
Facebook Posts/Comments Scraper
Pricing
$25.00/month + usage

Facebook Posts/Comments Scraper
Facebook Post Scraper with Comments extracts Facebook post details, including text, author info, likes, shares, and media. It also scrapes comments with user details, engagement metrics, and timestamps. Ideal for social media monitoring, sentiment analysis, and audience insights.
0.0 (0)
Pricing
$25.00/month + usage
6
131
50
Issues response
9.5 hours
Last modified
20 days ago
Incorrect View Count Scraped from Facebook Reel
Closed
I am using the Facebook Video Scraper Actor to extract data from the following reel: 🔗 https://www.facebook.com/share/v/174zepZDpb
However, the view count returned by the actor is significantly inaccurate and does not reflect the actual views displayed on Facebook. This discrepancy is creating serious inconsistencies in my analytics and reporting workflow.
This is a critical issue, especially considering this actor is intended for production use. I rely on accurate metrics, and incorrect data undermines the reliability of the entire process.
Please investigate this issue urgently and ensure that the actor retrieves the correct, real-time view count as displayed on the Facebook platform.

Hi,
Thank you for bringing this to my attention.
I’ve investigated the issue regarding the inaccurate view count for the reel: https://www.facebook.com/share/v/174zepZDpb, and I’m happy to confirm that the problem has now been resolved.
Run: https://console.apify.com/view/runs/AV5EHRVZBvdFSr7bt
I mark this issue as resolved and feel free to open another issue if anything else occurred!
Best,
chintanbhavsar
I would also like to bring to your attention that similar issues have occurred multiple times over the past few runs. These repeated inaccuracies are impacting our ability to generate reliable reports, which is a serious concern for our workflow.
Please understand that we are using a paid service and expect consistent, accurate performance. We kindly request that you take this matter seriously and ensure such issues do not occur again in the future.
We appreciate your support but also hope for improved reliability moving forward.

Thank you for your message and for highlighting your concerns.
I completely understand the importance of consistent and accurate performance, especially when it impacts your reporting. While the recent issue has been resolved, I want to assure you that I take your feedback seriously and will continue working to improve reliability moving forward.
I appreciate your patience and your continued trust in the service.
Best regards,