Back Market Products Scraper
Pricing
from $19.00 / 1,000 results
Back Market Products Scraper
Searches Back Market by keyword and returns each refurbished electronics listing as a flat row with price, condition grade, and seller details.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
1
Bookmarked
17
Total users
1
Monthly active users
3 days ago
Last modified
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Back Market Products Scraper
Scrape refurbished electronics from Back Market by keyword, price, and condition, up to a million products per run. Each product listing includes its price, condition grade, seller info, and direct URL. Export to CSV, JSON, Excel, or XML.
Back Market is the go-to marketplace for refurbished phones, laptops, and tablets, but browsing by hand to compare prices and grades across thousands of sellers is slow. This Actor searches Back Market directly from a keyword you provide and returns every matching listing in a clean, flat dataset. No API registration, no manual clicking, a keyword and the fields you need.
| Who uses it | What they scrape Back Market for |
|---|---|
| Deal hunters and comparison shoppers | Spot the lowest price for a specific refurbished phone or laptop model across all Back Market sellers. |
| Refurbished resellers | Monitor Back Market pricing and grade availability to stay competitive with your own refurb inventory. |
| Market researchers | Track the average listed price for iPhone 13 or MacBook Pro grades over time in the refurbished electronics market. |
What it does
This Actor searches Back Market for a product keyword and returns each listing as a flat row with price, condition grade, and seller details.
- 📱 Keyword search: Feed the Actor any product name, like 'iPhone 13', 'Samsung Galaxy', or 'MacBook Pro', and collect the results.
- 💰 Price filtering: Set a min and max price in USD to focus on listings within your budget.
- ⭐ Condition grade filter: Limit results to 'Excellent', 'Good', or 'Fair' grades only.
- 🔢 Sort order: Choose to sort results by best sales, lowest price, or highest price.
- 📥 Flexible volume: Collect anywhere from a single listing up to one million products in a single run.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Back Market data
💸 Find the best deal on a specific model.
A deal hunter types 'iPhone 13' into the search, sets a max price of $400, and collects every listing to find the cheapest Excellent-grade phone.
📊 Monitor refurbished market pricing.
A market researcher runs the Actor weekly for 'MacBook Pro' and 'Galaxy S22' to build a price history and grade distribution dataset for a trend report.
🏪 Audit seller inventory and grades.
A refurbished reseller scrapes Back Market for 'iPhone 13' listings and pulls seller names with their listed grades to understand who is stocking what.
🔍 Compare grade premiums.
A pricing analyst runs the Actor three times for the same keyword, filtering by Excellent, Good, and Fair, to calculate the typical price gap between grades.
Why choose this scraper
| What you get | |
|---|---|
| Instant setup | A search keyword is all you need. No accounts, no proxies to configure. |
| Clean flat output | Every listing is one row with a fixed set of fields, ready for sheets or a database. |
| One million listings per run | Collect large batches of refurbished electronics data without paginating by hand. |
How it compares
No other Store actor targets Back Market the same way, so the honest comparison is with the alternatives teams actually weigh.
| Back Market Products Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Back Market 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 with a search keyword, and optional price, condition, and sort-order filters run as each listing is read so only matches reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
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 Back Market Products 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 Back Market through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why is my run returning zero results?
Check your search keyword. Try a simpler, broader term like 'iPhone' first. Also verify your price and condition filters are not too restrictive.
Why are prices in the output different from my USD filter?
The minPrice and maxPrice filters convert your USD input to approximate local values. Back Market may show prices in a different currency depending on your location.
Why did my run stop before reaching maxItems?
The Actor collected every available listing for your keyword and filters. There were not more results. Increase your volume by broadening the keyword or relaxing filters.
Some listings have missing price or grade fields. Is that a bug?
Rarely, a listing may lack a visible price or grade on the search results page. These rows will have empty values for those fields; this reflects Back Market's display, not an Actor error.
FAQ
| Question | Answer |
|---|---|
| Do I need a Back Market account or API key? | No. This Actor reads publicly available search results directly, so no account, API key, or login is needed. |
| Can I scrape listings from a specific seller? | You can search by keyword and the resulting dataset includes seller names. If you need only one seller, filter the output in your spreadsheet or downstream code. |
| What currencies are the prices in? | The Actor returns prices as listed on Back Market. Price filters use USD, but the scraped price field reflects whatever currency appears on the listing. |
| Can I get product images or detailed descriptions? | The dataset includes the listing URL. You can visit the link or use a detail-page scraper to pull images and full specs separately. |
| How long does a run take? | It depends on the number of products you request and Back Market's response time. Collecting a few hundred listings usually takes under a minute. |
| What is the maximum number of products I can scrape? | You can set maxItems up to 1,000,000. The Actor will stop when it reaches your limit or runs out of search results. |
| Can I run this for multiple keywords at once? | One run handles one keyword. To run many keywords, queue multiple runs with different searchQuery values via the Apify API or Scheduler. |
| Which export formats do you support? | Your dataset can be exported to CSV, JSON, Excel, XML, or RSS, directly from the Apify run detail page. |
| Does this work for any Back Market country site? | It scrapes the main Back Market domain. If you need a specific country subdomain, reach out to confirm coverage. |
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 Back Market. 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.
