Fierce Biotech News Scraper
Pricing
from $7.50 / 1,000 results
Fierce Biotech News Scraper
Scrapes Fierce Biotech news articles from Main, Research, Regulatory, Clinical, Deals, and R&D RSS feeds. Returns each article's title, summary, publication date, and URL.
Pricing
from $7.50 / 1,000 results
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0.0
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ParseForge
Maintained by CommunityActor stats
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Monthly active users
12 days ago
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Fierce Biotech News Scraper
Scrape Fierce Biotech news articles by topic, keyword, or RSS feed, up to a million per run. Every article comes with its title, summary, publication date, and full body text. No login or API key. Export to CSV, JSON, Excel, or XML.
Fierce Biotech publishes breaking news on drug development, clinical trials, regulatory decisions, and biotech deals, but browsing the site or its RSS feeds manually is slow. This Actor reads the public RSS feeds directly, filters articles by a keyword you provide, and returns each match in one fixed schema. You get the latest Fierce Biotech news without writing a single line of code.
| Who uses it | What they scrape Fierce Biotech for |
|---|---|
| Market researchers | Monitor which biotech topics and companies are gaining news coverage this week. |
| Competitive intelligence analysts | Track drug development milestones and regulatory filings mentioned in the press. |
| Investors | Surface early signals from clinical trial results and biotech partnership announcements. |
| Content aggregators | Pull a clean, structured feed of biotech headlines for a newsletter or dashboard. |
What it does
This Actor collects Fierce Biotech news articles from any of six RSS feeds, filtered by a keyword, and returns each one as a flat row.
- π‘ Six RSS feeds: Main, Research, Regulatory, Clinical, Deals, and R&D sections, each pulled on demand.
- π Keyword filter: A substring match runs against the article title and summary so only relevant stories reach your dataset.
- π Volume control: Set a maximum article count per run, from a single story up to one million.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Fierce Biotech data
π Track drug development news.
A market researcher pulls the Clinical and R&D feeds with the keyword 'Alzheimerβs' to map which therapies are advancing and which companies are leading the conversation.
π Monitor regulatory decisions.
A competitive analyst scrapes the Regulatory feed daily for FDA approval stories, filtering on a competitorβs drug name to catch every mention.
π° Surface biotech deal flow.
An investor runs the Deals feed with a high maxItems count each Monday morning to review every partnership and licensing agreement announced over the weekend.
π° Build a curated newsletter.
A content curator pulls the Main feed, filters on 'gene therapy', and exports the top 20 articles to JSON for a weekly subscriber email.
Why choose this scraper
| What you get | |
|---|---|
| No API key or registration | Reads the public RSS feeds directly, no OAuth or app setup. |
| Fixed flat schema | Every article lands with the same fields, ready for analysis or a database. |
| Keyword precision | Substring filter on title and summary keeps the noise out. |
| Section targeting | Pull only the Clinical feed, or only Deals, instead of the whole firehose. |
How it compares
No other Store actor targets Fierce Biotech the same way, so the honest comparison is with the alternatives teams actually weigh.
| Fierce Biotech News Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Fierce Biotech 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 from a Fierce Biotech RSS feed and an optional keyword, and the filter runs as each article is read so only matches reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
{"maxItems": 10}
A larger pull:
{"maxItems": 200}
Pricing
Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |
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 Fierce Biotech News 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 Fierce Biotech 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/fiercebiotech-news-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check your keyword filter. It is a substring match on title and summary. Try a broader term or remove the keyword entirely to see all articles from the selected feed.
The run finished but I expected more articles.
RSS feeds have a limited number of entries. If you set maxItems higher than the feed contains, you will get only what the feed offers. Try a different feed section or check back later.
Some article body text looks truncated.
RSS feeds sometimes carry only a summary or the first few paragraphs. The Actor returns whatever the feed provides. For the full article, you may need to visit the source URL.
The keyword filter is missing articles I know exist.
The filter matches the exact substring you provide. Check spelling, try a shorter substring, or test with the keyword field empty to confirm the article is in the feed.
FAQ
| Question | Answer |
|---|---|
| What Fierce Biotech sections can I scrape? | You can choose from six RSS feeds: Main, Research, Regulatory, Clinical, Deals, and R&D. Select one per run in the input. |
| How does the keyword filter work? | It performs a case-insensitive substring match against the article title and summary. Only articles that contain your keyword in either field are returned. |
| Can I scrape the full article body text? | Yes. The Actor collects the full body text of each article along with the title, summary, and publication date. |
| Do I need an API key or login? | No. The Actor reads the public RSS feeds, so no registration, API key, or authentication is required. |
| How many articles can I collect in one run? | You set the maximum with the maxItems field. The allowed range is 1 to 1,000,000 articles per run. |
| What output formats are supported? | You can export your dataset to CSV, JSON, Excel, or XML from the Apify platform. |
| Does this Actor scrape historical articles? | It pulls whatever articles are currently available in the selected RSS feed. RSS feeds typically carry recent stories, not a full historical archive. |
| Can I run this on a schedule? | Yes. You can set up a recurring schedule in Apify, such as every morning at 8 AM, to pull the latest Fierce Biotech news automatically. |
| Is the data returned in a consistent format? | Every article is returned as a flat row with the same fields, making it easy to load into a spreadsheet or database. |
Related actors
Browse the full ParseForge collection for more scrapers.
π Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
β οΈ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Questex LLC. 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.
