Hopper Travel Research Scraper

Hopper Travel Research Scraper

Scrape Hopper travel research reports, press releases, and articles to track airline and hotel pricing trends, consumer demand shifts, and market forecasts. Every post comes with its title, publication date, category, and full body text. No API key or login. Export to CSV, JSON, Excel, or XML.

Hopper publishes proprietary travel data and market analysis that airlines, hotel chains, and tourism boards use to forecast demand. Their Media Center is the public source for that research, but it has no API and no bulk export. This Actor reads the research reports, press releases, and articles sections directly, filters by date range, and returns each post in one fixed schema.

Who uses it	What they scrape Hopper Media Center & Travel Research Hub for
Revenue managers	Track Hopper's forward-looking price and demand forecasts for specific routes or markets.
Travel industry analysts	Collect quarterly consumer trend reports and press releases for competitive intelligence.
Content marketers	Gather Hopper's travel guides and tips articles for content curation and trend spotting.
Academic researchers	Build a corpus of industry pricing data and travel behavior studies for analysis.

What it does

This Actor collects Hopper Media Center posts by content type and date range, and returns each one as a flat row.

• 📄 Content type selection: Choose from Research Reports, Press Releases, or Articles and Guides, alone or together.
• 📅 Date range filter: Set earliest and latest publication dates to collect only posts from a specific quarter or event window.
• 🔢 Volume control: Cap the total posts per run from 1 up to 1,000,000 to fit your research scope.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Hopper Media Center & Travel Research Hub data

📈 Monitor travel demand forecasts.

A revenue manager scrapes Hopper's quarterly research reports to adjust room rates ahead of predicted demand shifts.

📰 Track airline and hotel industry announcements.

A competitive intelligence analyst collects Hopper press releases to log new route launches, funding rounds, and partnership deals.

✍️ Curate travel advice content.

A content marketer scrapes Hopper's articles and guides to identify trending travel tips and destination advice for their own editorial calendar.

🎓 Build a travel economics dataset.

An academic researcher collects years of Hopper reports to analyze long-term pricing trends and consumer booking behavior.

Why choose this scraper

	What you get
Proprietary data	Hopper's own consumer demand and price prediction signals, not available from OTAs or GDS feeds.
No API overhead	Reads the public Media Center directly. No app registration, no rate-limit negotiation, no OAuth.
Structured output	Every post lands as a clean row with title, date, category, and full text, ready for analysis.
Date precision	Filter by exact date range to capture only the reports that matter for your current project.

How it compares

This Actor scrapes Hopper's published research and news content, while the competitors below scrape live flight and hotel pricing from Hopper's consumer booking interface.

Feature	ParseForge	Hopper Flight Scraper	Hopper Hotel Scraper	Hopper Stays Scraper
Scrapes Hopper Media Center research reports	Yes	Not listed	Not listed	Not listed
Scrapes Hopper press releases and news	Yes	Not listed	Not listed	Not listed
Scrapes Hopper travel articles and guides	Yes	Not listed	Not listed	Not listed
Scrapes live flight prices and itineraries	Not listed	Yes	Not listed	Not listed
Scrapes live hotel prices and property details	Not listed	Not listed	Yes	Yes
Date range filter for published content	Yes	Not listed	Not listed	Not listed

Configure the run

Drive the Actor by selecting one or more content types, and optionally narrow the results with a start and end date so only matching posts 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: $0.015 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$1.50
1,000 results	$15.00
10,000 results	$150.00

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

1. Create a free Apify account with $5 in credit.
2. Open the Hopper Travel Research Scraper.
3. Set your inputs and any filters, then click Start.
4. 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 Hopper Media Center & Travel Research Hub 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/hopper-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 date range. If the Earliest and Latest Post Date fields are too narrow, or set to a period with no published content, the Actor will return an empty dataset. Try widening the date range or leaving the fields blank.

The Actor is returning fewer posts than my max items setting.

The Actor stops when it has collected all available posts that match your content type and date filters. If the Media Center has fewer matching posts than your max items value, you will receive only what exists.

Some posts seem to be missing from my dataset.

Confirm that you have selected the correct content types. A press release will not appear if you only selected 'Research Reports'. Also verify your date filters do not exclude the posts you expect.

The run failed with a timeout error.

If you set a very high max items value and the site is slow to respond, the run may hit Apify's default timeout. Try reducing the max items per run or increasing the run timeout in the Actor's advanced settings.

The body text is truncated or missing for some posts.

Some older posts or press releases may have a different page structure. If the issue is consistent, contact support with a link to the specific post so the parser can be updated.

FAQ

Question	Answer
What exactly is Hopper's Media Center?	It is the public-facing hub where Hopper publishes its original research reports on flight and hotel pricing, consumer travel trends, press releases about company news, and travel advice articles. This Actor scrapes that content.
Does this Actor scrape live flight or hotel prices from Hopper?	No. This Actor scrapes the research, news, and articles published on Hopper's Media Center. For live flight prices, use a dedicated Hopper Flight Scraper. For live hotel prices, use a Hopper Hotel or Stays Scraper.
Can I get the full text of each report or article?	Yes. Each row in your dataset includes the complete body text of the post, along with its title, publication date, and content type.
How do I scrape only research reports from the last quarter?	Set the Content Types to 'Research Reports' and enter the quarter's start and end dates in the Earliest and Latest Post Date fields.
Is there a limit on how many posts I can scrape?	You can set the maximum posts per run up to 1,000,000. The Actor will stop once it reaches that count or runs out of matching posts.
Do I need a Hopper account or API key?	No. The Actor reads the publicly accessible Media Center pages. No login, API key, or registration is required.
What output formats are supported?	You can export your dataset in CSV, JSON, Excel, or XML from the Apify platform.
Can I schedule this Actor to run weekly?	Yes. Use Apify's built-in scheduler to run the Actor on a recurring basis and collect new posts as they are published.
Does this Actor handle pagination automatically?	Yes. It navigates through all available pages of the selected content types until it reaches your max items limit or the date filter cutoff.
What is the difference between Research Reports and Articles?	Research Reports are Hopper's proprietary data analyses and market forecasts. Articles are consumer-facing travel guides and tips. You can scrape either or both.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Hopper Inc. 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.