Real Estate Data Aggregation Architecture: Listings Information Cleansing and Storage Design

When real estate data hits crawlers, have you stepped in any of these potholes?

Recently, a friend who is an agent complained to me that their team wanted to capture the entire network of second-hand real estate listings to do price analysis, but the result was that the script was blocked IP just two days after the run.The same IP high-frequency access, website anti-climbing strategy in minutes to teach to be a personThe more headache is the listing information format is varied. More headaches is the listing information format is varied, some price tag with "million / set", some write "yuan / square meter", cleaning up simply to death.

How did proxy IPs become the lifeblood of data cleansing?

Let's start with a cold one:It's not the storage technology that really affects the quality of the data, but the stability of the acquisition phaseThe following is an example of how to do this. Imagine you use 10 IP polling crawl, the results of which 3 IP was blocked resulting in data mutilation, the subsequent cleaning process directly scrapped. Here we recommend the use of ipipgo's dynamic residential proxy, their IP pool is updated every day 20% or more, especially suitable for the need forStable acquisition over a long period of timeThe Scene.

Take a real case: a real estate platform with a common server room agent to catch the Anjuke data, every 2 hours to change a batch of IP. the results of the cleaning found:

Then I switched to ipipgo.Long-term residential IPThe single IP survival cycle is extended to 6 hours, and the data integrity rate is directly increased to 92%.

Three Tips to Fix Dirty Data

First move:Dynamic IP Binding Capture TasksThe API of ipipgo supports assigning IP segments by task. Bind each listing ID to a specific proxy IP, so that even if an IP is blocked, it can be accurately renewed when it is reassigned. ipipgo's API supports the assignment of IP segments by task, a feature that has been measured to reduce duplicate harvesting by 73%.

Second move:Real-time cleaning instead of aftercare. Do field verification before data entry, and immediately re-capture the data with spare IP if any abnormality is found. For example, when "Negotiable" appears in the price field, it automatically switches IP to capture the details page twice.

Third move:Heterogeneous storage to play throughThe original data is stored in MongoDB to facilitate the processing of unstructured data. The raw data is stored in MongoDB for easy processing of unstructured data, and the cleaned standard data is stored in MySQL. the point is to mark each packet with the source IP, so that when troubleshooting problems, you can quickly locate whether it is a collection anomaly or a cleaning error.

Soul torture you may have encountered

Q: Does using a proxy IP really improve data quality?
A: To give a chestnut, a certain website limits the flow to 2 times per second for server room IPs and relaxes it to 5 times for residential IPs. With ipipgo's residential proxy, single-threaded efficiency can improve 150%, collecting more fully natural data more complete.

Q: What about cleaning rules that always need to be changed?
A: Recommendation to establishAbnormal Sample Bank, archive the cleaning failure cases and corresponding IP information. When an IP frequently triggers abnormal rules, promptly add it to the blacklist in the ipipgo background.

Q: How do you break the storage cost explosion?
A: Try the hot and cold separation, the original data of 3 months ago to OSS. ipipgo's traffic packages support on-demand capacity expansion, and storage solutions with the use of can save 30% or more costs.

Tell the truth.

Seen too many teams in the technology selection on the more hard, but ignored the most basic collection stability. Last year, a customer insisted on self-built proxy servers, the results of monthly maintenance costs enough to buy ipipgo three-year service. RememberLeave the professional work to the professionals, instead of tossing IP pool maintenance, focus on data modeling.

Recently ipipgo went onlineSpecialized channel for real estate dataIt has been optimized for the request characteristics of Chain Home and Shell. If you need it, you can go to the official website to get a test package, and new users will be sent 5GB of traffic to try it out. After all, practice makes perfect, and it's better to run through it than to read ten tutorials.