. This was pre-AI too. Never again.

my body is a webscraper that flags any flutterdash yuri to send to my gf and say “us”

"checking their dms" Yeah no, there is no science behind this at all. Your webscraper cannot "check their dms"

what gets me is using the same model to debug a webscraper, write marketing copy, and architect a database schema in the same afternoon. three completely different skills that would need three different consultants. and the model doesnt even context-switch, it just does it. still feels weird honestly