Feedly knows how many people follow each feed, how often it publishes and which sources lead a topic. We turn that public layer into clean data, with no logins and nothing about readers.
Plans from €169/month · Free project assessment · Reply within 1 business day
ScrapeIt runs Feedly scraping end to end. You name topics, languages, publishers, feed URLs or CVE vendors; we build the collector around the public pages, schedule it by velocity so busy feeds are read more often than quiet ones, and deliver CSV, JSON, Excel or a push to your database or bucket. Source lists can also arrive as OPML, ready to load into any reader. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service. Records are deduplicated on feed id and entry id, and article text, where you need it, comes from the publisher's canonical URL, not from Feedly.
Rows keep Feedly's own field names, so Feedly data joins cleanly to whatever else you hold on a publisher.
Every row is stamped with its collection time, which is what turns follower counts into a growth series.
The ScrapeIt Feedly API serves the public layer as JSON from an endpoint we host: source records, topic rankings, recent items and CVE records. Feedly API access is by the Feedly API token we issue to your team, and Feedly API documentation of every field comes with the dataset.
Without an account, Feedly still shows feed search and feed metadata, public streams of recent items, topic recommendations, the CVE pages and the AI model library, and that public layer is what we collect.
Anything tied to an account stays out: personal feeds, Feedly AI Feeds, boards, Read Later, notes, newsletters and Ask AI answers all sit behind sign-in, and we do not log in. Who follows a source is never shown either, only how many.
The Feedly news reader and its AI monitoring products, Feedly Market Intelligence and Feedly Threat Intelligence, are run by feedly, Inc. A Feedly scraper works on the public layer of that system: the sources people follow, the topics they are filed under and the counters Feedly keeps for each. The reading side - personal feeds, folders, Feedly boards, Read Later, notes and highlights - belongs to signed-in accounts and stays out of scope.
The unit of record is the feed. Each feed in Feedly is identified by its URL with a feed/ prefix, and a large publisher often owns several: a main feed, section feeds, podcasts, sometimes a subscriber-only full feed. Each has its own title, website, language, topic tags, follower count, articles per week (Feedly calls this velocity), the date it entered Feedly's index and a dormant state once it stops publishing.
Above the feeds sits the Feedly top blogs directory, Discover Top Blogs: topic pages at /i/top/{topic}-blogs, each with a ranked source list, a topic size and related topics. The sitemap lists roughly 4,000 of them. Discovery is localized by language: the English view groups sources by industry, while the French and German views put Liberation, FAZ.NET or Handelsblatt under local hashtags. The paid products show a public face too, in Feedly CVE pages and an AI model library.
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€199 / one-time
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setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Ranking sources by real readership. Blogs and trade sites rarely publish audience figures, and traffic estimates are guesses. Feedly followers count people who chose to follow a feed, which makes them a practical weight for media lists, outreach targets and source scoring in a monitoring stack. Section feeds are counted apart: in September 2026 the main feed of The Verge had about 1.45 million followers and its AI section about 11,000, a split no site-level metric shows.
Seeding your own crawler. A topic pull returns feed URLs with language, velocity and dormant state, so a news app, research tool or retrieval pipeline starts from live sources and knows how often to poll each one.
Tracking growth. Repeated snapshots of the same sources show which blogs in a niche are gaining followers and which have gone quiet, for competitor content programs and for publishers benchmarking their own feeds.
Vulnerability research. The public CVE layer adds severity, exploitation status and a dated timeline per CVE, which security teams join to their own asset and advisory data.
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 web scraping agency. Our engineers set up your Feedly dataset, review a sample with you before the first full run and keep the collector working when Feedly changes its pages or rebuilds its topic index. You get one contact, a fixed delivery schedule and a price that follows sources, topics and refresh rate rather than seats.
Yes. The ScrapeIt Feedly API returns feed id, title, exact follower count, velocity in articles per week, topic rankings and recent items as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database. Feedly API pricing follows sources, topics and refresh rate: plans start from EUR 169 a month, or EUR 199 for a one-time extract, and we scope your Feedly API free of charge before you commit. Access is by the Feedly API key we issue, and recent items come through the same endpoint, so it doubles as a Feedly news API.
Yes, the lowest Feedly price is zero: the free plan follows up to 100 feeds in 3 folders. Paid Feedly pricing plans add capacity - Pro 1,000 feeds with search and notes, Pro+ 2,500 with AI Feeds, newsletters and Google News feeds. The Feedly Pro price on the US App Store is $7.99 a month and Pro+ $15.99 (September 2026); on the web the Feedly subscription price is shown per month, billed annually, in local currency. The Feedly Enterprise price is quoted by sales, the Feedly Market Intelligence price is currently $1,600 a month billed annually for Standard, and the Feedly Threat Intelligence price is on request.
We read what Feedly shows signed-out: topic pages in Discover Top Blogs, source pages, the feed search and feed metadata behind them, public streams of recent items, CVE pages and the AI library. No accounts and no tokens lifted from Feedly's apps. Coverage is built topic by topic and language by language, then widened through related topics and each publisher's section feeds. Where you need full article text, we fetch it from the publisher, because a feed item in Feedly often carries only a snippet.
Follower counts move slowly, so weekly or monthly snapshots are enough for growth charts. Recent items are polled by velocity, several times a day for a feed posting over a hundred items a week and weekly for a quiet blog, and CVE records daily. Every row carries its collection time. Delivery is CSV, JSON, Excel or a database push, and source lists can come as OPML. That differs from the Feedly export at /i/opml, which moves a user's own subscriptions and leaves out boards, Read Later, AI Feeds and Reddit feeds.
Yes. We collect source records with exact follower counts and articles per week, topic rankings, recent items from public streams, CVE records and the AI model library. All of it is public - what Feedly shows any signed-out visitor - and we collect it legally. What we leave out is anything tied to an account, since we do not log in, and anything about Feedly users beyond how many follow a source.
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.
Feedly data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
