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What does Pricecharting.com Product Collection Price History Scraper do?

The Pricecharting.com Product Collection Price History Scraper is a specialized tool that allows you to extract detailed product collection price history data directly from the Pricecharting.com platform. It provides comprehensive product collection price history information in structured formats like JSON, which you can easily integrate into your reports, spreadsheets, or applications.

With this scraper, you can:

• Extract detailed product collection price history information from Pricecharting.com.
• Access data in structured formats like JSON for seamless integration and analysis.
• Collect comprehensive product collection price history details from all countries where Pricecharting operates.

The scraper allows you to collect comprehensive product collection price history information, including:

• URL
• Title
• Chart Data
• From URL

Input & Output

To start collecting Pricecharting product collection price history data, simply fill out the input form. Pricecharting.com Product Collection Price History Scraper recognizes the following input parameters:

• URLs - Links to product collection price history information pages. You can paste URLs one at a time or use the Bulk Edit section to add a prepared list.
• Limit the number of retries - Maximum number of retries for each URL when collecting data when an unexpected error occurs.
• Proxy configuration - Add a proxy to ensure that during the data collection process, you are not detected as a bot.

Collect price history data from product collection price history information pages

Example url: https://www.pricecharting.com/console/pokemon-promo

Example Screenshot of product collection price history information page:

Input:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "urls": [ // Links to product collection price history information pages.
    "https://www.pricecharting.com/console/pokemon-promo"
  ]
}

Output:

You get the output from the Pricecharting.com Product Collection Price History Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of product collection price history information
  {
    "url": "https://www.pricecharting.com/console/pokemon-promo",
    "title": "Prices for Pokemon Promo Pokemon Cards",
    "chart_data": {
      "median": [
        [
          "2021-02-03 00:00:00+00:00",
          508
        ],
        [
          "2021-03-03 00:00:00+00:00",
          487
        ],
        [
          "2021-04-03 00:00:00+00:00",
          493
        ],
        [
          "2021-05-03 00:00:00+00:00",
          463
        ],
        [
          "2021-06-03 00:00:00+00:00",
          441
        ],
        [
          "2021-07-03 00:00:00+00:00",
          429
        ],
        [
          "2021-08-24 18:05:58+00:00",
          417
        ],
        [
          "2021-09-03 19:55:27+00:00",
          420
        ],
        [
          "2021-10-02 02:05:02+00:00",
          400
        ],
        [
          "2021-11-02 08:04:54+00:00",
          435
        ],
        [
          "2021-12-02 09:05:02+00:00",
          470
        ],
        [
          "2022-01-03 00:00:00+00:00",
          480
        ],
        [
          "2022-02-02 09:05:06+00:00",
          482
        ],
        [
          "2022-03-10 17:26:40+00:00",
          496
        ],
        [
          "2022-04-02 08:02:59+00:00",
          481
        ],
        [
          "2022-05-02 08:02:55+00:00",
          482
        ],
        [
          "2022-06-02 08:02:50+00:00",
          497
        ],
        [
          "2022-07-02 08:03:00+00:00",
          475
        ],
        [
          "2022-08-02 08:03:03+00:00",
          461
        ],
        [
          "2022-09-02 08:02:59+00:00",
          463
        ],
        [
          "2022-10-02 08:02:48+00:00",
          467
        ],
        [
          "2022-11-02 08:03:04+00:00",
          455
        ],
        [
          "2022-12-02 09:03:11+00:00",
          463
        ],
        [
          "2023-01-02 09:03:20+00:00",
          457
        ],
        [
          "2023-02-02 09:03:21+00:00",
          496
        ],
        [
          "2023-03-02 09:03:43+00:00",
          475
        ],
        [
          "2023-04-02 08:03:44+00:00",
          461
        ],
        [
          "2023-05-02 08:03:32+00:00",
          455
        ],
        [
          "2023-06-02 08:03:46+00:00",
          449
        ],
        [
          "2023-07-02 08:03:38+00:00",
          438
        ],
        [
          "2023-08-02 08:04:07+00:00",
          428
        ],
        [
          "2023-09-02 08:03:45+00:00",
          415
        ],
        [
          "2023-10-02 08:03:35+00:00",
          412
        ],
        [
          "2023-11-02 08:03:46+00:00",
          400
        ],
        [
          "2023-12-02 09:03:53+00:00",
          423
        ],
        [
          "2024-01-02 09:03:25+00:00",
          418
        ],
        [
          "2024-02-02 09:03:36+00:00",
          464
        ],
        [
          "2024-03-02 09:03:55+00:00",
          424
        ],
        [
          "2024-04-02 08:03:34+00:00",
          419
        ],
        [
          "2024-05-02 08:03:38+00:00",
          422
        ],
        [
          "2024-06-02 08:03:35+00:00",
          425
        ],
        [
          "2024-07-02 08:03:55+00:00",
          435
        ],
        [
          "2024-08-02 08:04:12+00:00",
          400
        ],
        [
          "2024-09-02 08:03:58+00:00",
          399
        ],
        [
          "2024-10-02 08:03:48+00:00",
          401
        ],
        [
          "2024-11-02 08:04:02+00:00",
          400
        ],
        [
          "2024-12-02 09:04:00+00:00",
          399
        ],
        [
          "2025-01-02 09:03:50+00:00",
          407
        ]
      ],
      "value": [
        [
          "2021-02-03 00:00:00+00:00",
          1567
        ],
        [
          "2021-03-03 00:00:00+00:00",
          1739
        ],
        [
          "2021-04-03 00:00:00+00:00",
          1716
        ],
        [
          "2021-05-03 00:00:00+00:00",
          1635
        ],
        [
          "2021-06-03 00:00:00+00:00",
          1411
        ],
        [
          "2021-07-03 00:00:00+00:00",
          1437
        ],
        [
          "2021-08-24 18:05:58+00:00",
          1376
        ],
        [
          "2021-09-03 19:55:27+00:00",
          1403
        ],
        [
          "2021-10-02 02:05:02+00:00",
          1397
        ],
        [
          "2021-11-02 08:04:54+00:00",
          1335
        ],
        [
          "2021-12-02 09:05:02+00:00",
          1352
        ],
        [
          "2022-01-03 00:00:00+00:00",
          1435
        ],
        [
          "2022-02-02 09:05:06+00:00",
          1403
        ],
        [
          "2022-03-10 17:26:40+00:00",
          1539
        ],
        [
          "2022-04-02 08:02:59+00:00",
          1505
        ],
        [
          "2022-05-02 08:02:55+00:00",
          1505
        ],
        [
          "2022-06-02 08:02:50+00:00",
          1556
        ],
        [
          "2022-07-02 08:03:00+00:00",
          1543
        ],
        [
          "2022-08-02 08:03:03+00:00",
          1557
        ],
        [
          "2022-09-02 08:02:59+00:00",
          1561
        ],
        [
          "2022-10-02 08:02:48+00:00",
          1499
        ],
        [
          "2022-11-02 08:03:04+00:00",
          1467
        ],
        [
          "2022-12-02 09:03:11+00:00",
          1749
        ],
        [
          "2023-01-02 09:03:20+00:00",
          1520
        ],
        [
          "2023-02-02 09:03:21+00:00",
          1524
        ],
        [
          "2023-03-02 09:03:43+00:00",
          1454
        ],
        [
          "2023-04-02 08:03:44+00:00",
          1453
        ],
        [
          "2023-05-02 08:03:32+00:00",
          1456
        ],
        [
          "2023-06-02 08:03:46+00:00",
          1457
        ],
        [
          "2023-07-02 08:03:38+00:00",
          1469
        ],
        [
          "2023-08-02 08:04:07+00:00",
          1462
        ],
        [
          "2023-09-02 08:03:45+00:00",
          1471
        ],
        [
          "2023-10-02 08:03:35+00:00",
          1448
        ],
        [
          "2023-11-02 08:03:46+00:00",
          1413
        ],
        [
          "2023-12-02 09:03:53+00:00",
          1403
        ],
        [
          "2024-01-02 09:03:25+00:00",
          1415
        ],
        [
          "2024-02-02 09:03:36+00:00",
          1486
        ],
        [
          "2024-03-02 09:03:55+00:00",
          1433
        ],
        [
          "2024-04-02 08:03:34+00:00",
          1602
        ],
        [
          "2024-05-02 08:03:38+00:00",
          1587
        ],
        [
          "2024-06-02 08:03:35+00:00",
          1600
        ],
        [
          "2024-07-02 08:03:55+00:00",
          1604
        ],
        [
          "2024-08-02 08:04:12+00:00",
          1709
        ],
        [
          "2024-09-02 08:03:58+00:00",
          1685
        ],
        [
          "2024-10-02 08:03:48+00:00",
          1659
        ],
        [
          "2024-11-02 08:04:02+00:00",
          1656
        ],
        [
          "2024-12-02 09:04:00+00:00",
          1659
        ],
        [
          "2025-01-02 09:03:50+00:00",
          1658
        ]
      ]
    },
    "from_url": "https://www.pricecharting.com/console/pokemon-promo"
  }, // ... Many other product collection price history details
]

How can I use the data extracted from Pricecharting with Pricecharting.com Product Collection Price History Scraper?

💙 Increase Brand Awareness: Leverage the data to boost your brand's visibility and recognition on Pricecharting.com and other platforms.

📈 Analyze Trends and Market Influences: Track and analyze emerging trends in product collection price history categories, brands, and sellers to maintain a competitive advantage in the market.

🔬 Fuel Research and Testing: Use the extracted data for in-depth research and testing, helping you refine strategies or develop new product collection price history products.

⭐ Enhance Sentiment Analysis: Count and score authentic reviews of product collection price histories to strengthen sentiment analysis with accurate and reliable data.

🪧 Plan Data-Driven Commercial Campaigns: Create impactful commercial campaigns for Pricecharting.com or other sales platforms, using data-driven insights to drive growth.

📚 Simplify Market Research: Streamline your market research efforts and enhance your marketing strategies with actionable insights from Pricecharting.com.

📋 Generate Targeted Marketing Leads: Build a list of perfectly matched marketing leads to optimize outreach and improve conversion rates.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Pricecharting.com Product Collection Price History Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.