IPOScoop Calendar Scraper
Pricing
from $19.00 / 1,000 results
IPOScoop Calendar Scraper
Scrapes upcoming IPO entries from the IPOScoop Calendar and returns each one as a flat row with company details, offer price, shares, expected date, and the IPOScoop rating.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
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1
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0
Monthly active users
6 days ago
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IPOScoop Calendar Scraper
Scrape upcoming IPO data from the IPOScoop Calendar, tracking every new listing, price range, and expected date. Each record includes the company name, symbol, offer price, shares, and IPO rating. Export to CSV, JSON, Excel, or XML.
IPOScoop publishes a forward-looking IPO calendar that many investors check daily, but there is no official API and manual tracking is slow. This Actor reads the public calendar directly and returns each upcoming IPO as a structured row, so you can feed the data into your own pipeline or spreadsheet without copy-pasting.
| Who uses it | What they scrape IPOScoop for |
|---|---|
| Retail investors | Build a personal watchlist of upcoming IPOs with price ranges and ratings. |
| Financial analysts | Monitor the IPO pipeline and spot trends in offering sizes or sector activity. |
| Fintech developers | Pipe structured IPO calendar data into a dashboard, newsletter, or trading bot. |
| Journalists | Track which companies are filing to go public and when they expect to price. |
What it does
This Actor collects upcoming IPO entries from the IPOScoop Calendar and returns each one as a flat row with company details, pricing, and the IPOScoop rating.
- ๐ Full calendar extraction: Pull every upcoming IPO listed on IPOScoop in one run.
- ๐ข Configurable volume: Set a maximum number of IPOs to collect, from a single preview up to the full pipeline.
- โญ IPOScoop rating included: Each record carries the proprietary IPOScoop rating that grades the offering's potential.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with IPOScoop data
๐ Build an IPO watchlist.
A retail investor runs the Actor weekly, collects the latest IPOScoop Calendar entries, and filters by rating to decide which offerings to research further.
๐ Feed a market dashboard.
A fintech developer schedules daily runs, pipes the structured IPO data into a company dashboard, and overlays it with sector performance metrics.
๐ฐ Power a newsletter or blog.
A financial journalist scrapes the calendar each Monday, extracts the week's expected pricings, and drafts a curated IPO preview for subscribers.
๐ Spot issuance trends.
An analyst collects the full calendar over several weeks, aggregates by sector and offer size, and identifies shifts in IPO activity before they hit the news.
Why choose this scraper
| What you get | |
|---|---|
| No API needed | Reads the public IPOScoop Calendar page directly, no registration or key required. |
| Structured output | Every IPO comes back as a clean flat row with consistent column names. |
| Flexible volume | Collect anywhere from one IPO to the entire visible calendar in a single run. |
| Rating included | The IPOScoop proprietary rating is captured alongside price and date fields. |
How it compares
No other Store actor targets IPOScoop the same way, so the honest comparison is with the alternatives teams actually weigh.
| IPOScoop Calendar Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When IPOScoop changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor by setting the maximum number of IPO entries to collect per run. The scraper reads the public calendar until it reaches your limit. The Input tab lists every parameter.
A first run with the defaults:
{"maxItems": 10}
A larger pull:
{"maxItems": 200}
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the IPOScoop Calendar Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to IPOScoop through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/iposcoop-calendar-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting fewer results than my maxItems setting?
The Actor can only return entries that are currently listed on the IPOScoop Calendar. If the visible calendar has fewer IPOs than your limit, you will receive all available entries. Check the IPOScoop site directly to confirm the current count.
The run finished but some fields are empty.
IPOScoop may not have published every detail for every upcoming IPO. Fields like the symbol or price range can be blank when the company has not yet disclosed them. This reflects the source data, not a scraping error.
I got an error or timeout during the run.
The IPOScoop site may have been temporarily slow or unreachable. Retry the run after a few minutes. If the problem persists, increase the Actor's timeout setting in the run options.
The rating column shows a value I do not understand.
The rating is IPOScoop's proprietary score. Refer to the IPOScoop website for their current rating methodology and scale explanation.
FAQ
| Question | Answer |
|---|---|
| What data does the IPOScoop Calendar scraper return? | Each row includes the company name, proposed symbol, offer price range, number of shares, expected pricing date, and the IPOScoop rating. The exact field list is shown in the sample output on the Actor's page. |
| Do I need an API key or login to scrape IPOScoop? | No. The Actor reads the public IPOScoop Calendar page directly. You do not need to register, log in, or obtain an API key. |
| How many IPO entries can I collect in one run? | You set the maximum with the input field. The Actor will stop after collecting that many entries, up to the number currently visible on the calendar. |
| Does this Actor get historical IPO data? | It targets the upcoming IPO calendar. The data returned reflects the forward-looking listings that IPOScoop displays at the time of the run. |
| How often should I run this Actor? | The IPOScoop Calendar updates as new filings and pricings are announced. A daily or weekly scheduled run keeps your dataset current without manual checks. |
| What formats can I export the IPO data to? | You can export your dataset to CSV, JSON, Excel, or XML from the Apify platform after the run completes. |
| Does the scraper include the IPOScoop rating? | Yes. The proprietary IPOScoop rating for each offering is captured as part of the standard output row. |
| Can I filter by sector or price range? | The Actor collects the full calendar up to your item limit. You can apply sector or price filters on the exported dataset in your own spreadsheet or script. |
Related actors
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by IPOScoop. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
