News monitoring that produces leads, not a feed
Most news monitoring fails the same way. You point something at a set of sources, it returns everything, and within a fortnight nobody opens it. The problem was never collection. It is that the same funding round appears in nine outlets, half the matches are the wrong company with the same name, and an announcement without a contact or a reason to care is not a lead. What makes this useful is the scoring and enrichment that happens after collection.
- Starting at
- from £1,200
- Refresh
- Twice daily, or hourly for time-sensitive signals
- Access
- public web
What comes out of it
- Company name, resolved and deduplicated across outlets
- Event type: funding, hiring, expansion, leadership change
- Amount, round stage, and named investors where reported
- Source URL, publication, and first-seen timestamp
- Enrichment: domain, headcount, location, and contacts
What makes News and press release sources awkward
The hard problem is entity resolution, not fetching. The same round gets reported by several outlets with different company spellings, different amounts, and different investor lists, and a naive pipeline creates nine leads from one event. Clustering by normalised company name, date window, and amount collapses those correctly. Company name disambiguation is worse, since dozens of real businesses share a name and picking the wrong one poisons the enrichment downstream.
I built exactly this for SignalSauce, which ingests five curated sources twice daily, scores every announcement against a custom algorithm, and enriches what passes with 21 structured fields per company. The lesson from that build was that source curation beats source count. Five good sources scored well produce more usable leads than fifty scraped indiscriminately.
Why raw feeds do not work
A raw feed has three failure modes and all of them show up in the first fortnight. Duplication, where one event becomes nine records. False matches, where a company shares a name with a larger one and the enrichment attaches to the wrong business. And no prioritisation, where a seed round in an irrelevant sector sits next to a perfect-fit Series A with nothing to distinguish them.
Scoring fixes the third by encoding what makes a lead good for you: sector, stage, geography, headcount, recency, and whatever else predicts a deal in your pipeline. The output is not everything that happened, it is the fifteen things worth someone's morning.
The scoring model is yours and it is tuned after launch, because the first version is always wrong in ways you only see against real output.
How the pipeline runs
Collection runs on a schedule against a curated source list, writing raw content before any parsing. Extraction pulls candidate events and normalises them into a common shape. Clustering collapses duplicate reports of the same event into a single record with several citations, which is also what makes the output auditable when someone asks where a number came from.
Enrichment then attaches the fields that make an event actionable: domain, headcount, location, and contacts where they can be sourced legitimately. This is the step that turns an announcement into something a salesperson can act on without twenty minutes of manual research.
Delivery is into your CRM, a Slack channel, or a queue your team already works. Same principle as everywhere else on this site: the data should arrive where the work happens.
Cost, timeline, and what drives both
Workflow automation starts from £1,200 for collecting articles from one agreed news source into a defined output. Multi-source collection, clustering, scoring, enrichment and CRM delivery require their own scope and quote.
Two things drive the number. How many sources, obviously, but more importantly how messy they are: a publisher with a clean feed is an afternoon, one that renders through JavaScript with rotating markup is a different job. And how much enrichment you want, since contact-level enrichment usually means paid data providers whose costs are yours and worth deciding on before the build starts.
This source category needs maintenance more than most. Publishers redesign, feeds move, and a pipeline nobody is watching quietly degrades. Plans start at £400 a month and for a system feeding a sales team I would treat it as part of the cost rather than an add-on.
Where the line is
Publicly accessible pages, robots.txt and terms respected.
News monitoring sits on more varied ground than a government API, so the posture matters. I work from publicly accessible pages, respect robots.txt, and stay within terms of service. Where a publisher offers a feed or a licensed API, that is the route I take rather than scraping around it. I do not build systems that get past paywalls, and where a source's terms forbid automated access I will tell you and suggest a licensed alternative instead of quietly doing it anyway.
MathersLabs is not affiliated with or endorsed by News and press release sources. Work is scoped to publicly accessible data and to compliance with applicable terms and law, and feasibility is assessed per engagement before any fixed price is agreed.
Related work
SignalSauce
250 qualified leads a month, fully automated
Built an end-to-end intelligence pipeline that ingests from 5 curated news sources twice daily, scores every announcement against a custom algorithm, and enriches the ones that pass with 21 structured data points per company.
Questions people ask first
Other sources
Is your source on this list?
Tell me what data you need and where it lives. I will tell you whether it is feasible, what it would take, and whether it is worth building before you commit to anything. Working hours overlap with US Eastern and Pacific.