A press release is written to be copied. The wire is one place it lives, and rarely the most useful one to collect it from.
ScrapeIt runs the collection as a managed service. You name the issuers, sectors or subjects; we collect releases from issuer newsrooms, regulatory filings and syndication copies that permit collection, link copies into one release identity, and hand back CSV, JSON, Excel or a push into your warehouse.
Collection runs continuously where timing matters, because the first copy of market-moving news is the one that counts.
We collect only from sources that permit it, exclude personal contact details by default, and treat release text as copyrighted content for analysis rather than republication. Your counsel should see the use case before the project starts.
Release records carry the headline, subheadline, issuer, dateline, release timestamp, body text, industry and subject tags where published, ticker symbols mentioned, and the address of each copy found.
A release identity links copies of the same announcement across sources. Without it, one earnings release collected from four places becomes four events, and every count built on the data is inflated by however many syndication partners happened to be crawled.
Copy timing is recorded per source, because which copy appeared first matters for event studies. The first public timestamp of market-moving news is the moment an analysis should measure from.
Media contact blocks are excluded by default. They contain named individuals with direct email addresses and telephone numbers, and a press release dataset needs the announcement, not a directory of communications staff.
Every row carries the collection timestamp and the source type.
Release deduplication across sources is the foundation, and it needs more than matching headlines, which get edited between copies. We match on issuer, timestamp window and body similarity, and record the confidence of each match.
Event timing analysis measures which copy appeared first and how the announcement propagated, which matters for anyone studying market reaction to corporate news.
Issuer activity profiling - how often a company announces, on what subjects, in which periods - is straightforward once releases are deduplicated, and often reveals more than any single announcement.
On privacy we are firm: media contact blocks are excluded by default because they list named people with direct contact details. On access we are equally plain: the wire's front end did not answer us, and we collect the release from copies that are published to be collected.
Business Wire distributes press releases on behalf of companies and organisations: earnings announcements, product launches, deals, leadership changes and regulatory disclosures, sent to newsrooms, financial platforms and databases worldwide.
The defining fact about this data is that it is designed to be redistributed. The same release appears on the wire, on the issuer's own newsroom, on financial portals and, for listed companies making material announcements, in regulatory filings as well.
That matters because the wire's own front end did not respond to our requests at all - neither the site nor its crawl rules. We do not read silence as permission, and on this source we do not need to: the release itself is available from copies that are published to be read and collected.
The practical question is therefore not how to collect Business Wire, but which copy of each release to collect, and how to recognise that several copies are the same release.
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Most press release projects fail in one of two ways: counting the same release many times, or collecting from a source that is harder and less authoritative than the obvious alternative.
The duplication problem is structural. A release goes to many destinations by design, and a collector that treats each page as an event produces volumes that measure distribution reach rather than corporate activity. Linking copies into one release identity is the core of the work.
The source problem is about authority. For listed companies, material announcements also go to regulators, and the regulatory filing is the version with legal standing. For everything else, the issuer's own newsroom is the original and usually the most stable copy. The wire is a distribution channel, valuable for breadth and timing, but not the only or the best place to read the text.
The third point is timing. For announcements that move prices, the gap between the first public copy and the rest is analytically important and has to be measured across sources rather than assumed.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team maintains the matching that links copies of a release, follows issuer newsrooms as they change, and repairs collection before an announcement goes missing.
You see a sample first, in your format, over the issuers you actually track, with copies linked so you can see how many duplicates a naive collection would have counted.
Its front end did not respond to our requests at all, and we do not read silence as permission. We collect the same releases from copies published to be read: issuer newsrooms, regulatory filings and syndication partners that permit collection.
Because one release is published in many places by design. Without linking, an earnings announcement collected from four sources becomes four events, and every count measures distribution reach instead of corporate activity.
For material announcements by listed companies, the regulatory filing has legal standing. Otherwise the issuer's own newsroom is the original. The wire is a distribution channel - valuable for breadth and timing, not the only place to read the text.
No, not by default. Contact blocks list named people with direct email addresses and telephone numbers. A press release dataset needs the announcement, not a directory of communications staff.
Yes - timing is recorded per source. For announcements that move prices, the first public timestamp is the moment an analysis should measure from, and it has to be observed across sources rather than assumed.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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