Benzinga prints each rating change with the research firm, the old and new price target and the old and new rating. Our Benzinga scraper turns its calendars into dated rows.
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API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Benzinga pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
Tell us which Benzinga pages you need - the analyst ratings table, one or more calendars, quote pages for a ticker list, news headlines by channel - and how often. We build the crawler, run it on that schedule and keep it working when the site moves a column or renames a tab. The calendar tables render in the browser, so rendering, pacing, proxy rotation and CAPTCHA handling are included in the service rather than left to you. Every table arrives with its own documented schema, keyed on ticker and date, so ratings, earnings and dividends join without manual matching. Start with a free assessment of the pages and tickers in scope, then order a sample. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Benzinga publishes its market data as sortable tables, one per calendar, and its analyst ratings pages carry a Get Alert link beside each call. We keep the columns as the site names them and add the ticker, the date read and the page the row came from.
Analyst names are left out by default, so a rating row is delivered by firm, action and target. Content reserved for Benzinga Pro and Benzinga Edge members stays out of the dataset.
The calendars look ahead and the ratings pages lead with the newest calls, so Benzinga historical data comes from running the same pages on a schedule and keeping each state.
Benzinga is a financial news and market data publisher. Its newsroom files short, ticker-tagged stories through the trading day, and recurring roundups - the top ratings upgrades and downgrades, the earnings scheduled for a given day, the week's scheduled IPOs - turn the market tables into daily articles.
For anyone collecting it, the structure is the point. An article address carries its section, such as markets, analyst-ratings or trading-ideas, then the year, the month and a numeric article id, and a corrected story is marked CORRECTED in its headline. Calendars live under /calendars/, among them analyst ratings, earnings, dividends, IPOs, economic releases and unusual options activity. Quote pages sit at /quote/ plus the ticker, with sub-pages such as unusual options for that one stock.
Two paid products sit on top, Benzinga Pro and Benzinga Edge, and part of the content is reserved for their members. The free site is what our Benzinga dataset is built from: any reader can open the analyst ratings pages and sort them by ticker, company, firm or rating change.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsBenzinga's tables are short-horizon by design: what changed today, what reports this week. Collected on a schedule, they become event data.
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ScrapeIt builds and runs crawlers for clients who need web data on a schedule, from market calendars to marketplace listings. On Benzinga that means table-by-table collection with stable column names, a documented schema and delivery where you want it - CSV or JSON files, Amazon S3, Google Cloud Storage, or a load straight into your database. Personal data is handled under GDPR: analyst and author names are left out by default, and individual analysts are never profiled.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt Benzinga API returns rating changes with research firm, prior and current price target and rating, together with earnings, dividend and IPO calendar rows, as JSON from an endpoint we host, refreshed as often as you decide. The same tables are available as CSV or XLSX files or a JSON feed, or can be written straight into your database.
Yes. The analyst ratings table, the calendars, quote pages and news headlines are open to visitors without a Benzinga Pro or Edge subscription. We collect only publicly available data - everything a visitor can see on Benzinga without paying - and we collect it legally.
The ratings pages lead with the newest calls, so a run every hour or two during US market hours records when each change first appeared, and an evening run closes the day. In earnings season the earnings calendar needs a run before the open and another after the close, because Actual EPS and the surprise columns fill in as companies report.
Yes. We collect headline, publish time, channel, the tickers a story is tagged with and the numeric article id, for a ticker list or for whole sections such as analyst ratings or markets. A corrected story is marked CORRECTED in its headline, and with scheduled runs both versions of the headline stay in the data.
The public calendar tables under /calendars/: analyst ratings with their upgrades, downgrades and initiations, earnings, dividends, IPOs, economic releases and unusual options activity, and the other event calendars listed there. Each keeps its own column set, so we deliver them as separate tables joined on ticker and date instead of forcing one schema on all of them.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
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.
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.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
Benzinga data from €169/month. Free project assessment, reply within 1 business day.