We offer fully managed data extraction and automation services that excel in sourcing, crawling, extracting, parsing, structuring, and delivering datasets.

Joined June 2024
109 Photos and videos
The two most expensive words in a data project: "just enrich." 💰 Behind that "just" is a team doing the math nobody else will. The bug found at midnight. The footnote everyone skips. Another ticket on a pipeline that's still being built. #DataOps #DataQuality #DataPipelines
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To all the Mama Bears at Forage AI, the moms, and everyone else who show up like one, we want to say thank you. Happy Mother's Day. linkedin.com/posts/forageai_…
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"Do. Or do not. There is no try." — Yoda, who clearly never had to debug a scraper at 2am Most teams try web data extraction just to discover 1/3 of their URLs are dead, half the fields are empty, & the schema changed at midnight. Stop trying. Start Foraging #MayTheFourthDay
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Healthcare data extraction requires adaptive intelligence to streamline operations, ensuring accuracy and efficiency across diverse sources and changing formats. Full guide: forage.ai/blog/healthcare-da…
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What data should we use to train our models? Public data gives access to a broad set of insights and trends. Private data, on the other hand, offers detailed and reliable information that can make results more accurate and relevant. forage.ai/blog/public-web-da…
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Getting a massive spreadsheet of raw data is not helpful if your team has to spend days cleaning it up. Don’t let messy data hold you back. Pick a solution that gives you information you can trust. Here’s a guide to help you find the right solution: forage.ai/blog/top-10-web-sc…
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When you use off-the-shelf web crawlers, it’s like asking a stranger to find information for you; they return generic results, and you may be at risk. Choose a custom web crawling solution that truly understands your business. forage.ai/web-data-extractio…
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When you try to collect more data, you often end up spending more money, hiring more people, or working longer hours. This cycle can be tiring and eventually slows down your growth. Here's a smarter solution: forage.ai/web-data-extractio…
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Generic web scraping casts a wide, sloppy net. The result? You end up with unstructured chaos that creates more work than it saves. Don’t accept average results. Choose data that truly fits your needs. Here’s a guide to choose the right data partner: forage.ai/blog/enterprise-we…
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With natural language understanding, AI agents recognize entities even when formats are inconsistent. The result: up to 80% less manual review, smarter matching across any naming format. To learn more, visit: lnkd.in/g7kDvwrS
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Balancing strict deadlines with messy data is one of the toughest challenges in Entity Matching. Read below for solution👇 #EntityResolution
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We no longer need to depend on fragile rules. Instead, we can create a hybrid engine that combines Large Language Models (LLMs) to interpret messy context with Knowledge Graphs to enforce solid facts. #llm
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If you can make your scrapers read context instead of syntax, they will stop breaking. Here’s how to do it.
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Just like a human, the Agent doesn't panic if the underlying HTML changes. It looks at the page. It recognizes "Product Price." It recognizes "Add to Cart." If the layout moves to the left? The Agent adjusts instantly. Just like that.
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