Facebook Group Auto Comment Crawler
Budget / Salary£250–750
TypeFreelance project
LocationRemote
Posted2 hours ago
I need a small application (script or lightweight desktop tool) that can quietly monitor a set of Facebook groups, spot question-based posts that match keywords I define, and drop a friendly, casual reply that directs people to my website. Everything has to look and feel human, so rotation between 1–5 pre-loaded Facebook accounts is essential.
How I see it working
• I feed the tool a list of group URLs, search keywords and up to five Facebook logins.
• It checks those groups every few minutes, finds new posts where the author is asking a question and the text matches my keywords, then stores the link and post text in a local log before replying.
• When it replies, the comment is pulled from a short library of friendly, conversational snippets I provide; each snippet contains my site link. The tool shuffles both the message and the account so the same profile isn’t used consecutively.
• Basic anti-detection features (randomised delays, human-like typing, user-agent rotation or similar) keep the accounts safe.
Deliverables
1. Source code plus a compiled executable or ready-to-run script.
2. Simple UI or config file where I can:
– add / remove groups and keywords
– manage the 1–5 account credentials
– set scan interval and daily comment cap
3. Log file or dashboard showing: date, group, post URL, account used, comment text.
4. Quick-start guide so I can install and update credentials myself.
I’m flexible on the tech stack—Python with Selenium, Node + Puppeteer, or another approach you’re comfortable with—as long as it runs on Windows 10 and doesn’t rely on paid third-party services. If you’ve tackled Facebook automation before, let me know what you used to stay compliant and undetected.
The project is done when the tool can run for several hours, reliably detect new question posts, and leave a correctly formatted, friendly comment without triggering blocks.
How I see it working
• I feed the tool a list of group URLs, search keywords and up to five Facebook logins.
• It checks those groups every few minutes, finds new posts where the author is asking a question and the text matches my keywords, then stores the link and post text in a local log before replying.
• When it replies, the comment is pulled from a short library of friendly, conversational snippets I provide; each snippet contains my site link. The tool shuffles both the message and the account so the same profile isn’t used consecutively.
• Basic anti-detection features (randomised delays, human-like typing, user-agent rotation or similar) keep the accounts safe.
Deliverables
1. Source code plus a compiled executable or ready-to-run script.
2. Simple UI or config file where I can:
– add / remove groups and keywords
– manage the 1–5 account credentials
– set scan interval and daily comment cap
3. Log file or dashboard showing: date, group, post URL, account used, comment text.
4. Quick-start guide so I can install and update credentials myself.
I’m flexible on the tech stack—Python with Selenium, Node + Puppeteer, or another approach you’re comfortable with—as long as it runs on Windows 10 and doesn’t rely on paid third-party services. If you’ve tackled Facebook automation before, let me know what you used to stay compliant and undetected.
The project is done when the tool can run for several hours, reliably detect new question posts, and leave a correctly formatted, friendly comment without triggering blocks.
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